Board of Governors of the Federal Reserve System

Abstract:

This paper investigates how corporate tax changes affect workers’ earnings. We use a dataset of U.S. worker-level W-2 filings matched with corporate tax returns and study the implementation of the Domestic Production Activities Deduction (DPAD). We find the DPAD tax rate reduction has a substantial effect on the distribution of annual wage earnings within a firm. Earnings of workers at the top of their firm’s earnings distribution rise relative to those at the bottom of the distribution. We estimate a semi-elasticity of average earnings of 1.1 with respect to the DPAD marginal tax rate reduction, while the semi-elasticity of median earnings is notably smaller—0.5. Furthermore, we estimate a semi-elasticity of 1.3 at the 95th percentile of workers’ earnings and 2.7 at the 99th percentile. This trend of larger semi-elasticities at the top of the earnings distribution is especially pronounced for small firms. Looking at overall employment effects, we see no change overall, but the number of employees rises at small firms and declines at large firms. In contrast, we find that capital investment rises for large firms, suggesting that the DPAD also resulted in domestic capitallabor substitution for large corporations. Our paper has significant implications for assessing the progressivity of the U.S. tax code and for analyzing the effect of corporate tax policy changes on the U.S. income distribution.

DOI: https://doi.org/10.17016/FEDS.2021.081

Abstract:

U.S. labor markets are increasingly diverse and persistently unequal between genders, races and ethnicities, skill levels, and age groups. We use a structural model to decompose the observed differences in labor market outcomes across demographic groups in terms of underlying wedges in fundamentals. Of particular interest is the potential role of discrimination, either taste-based or statistical. Our model is a version of the Diamond-Mortensen-Pissarides model extended to include a life cycle, learning by doing, a nonparticipation state, and informational frictions. The model exhibits group-specific wedges in initial human capital, returns to experience, matching efficiencies, and job separation rates. We use the model to reverse engineer group-specific wedges that we then feed back into the model to assess the fraction of various disparities they account for. Applying this methodology to 1998–2018 U.S. data, we show that differences in initial human capital, returns to experience, and job separation rates account for most of the demographic disparities; wedges in matching efficiencies play a secondary role. Our results suggest a minor aggregate impact of taste-based discrimination in hiring and an important role for statistical discrimination affecting particularly female groups and Black males. Our approach is macro, structural, unified, and comprehensive.

Keywords: Search; Unemployment; Discrimination; Statistical Discrimination; Taste-Based Discrimination; Structural; Decomposition.

DOI: https://doi.org/10.17016/FEDS.2021.080

Abstract:

We study the role that recourse plays in the commercial real estate loan contracts of the largest U.S. banks. We find that recourse is valued by lenders and is treated as a substitute for conventional equity. At origination, recourse loans have rate spreads that are at least 20 basis points lower and loan-to-value ratios that are around 3 percentage points higher than non-recourse loans. Dynamically, recourse affects loan modification negotiations by providing additional bargaining power to the lender. Recourse loans were half as likely to receive accommodation during the COVID-19 pandemic, and the modifications that did occur entailed a relatively smaller reduction in payments.

Keywords: commercial real estate, recourse, LTV

DOI: https://doi.org/10.17016/FEDS.2021.079

Abstract:

We study the effects of the Main Street Lending Program (MSLP) an emergency lending program aimed at supporting the flow of credit to small and mid-sized firms during the COVID-19 crisis on bank lending to businesses. Using instrumental variables for identification and multiple loan-level and survey data sources, we document that the MSLP increased banks' willingness to lend more generally outside the program to both large and small firms. Following the introduction of the program, participating banks were more likely to renew maturing loans and to originate new loans, as well as less likely to tighten standards on business loans than nonparticipating banks. Additional evidence suggests that the MSLP, despite low take-up, supported the flow of bank credit during the pandemic by serving as a backstop to the bank loan market and by increasing banks' levels of risk tolerance in the face of uncertainty.

Keywords: Main Street Lending Program, Federal Reserve, bank lending, COVID- 19 pandemic, emergency lending facilities

DOI: https://doi.org/10.17016/FEDS.2021.078

Abstract:

The creation of new businesses declines in recessions. In this paper, I study the effects of pro-cyclical business formation on aggregate employment in a general equilibrium model of firm dynamics. The key features of the model are that the elasticity of demand faced by firms falls with their market share and that adjustment costs slow the reallocation of employment between firms. In response to a decline in entry, incumbent firms' market shares increase, their elasticity of demand falls, and they increase their markups and reduce employment. To quantify the model, I study the relationship between variable input use and revenue in panel data on large firms. Viewed through the lens of my model, my estimates imply that for large firms, the within-firm elasticity of the markup to relative sales is 25 percent. I use the calibrated model to study shocks to entry, finding that a fall in entry can lead to a significant contraction in employment. A shock to entry that replicates the decline in the number of businesses during the Great Recession generates a prolonged 2.5 percent fall in employment in the model. Finally, I show that the declining correlation between revenue and variable input use over the past 30 years implies that the effect of entry on the business cycle has become stronger over time.

DOI: https://doi.org/10.17016/FEDS.2021.077

Abstract:

Most financial advisors recommend storing three to six months of expenses in liquid assets in case of an emergency. Yet we estimate that more than half of U.S. families do not have at least three months of their non-discretionary expenses in liquid savings. We find that financial literacy is strongly predictive of having three months of liquid savings, controlling for income, income variability, and even parental resources. We also find that financial literacy predicts liquid savings across the income distribution. These results indicate that accumulation of an emergency fund is not simply a function of income. Finally, financial literacy is predictive of liquid savings even among high illiquid wealth households. This suggests that the phenomenon of "wealthy hand-to-mouth" families may reflect financial mistakes rather than portfolio optimization. Our paper highlights the importance of financial knowledge in explaining families' preparedness to deal with unexpected expenses or disruption in their income.

DOI: https://doi.org/10.17016/FEDS.2021.076

Abstract:

Banking the unbanked is a common policy goal, but should this include access to bank accounts for minors? This study estimates how teenagers' access to bank accounts affects their financial development. Using variation in state laws, we show policies that permit access to independently-owned accounts increase account ownership at age 16 through age 19, although by age 24 those young adults are banked at similar rates to teens who grew up in states that do not allow minors to own accounts independently. Teens who had access to independently-owned accounts use fewer high-cost alternative financial services (like payday loans) through age 20—but are then more likely to use AFS, particularly check-cashing services, from age 21 through 24. Using credit records, we show that access to non-custodial accounts has no effects on credit scores in the short-run, but lower credit scores and more loan delinquencies at ages 21 through 24. While these state laws promote financial inclusion for teenagers, the young people who take on accounts may experience negative consequences in the longer run.

DOI: https://doi.org/10.17016/FEDS.2021.075

Abstract:

While the literature has already widely documented the effects of macroeconomic news announcements on asset prices, as well as their asymmetric impact during good and bad times, we focus on the reaction to news based on the description of the state of the economy as painted by the Federal Open Market Committee (FOMC) statements. We develop a novel FOMC sentiment index using textual analysis techniques, and find that news has a bigger (smaller) effect on equity prices during bad (good) times as described by the FOMC sentiment index. Our analysis suggests that the FOMC sentiment index offers a reading on current and future macroeconomic conditions that will affect the probability of a change in interest rates, and the reaction of equity prices to news depends on the FOMC sentiment index which is one of the best predictors of this probability.
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Keywords: Monetary policy, public information, probability of a recession, price discovery.

DOI: https://doi.org/10.17016/FEDS.2021.074

Abstract:

We explore the long-run relationship between income risk, inequality, and the macroeconomy in an overlapping-generations model in which households face uncertain streams of labor income and returns on their savings. To manage those risks, households can apportion their savings to a bond, whose return is safe and identical across households, and a productive asset, whose return is uncertain and can differ persistently across households. We find that greater polarization in households’ labor income and returns on their savings generally accentuates households’ demand for risk-free assets and the compensation they require for bearing risk, leading to higher measured income and wealth inequality, a lower risk-free real interest rate, and higher risk premiums. These findings suggest that the factors behind the observed rise in inequality over the past few decades might have contributed to the observed fall in the risk-free real interest rate and widening gap between the risk-free real interest rate and the rate of return on capital. We also find that the magnitude of the decline in the risk-free real interest rate and offsetting rise in risk premiums depend importantly on the source of income polarization, with the effects being especially large when greater inequality is caused by increased dispersion in returns on risky assets. Thus, the macroeconomic implications not only depend on the amount of inequality, but also the source of this inequality.
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Keywords: income and wealth inequality, heterogeneous returns, risk-free real interest rate, risk premium.

DOI: https://doi.org/10.17016/FEDS.2021.073

Abstract:

In this paper, we examine if there are gender differences in total bankcard limits by utilizing a data set that links mortgage applicant information with individual-level credit bureau data from 2006 to 2016. We document that after controlling for credit score, income, and demographic characteristics, male borrowers on average have higher total bankcard limits than female borrowers. Using a standard Kitagawa-Oaxaca-Blinder decomposition, we find that 87 percent of the gap is explained by differences in the effect of observed characteristics between male and female borrowers, while approximately 10 percent of the difference can be explained by differences in the levels of observed characteristics. Using a quantile decomposition strategy to analyze the gender gap along the entire bankcard credit limit distribution, we show that gender differences in bankcard limits favor female borrowers at smaller limits and favor male borrowers at larger limits. The primary factors that drive this gap have changed over time and vary across the distribution of credit limits.

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Keywords: gender, credit, credit cards, decomposition

DOI: https://doi.org/10.17016/FEDS.2021.072

Abstract:

Many important economic decisions are based on a parametric forecasting model that is known to be good but imperfect. We propose methods to improve out-of-sample forecasts from a mis-specified model by estimating its parameters using a form of local M estimation (thereby nesting local OLS and local MLE), drawing on information from a state variable that is correlated with the misspecification of the model. We theoretically consider the forecast environments in which our approach is likely to offer improvements over standard methods, and we find significant fore- cast improvements from applying the proposed method across distinct empirical analyses including volatility forecasting, risk management, and yield curve forecasting.
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DOI: https://doi.org/10.17016/FEDS.2021.071

Abstract:

We analyze the universe of payments settled through the Fedwire Funds Service--the primary U.S. real-time gross settlement service operated by the Federal Reserve--for the period January 2004 to December 2020. We report on trends in payments volume, payments value, balances, and overdrafts, in addition to documenting changes in the behavior of financial institutions transacting via the Fedwire Funds Service.
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DOI: https://doi.org/10.17016/FEDS.2021.070

Abstract:

This paper decomposes consumer price inflation into pure inflation, relative price inflation, and idiosyncratic inflation by estimating a dynamic factor model á la Reis and Watson (2010) on a data set of 146 monthly disaggregated prices from 1995 to 2019. We find that pure inflation is the trend around which PCE price inflation fluctuates, while relative price inflation and idiosyncratic inflation drive the fluctuation of PCE price inflation around the trend. Unlike Reis and Watson, we find that labor market slack is the main driver of pure inflation and that energy prices account for variation in relative price inflation.

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Keywords: Pure inflation, relative price inflation, Phillips correlation, dynamic factor model, disaggregated consumer prices, monetary policy

DOI: https://doi.org/10.17016/FEDS.2021.069

Abstract:

We propose a simple test of the main identification assumption in models where the treatment variable takes multiple values and has bunching. The test consists of adding an indicator of the bunching point to the estimation model and testing whether the coefficient of this indicator is zero. Although similar in spirit to the test in Caetano (2015), the dummy test has important practical advantages: it is more powerful at detecting endogeneity, and it also detects violations of the functional form assumption. The test does not require exclusion restrictions and can be implemented in many approaches popular in empirical research, including linear, two-way fixed effects, and discrete choice models. We apply the test to the estimation of the effect of a mother’s working hours on her child’s skills in a panel data context (James-Burdumy 2005).

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DOI: https://doi.org/10.17016/FEDS.2021.068

Abstract:

While the descriptive impacts of the pandemic on women have been well documented in the aggregate, we know much less about the impacts of the pandemic on different groups of women. After controlling for detailed job and demographic characteristics, including occupation and industry, we find that the pandemic led to significant excess labor force exits among women living with children under age six relative to women without children. We also find evidence of larger increases in exits among lower-earning women. The presence of children predicted larger increases in exits during the pandemic among Latina and Black women relative to White women. Overall, we find evidence that pandemic induced disruptions to childcare, including informal care from family and friends. Our results suggest that the unique effect of childcare disruptions during the pandemic exacerbated pre-existing racial and income inequalities among women.

Keywords: Women, Labor Force Participation, Race, Ethnicity, Labor Supply, COVID-19

DOI: https://doi.org/10.17016/FEDS.2021.067r1

Abstract:

We evaluate high-frequency bill of lading data for its suitability in international trade research. These data offer many advantages over both other publicly accessible official trade data and confidential datasets, but they also have clear drawbacks. We provide a comprehensive overview for potential researchers to understand these strengths and weaknesses as these data become more widely available. Drawing on the strengths of the data, we analyze three aspects of trade during the COVID- 19 pandemic. First, we show how the high-frequency data capture features of the within-month collapse of trade between the United States and India that are not observable in official monthly data. Second, we demonstrate how U.S. buyers shifted their purchases across suppliers over time during the recovery. And third, we show how the data can be used to measure vessel delivery bottlenecks in near real time.

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DOI: https://doi.org/10.17016/FEDS.2021.066

Abstract:

Using granular data on home builder housing developments from the 2006-09 housing crisis, I show that builders spread house price shocks across geographically distinct projects via their internal capital markets. Builders who experience losses in one area subsequently sell homes in unaffected areas at a discount to raise cash quickly. Financially constrained firms are more likely to cut prices of homes in healthy areas in response to losses in unhealthy ones. Firms also smooth shocks across projects only during the crisis and not during the boom. These results together suggest firm internal capital markets spread negative economic shocks across space.

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DOI: https://doi.org/10.17016/FEDS.2021.065

Abstract:

We propose a shadow policy interest rate based on an estimated structural model that accounts for the zero lower bound. The lower bound constraint, if expected to bind, is contractionary and increases the shadow rate compared to an unconstrained systematic policy response. By contrast, forward guidance and other unconventional policies that extend the expected duration of zero-interest-rate policy are expansionary and decrease the shadow rate. By quantifying these distinct effects, our structural shadow federal funds rate better captures the stance of monetary policy given economic conditions than a shadow rate based only on the term structure of interest rates.

DOI: https://doi.org/10.17016/FEDS.2021.064

Abstract:

We analyze an environment where the uncertainty in the equity market return and its volatility are both stochastic and may be potentially disconnected. We solve a representative investor's optimal asset allocation and derive the resulting conditional equity premium and risk-free rate in equilibrium. Our empirical analysis shows that the equity premium appears to be earned for facing uncertainty, especially high uncertainty that is disconnected from lower volatility, rather than for facing volatility as traditionally assumed. Incorporating the possibility of a disconnect between volatility and uncertainty significantly improves portfolio performance, over and above the performance obtained by conditioning on volatility only.

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DOI: https://doi.org/10.17016/FEDS.2021.063

Abstract:

Economists and economic policymakers believe that households' and firms' expectations of future inflation are a key determinant of actual inflation. A review of the relevant theoretical and empirical literature suggests that this belief rests on extremely shaky foundations, and a case is made that adhering to it uncritically could easily lead to serious policy errors.

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DOI: https://doi.org/10.17016/FEDS.2021.062

Abstract:

Modern central bankers confront a challenge of providing economic stimulus even when the policy rate is constrained by a lower bound. This challenge has led to substantial innovation by policymakers and a proliferation of new policy tools. In this paper, I offer evidence on the efficacy of a new tool known as funding for lending, which provides banks with subsidized funding to make additional loans. I focus on a historical episode from the United States in which the Federal Reserve provided banks with steeply subsidized loans to promote the expansion of credit within their local communities. I show that the cheap funding succeeded in generating more lending by countering banks' excessive liquidity preference. The additional credit benefited the real economy. Local areas enjoyed higher rates of small business formation and more rapid employment growth. Finally, I show that the cost of the subsidy provided by the government was more than offset by the additional payroll taxes paid out of higher wages and salaries. These results suggest that funding for lending programs deserve consideration for the modern central banker's toolkit and demonstrate that certain unconventional tools can offer monetary policymakers the means to pursue more targeted objectives.

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Keywords: monetary policy, funding for lending, bank lending, countercyclical policy, discount window

DOI: https://doi.org/10.17016/FEDS.2021.061

Abstract:

We study the capacity of the banking system to provide liquidity to the corporate sector in times of stress and how changes in this capacity affect corporate liquidity management. We show that the contractual arrangements among banks in loan syndicates co-insure liquidity risks of credit line drawdowns and generate a network of interbank exposures. We develop a simple model and simulate the liquidity and insurance capacity of the banking network. We find that the liquidity capacity of large banks has significantly increased following the introduction of liquidity regulation, and that the liquidity co-insurance function in loan syndicates is economically important. We also find that borrowers with higher reliance on credit lines in their liquidity management have become more likely to obtain credit lines from syndicates with higher liquidity. The assortative matching on liquidity characteristics has strengthened the role of banks as liquidity providers to the corporate sector.

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Keywords: Liquidity Insurance, Liquidity Regulation, Interbank networks, Syndicated Credit Lines

DOI: https://doi.org/10.17016/FEDS.2021.060

Abstract:

In this paper we identify demand shocks that can have a permanent effect on output through hysteresis effects. We call these shocks permanent demand shocks. They are found to be quantitatively important in the United States, in particular when the Great Recession is included in the sample. Recessions driven by permanent demand shocks lead to a permanent decline in employment and investment, while output per worker is largely unaffected. We find strong evidence that hysteresis transmits through a rise in long-term unemployment and a decline in labor force participation and disproportionately affects the least productive workers.

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DOI: https://doi.org/10.17016/FEDS.2021.059

Abstract:

Does going public affect the amount and type of corporate tax planning? Using a panel of U.S. corporate tax return data from 1994 to 2018, we show that IPO completion is associated with the implementation of multinational income shifting strategies central to the current international tax policy debate. Specifically, firms (i) expand their foreign tax haven presence, (ii) enter into cross-border agreements that accompany intangible asset transfers to foreign subsidiaries, and (iii) increase their level of foreign related-party payments around the time that they go public. The effects are strongest among firms that switch to more sophisticated tax advisors in the years preceding the IPO. In contrast, we observe little domestic tax planning because large stock option deductions, which increase as a consequence of the IPO, provide large domestic tax shields. The paper contributes to the nascent literature studying IPOs by documenting the types and timing of specific tax strategies that enable public firms to remain lightly taxed in the post-IPO period. Furthermore, the findings imply that U.S. tax policies targeted at early-stage innovative firms are critical for retaining domestically developed IP – and the income earned on such assets – for the U.S. tax base.

DOI: https://doi.org/10.17016/FEDS.2021.058r1

Abstract:

Treating nominal government bonds like other bonds leads to a new theory of sudden inflations and currency crises. Holmstrom (2015) and Gorton (2017) describe bonds as having costly-to-investigate opaque backing that consumers believe is sufficient for repayment. Government bonds' nominal return is their face value, their real return is determined by the government's surplus. In normal times, consumers are confident of repayment but ignorant of the true surpluses that will fund that repayment. When consumers' belief in real repayment wavers, they investigate surpluses. If consumers learn surpluses will be insufficient to repay bonds in real terms, the price level jumps. This explains why we observe inflationary crises, but never deflationary.

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Keywords: Currency Crises, Price Level Determination, Monetary Fiscal Interaction, Fiscal Theory of the Price Level

DOI: https://doi.org/10.17016/FEDS.2021.057

Abstract:

Shortly after the onset of the pandemic, U.S. banks cut their term lending to businesses–but little is known about how much, and why, banks' choice to ration credit contributed to this contraction. Afforded by a unique combination of several highly granular bank regulatory datasets, we identify the role of banks' exposure to Covid-related restrictions abroad – a balance sheet "shock" that affects only banks' credit supply, but not their US borrowers' demand for loans. We find that US banks with higher foreign Covid exposure cut their lending to US firms, and tightened terms on such loans, significantly more. Banks having become less risk tolerant, as well as foreign borrowers defaulting and drawing down on their cross-border credit lines, were potent mechanisms through which foreign Covid exposure reduced banks' domestic lending.
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Keywords: Cross-border exposure, bank lending, bank capital, bank balance sheet liquidity

DOI: https://doi.org/10.17016/FEDS.2021.056r1

Abstract:

I document eight novel facts about wage changes and provide a theoretical framework to rationalize them. I then illustrate how this new treatment of data and theoretical framework speak to important secular and cyclical features of the macroeconomy. The evidence put forth in this paper, suggests that a theory of wage setting in which wages respond to idiosyncratic competition is an important complement to the more conventional macroeconomic view in which wage rigidity is induced by deliberately divorcing the timing of wage changes from innovations in firms' and workers' opportunities.
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Keywords: Labor Contracts, Wage Changes, Job Ladder

DOI: https://doi.org/10.17016/FEDS.2021.055r1

Abstract:

How will climate change affect risks to economic activity? Research on climate impacts has tended to focus on effects on the average level of economic growth. I examine whether climate change may make severe contractions in economic activity more likely using quantile regressions linking growth to temperature. The effects of temperature on downside risks to economic growth are large and robust across specifications. These results suggest the growth at risk from climate change is large—climate change may make economic contractions more likely and severe and thereby significantly impact economic and financial stability and welfare.

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DOI: https://doi.org/10.17016/FEDS.2021.054

Abstract:

We use the Survey of Consumer Finances (SCF) to advance U.S. wealth analysis along several dimensions. We develop a comprehensive framework that modifies the SCF to recover the wealth distribution over families, tax units, and individuals from 1989 to 2019. We show that, by ignoring unequal holdings within families, existing estimates considerably understate U.S. inequality across individuals. We find wealth concentration rose through the recent economic recovery, which differs from leading models that capitalize income into wealth even after aligning conceptual differences. We illustrate that private businesses are a growing impediment to accurately modeling wealth from income.

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DOI: https://doi.org/10.17016/FEDS.2021.053

Abstract:

This paper documents the magnitude and distribution of U.S. earnings changes during the COVID-19 pandemic and how fiscal relief offset lost earnings. We build panels from administrative tax data to measure annual earnings changes. The frequency of earnings declines during the pandemic were similar to the Great Recession, but the distribution was very different. In 2020, workers starting in the bottom half of the distribution were more likely to experience large annual earnings declines and a similar share of male and female workers had large earnings declines. While most workers experiencing large annual earnings declines do not receive unemployment insurance, over half of beneficiaries were made whole in 2020, as unemployment insurance replaced a median of 103 percent of their annual earnings declines. After incorporating unemployment insurance, the likelihood of large earnings declines among low-earning workers was not only smaller than during the Great Recession, but also smaller than in 2019.

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DOI: https://doi.org/10.17016/FEDS.2021.052

Abstract:

This paper provides a brief history of the U.S. financial regulatory perimeter, a legal cordon comprised of "positive" and "negative" restrictions on the conduct of banking organizations. Today's regulatory perimeter faces a wide range of challenges, from disaggregation, to new commercial entrants, to new varieties of charters (and new uses of legacy charters). We situate these challenges in the longer history of American banking, identifying a pattern in debates about the nature, shape, and position of the perimeter: outside-in pressure, inside-out pressure, and reform and expansion. We also observe a shift in this pattern, beginning roughly three decades ago, which gradually made the perimeter broader, more complex, and arguably more permeable. We show this trend graphically in an animation accompanying this paper.

Animation slides (PDF)

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DOI: https://doi.org/10.17016/FEDS.2021.051

Abstract:

This paper provides novel evidence that increased student loan debts, caused by rising tuitions, increase borrowers' demand for additional consumer debt, while simultaneously restricting their ability to access it. The net effect of student loan debt on consumer borrowing varies by market, depending on whether the supply or demand channel dominates. In loosely underwritten credit markets, increased student loan debt causes borrowing to increase, while in tightly underwritten markets, increased student loan debt reduces the use of credit. These findings match predictions of a standard lifecycle model of household consumption and borrowing, augmented with a realistic student loan repayment contract.

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DOI: https://doi.org/10.17016/FEDS.2021.050

Abstract:

This paper finds that the disclosure of supervisory actions is associated with changes in regulators' enforcement behavior. Using a novel sample of enforcement decisions and orders (EDOs) and the setting of the 1989 Financial Institutions Reform, Recovery, and Enforcement Act (FIRREA), which required the public disclosure of EDOs, we find that U.S. bank regulators issue more EDOs, intervene sooner, and rely more on publicly observable signals after the disclosure regime change. The content of EDOs also changes, with documents becoming more complex and boilerplate. Our results are stronger in counties with higher news circulation, indicating that disclosure plays an incremental role in regulators' changing behavior. We evaluate the main potentially confounding changes around FIRREA, including the S&L crisis and competition from thrifts, and find robust results. We also study changes in bank outcomes following the regime change and find that uninsured deposits decline at EDO banks, especially for banks with EDOs covered in the news. Finally, we observe that bank failure accelerates despite improvements in capital ratios and asset quality.

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DOI: https://doi.org/10.17016/FEDS.2021.049

Abstract:

We study the evolution of USmortgage credit supply during the COVID-19 pandemic. Although the mortgage market experienced a historic boom in 2020, we show there was also a large and sustained increase in intermediation markups that limited the pass-through of lowrates to borrowers. Markups typically rise during periods of peak demand, but this historical relationship explains only part of the large increase during the pandemic. We present evidence that pandemic-related labor market frictions and operational bottlenecks contributed to unusually inelastic credit supply, and that technology-based lenders, likely less constrained by these frictions, gained market share. Rising forbearance and default risk did not significantly affect rates on “plainvanilla” conforming mortgages, but it did lead to higher spreads on mortgages without government guarantees and loans to the riskiest borrowers. Mortgage-backed securities purchases by the Federal Reserve also supported the flow of credit in the conforming segment.

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Keywords: mortgage, credit, financial intermediation, fintech, COVID-19. 

DOI: https://doi.org/10.17016/FEDS.2021.048

Abstract:

How cyclical is the U.S. labor force participation rate (LFPR)? We examine its response to exogenous state-level business cycle shocks, finding that the LFPR is highly cyclical, but with a significantly longer-lived response than the unemployment rate. The LFPR declines after a negative shock for about four years—well beyond when the unemployment rate has begun to recover—and takes about eight years to fully recover after the shock. The decline and recovery of the LFPR is largely driven by individuals with home and family responsibilities, as well as by younger individuals spending time in school. Our main specifications measure cyclicality from the response of the age-adjusted LFPR, and we show that it is problematic to use the unadjusted LFPR when estimating cyclicality because local shocks spur changes in the population of high-LFPR age groups through migration. LFPR cyclicality varies across groups, with larger and longer-lived responses among men, younger workers, less-educated workers, and Black workers.

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Keywords: labor force participation, labor supply, labor force composition, labor force demographics, full employment, Okun’s law, geographic mobility, labor mobility, regional migration

DOI: https://doi.org/10.17016/FEDS.2021.047

Abstract:

We estimate a Bayesian three-dimensional dynamic factor model on the individual forecasts in the Survey of Professional Forecasters. The factors extract the most important dimensions along which disagreement comoves across variables. We interpret our results through a general semi-structural dispersed information model. The two most important factors in the data describe disagreement about aggregate supply and demand, respectively. Up until the Great Moderation, supply disagreement was dominant, while in recent decades and particularly during the Great Recession, demand disagreement was most important. By contrast, disagreement about monetary policy shocks seems to play a minor role in the data. Our findings can serve to discipline structural models of heterogeneous expectations. Keywords: Disagreement, Forecast Dispersion, Heterogeneous Expectations, Noisy Information, Dynamic Factor Model.

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DOI: https://doi.org/10.17016/FEDS.2021.046

Abstract:

Arkansas has been a popular place to study the effects of rate ceilings because of its exceptionally low interest rate ceiling. This paper examines the effects of the Arkansas rate ceiling on credit use by nonprime consumers in Arkansas, who are especially vulnerable to credit rationing because of the low ceiling. We compare the level and composition of consumer debt of nonprime consumers in Arkansas with that of prime Arkansas consumers and also nonprime consumers in the neighboring states. We find that nonprime consumers in Arkansas are less likely to have consumer debt and, conditional on having debt, have slightly lower levels of consumer debt than prime Arkansas consumers and nonprime consumers in neighboring states. Types of credit used by nonprime consumers in Arkansas tend to differ from those of the comparison groups. Notable is much lower use of consumer finance loans, traditionally an important source of credit for higher risk consumers. This finding suggests rate-based rationing of risky consumers. Also notable is lower use of bank credit despite federal preemption of the rate ceiling for banks. This result is consistent with banks’ traditional avoidance of risky lending.

Keywords: Consumer Credit, Access to Credit, Interest Rate Cap, Financial Regulation.

DOI: https://doi.org/10.17016/FEDS.2021.045r1

Abstract:

We show that the supply of life annuities in the U.S. is constrained by interest rate risk. We identify this effect using annuity prices offered by U.S. life insurers from 1989 to 2019 and exogenous variations in contract-level regulatory capital requirements. The cost of interest rate risk management accounts for at least half of the average life annuity markups or eight percentage points. The contribution of interest rate risk to annuity markups sharply increased after the great financial crisis, suggesting new retirees' opportunities to transfer their longevity risk are unlikely to improve in a persistently low interest rate environment.

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Keywords: life insurance; annuities; corporate bond market; retirement; interest rate risk

DOI: https://doi.org/10.17016/FEDS.2021.044

Abstract:

Did banks curb lending to creditworthy small and mid-sized enterprises (SME) during the COVID-19 pandemic? Sitting on top of minimum capital requirements, regulatory capital buffers introduced after the 2008 global financial crisis (GFC) are costly regions of "rainy day" equity capital designed to absorb losses and provide lending capacity in a downturn. Using a novel set of confidential loan level data that includes private SME firms, we show that "buffer-constrained" banks (those entering the pandemic with capital ratios close to this regulatory buffer region) reduced loan commitments to SME firms by an average of 1.4 percent more (quarterly) and were 4 percent more likely to end pre-existing lending relationships during the pandemic as compared to "buffer-unconstrained" banks (those entering the pandemic with capital ratios far from the regulatory capital buffer region). We further find heterogenous effects across firms, as buffer-constrained banks disproportionately curtailed credit to three types of borrowers: (1) private, bank-dependent SME firms, (2) firms whose lending relationships were relatively young, and (3) firms whose pre-pandemic credit lines contractually matured at the start of the pandemic (and thus were up for renegotiation). While the post-2008 period saw the rise of banking system capital to historically high levels, these capital buffers went effectively unused during the pandemic. To the best of our knowledge, our study is the first to: (1) empirically test the usability of these Basel III regulatory buffers in a downturn, and (2) contribute a bank capital-based transmission channel to the literature studying how the pandemic transmitted shocks to SME firms.

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DOI: https://doi.org/10.17016/FEDS.2021.043

Abstract:

We propose an efficient procedure to solve for policy counterfactuals in linear models with occasionally binding constraints in sequence space. Forecasts of the variables relevant for the policy problem, and their impulse responses to anticipated policy shocks, constitute sufficient information to construct valid counterfactuals. Knowledge of the structural model equations or filtering of structural shocks is not required. We solve for deterministic and stochastic paths under instrument rules as well as under optimal policy with commitment or subgame-perfect discretion. As an application, we compute counterfactuals of the U.S. economy after the pandemic shock of 2020 under several monetary policy regimes.

Keywords: Sequence Space; DSGE; Occasionally Binding Constraints; Optimal Policy; Commitment; Discretion

DOI: https://doi.org/10.17016/FEDS.2021.042r1

Abstract:

A large-scale microcredit expansion program—together with a credit bureau accessible to all lenders—can enable unbanked borrowers to build a credit history, facilitating their transition to commercial banks. Loan-level data from Rwanda show the program improved access to credit and reduced poverty. A sizable share of first-time borrowers switched to commercial banks, which cream-skim less risky borrowers and grant them larger, cheaper, and longer-maturity loans. Switchers have lower default risk than non-switchers and are not riskier than other bank borrowers. Switchers also obtain better loan terms from banks compared with first-time bank borrowers without a credit history.

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DOI: https://doi.org/10.17016/FEDS.2021.041

Abstract:

We argue that long-run inflation has nonlinear and state-dependent effects on unemployment, output, and welfare. Using panel data from the OECD, we document three correlations. First, there is a positive long-run relationship between anticipated inflation and unemployment. Second, there is also a positive correlation between anticipated inflation and unemployment volatility. Third, the long-run inflation-unemployment relationship is not only positive, but also stronger when unemployment is higher. We show that these correlations arise in a standard monetary search model with two shocks – productivity and monetary – and frictions in labor and goods markets. Inflation lowers the surplus from a worker-firm match, in turn making it sensitive to productivity shocks or to further increases in inflation. We calibrate the model to match the U.S. postwar labor market and monetary data, and show that it is consistent with observed cross-country correlations. The model implies that the welfare cost of inflation is nonlinear in the level of inflation and is amplified by the presence of aggregate shocks.

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Keywords: money; search; inflation; unemployment; unemployment volatility; fundamental surplus; product-labor market interaction.

DOI: https://doi.org/10.17016/FEDS.2021.040

Abstract:

Using administrative data from Y-14M and Equifax, we find evidence for large spreads in excess of those implied by default risk in the U.S. unsecured credit market. These borrowing premia vary widely by borrower risk and imply a nearly flat relationship between loan prices and repayment probabilities, at odds with existing theories. To close this gap, we incorporate supply frictions – a tractably specified form of lending standards – into a model of unsecured credit with aggregate shocks. Our model matches the empirical incidence of both risk and borrowing premia. Both the level and incidence of borrowing premia shape individual and aggregate outcomes. Our baseline model with empirically consistent borrowing premia features 45% less total credit balances and 30% more default than a model with no such premia. In terms of dynamics, we estimate that lending standards were unchanged for low risk borrowers but tightened for high risk borrowers at the outset of Covid-19. Borrowing premia imply a smaller increase in credit usage in response to a negative shock, which this tightening reduced further. Since spreads on loans of all risk levels are countercyclical, all consumers use less unsecured credit for insurance over the cycle, leading to 60% higher relative consumption volatility than in a model with no borrowing premia.

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Keywords: Bankruptcy, borrowing premia, consumer credit, business cycles.

DOI: https://doi.org/10.17016/FEDS.2021.039

Abstract:

Hedge fund gross U.S. Treasury (UST) exposures doubled from 2018 to February 2020 to $2.4 trillion, primarily driven by relative value arbitrage trading and supported by corresponding increases in repo borrowing. In March 2020, amid unprecedented UST market turmoil, the average UST trading hedge fund had a return of -7% and reduced its UST exposure by close to 20%, despite relatively unchanged bilateral repo volumes and haircuts. Analyzing hedge fund-creditor borrowing data, we find the large, more regulated dealers provided disproportionately more funding during the crisis than other creditors. Overall, the step back in hedge fund UST activity was primarily driven by fund-specific liquidity management rather than dealer regulatory constraints. Hedge funds exited the turmoil with 20% higher cash holdings and smaller, more liquid portfolios, despite low contemporaneous outflows. This precautionary flight to cash was more pronounced among funds exposed to greater redemption risk through shorter share restrictions. Hedge funds predominantly trading the cash-futures basis faced greater margin pressure and reduced UST exposures and repo borrowing the most. After the market turmoil subsided following Fed intervention, hedge fund returns recovered quickly, but UST exposures did not revert to pre-shock levels over the subsequent months.

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Keywords: Hedge funds, Treasury markets, relative value, arbitrage, liquidity, redemption risk, creditor constraints.

DOI: https://doi.org/10.17016/FEDS.2021.038

Abstract:

We provide data and code that successfully reproduces nearly all crosssectional stock return predictors. Our 319 characteristics draw from previous meta-studies, but we differ by comparing our t-stats to the original papers' results. For the 161 characteristics that were clearly significant in the original papers, 98% of our long-short portfolios find t-stats above 1.96. For the 44 characteristics that had mixed evidence, our reproductions find t-stats of 2 on average. A regression of reproduced t-stats on original longshort t-stats finds a slope of 0.90 and an R2 of 83%. Mean returns aremonotonic in predictive signals at the characteristic level. The remaining 114 characteristics were insignificant in the original papers or are modifications of the originals created byHou, Xue, and Zhang (2020). These remaining characteristics are almost always significant if the original characteristic was also significant.

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Monthly long-short returns for 205 predictors (CSV) | Detailed description and implementations for 205 predictors (XLSX) | Data dictionary (PDF)

DOI: https://doi.org/10.17016/FEDS.2021.037

Abstract:

This study uncovers the existence of a trillion-dollar internal capital market that played a central role in the financing of dealer banks during the 2008 Global Financial Crisis. Hand-collecting a novel set of dealer microdata at the subsidiary level, I present the first set of facts on the evolution of interaffiliate loans between U.S. primary dealers and their (primarily foreign) siblings. First, the aggregate size of these dealer internal capital markets quadrupled from $335 billion in 2001 to $1.2 trillion by 2007. Second, 25 percent of total repurchase agreements and 61 percent of total securities lending reported on U.S. primary dealer balance sheets were sourced internally from sibling dealers by year-end 2007. Third, internal securities lending collapsed by 55 percent during the 2008 crisis. These facts suggest that incorporating internal capital market dynamics may be fruitful for future research on dealer behavior and market liquidity.

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Keywords: Global financial institutions, Broker-dealers, Internal capital markets, Shadow banking, Securities Lending

DOI: https://doi.org/10.17016/FEDS.2021.036

Abstract:

The COVID-19 pandemic and the mitigation efforts put in place to contain it delivered the most severe blow to the U.S. economy since the Great Depression. In this paper, we argue that the Federal Reserve acted decisively and with dispatch to deploy all the tools in its conventional kit and to design, develop, and launch within weeks a series of innovative facilities to support the flow of credit to households and businesses. These measures, taken together, provided crucial support to the economy in 2020 and are continuing to contribute to what is expected to be a robust economic recovery in 2021.

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Keywords: monetary policy, forward guidance, asset purchases, section 13(3) facilities

DOI: https://doi.org/10.17016/FEDS.2021.035

Abstract:

We propose a new method of estimating the natural real rate and long-horizon inflation expectations, using nonlinear regressions of survey-based measures of short-term nominal interest rates and inflation expectations on U.S. Treasury yields. We find that the natural real rate was relatively stable during the 1990s and early 2000s, but declined steadily after the global financial crisis, before dropping more sharply to around 0 percent during the recent COVID-19 pandemic. Long-horizon inflation expectations declined steadily during the 1990s and have since been relatively stable at close to 2 percent. According to our method, the declines in both the natural real rate and long-horizon inflation expectations are clearly statistically significant. Our estimates are available at whatever frequency we observe bond yields, making them ideal for intraday event-study analysis--for example, we show that the natural real rate and long-horizon inflation expectations are not affected by temporary shocks to the stance of monetary policy.

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Keywords: Natural real rate, nonlinear regression, term structure model

DOI: https://doi.org/10.17016/FEDS.2021.034

Abstract:

Forward guidance—the issuance by a central bank of public statements concerning the likely future settings of its policy instruments—is widely regarded as a new tool of monetary policy. The analysis in this paper shows that Federal Reserve policymakers from the 1950s onward actually accepted the premises of forward guidance: the notion that longer-term interest rates are key yields in aggregate spending decisions; and the proposition that indications of intentions regarding future short-term interest rate policy can affect longer-term rates. Over the same period, they were nevertheless wary about providing forward guidance regarding short-term interest rates, fearing that this could generate untoward market reactions or lock the Federal Open Market Committee into inappropriate rate settings. They concentrated on describing future policy in terms of achievement of economic objectives, with their commentary on interest-rate prospects usually confined to consideration of the longer-term factors affecting rates. Even in these years, however, there were infrequent occasions—notably in 1974 and 1982—when policymakers provided more explicit guidance regarding the path of short-term rates. In the 1990s, a consensus developed in U.S. policy circles that was more receptive toward the notion of guiding longer-term interest rates by providing indications of future FOMC actions. This consensus developed even before concerns about the lower bound on short-term rates became prevalent in U.S. policymaking. The new mindset, which stressed the stabilizing effects on the economy of communication of policy intentions, set the stage for the emergence of forward guidance as a monetary policy tool.

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DOI: https://doi.org/10.17016/FEDS.2021.033

Abstract:

We show that the role of unsecured, short-term wholesale funding for global banks has changed significantly in the post-financial-crisis regulatory environment. Global banks mainly use such funding to finance liquid, near risk-free arbitrage positions—in particular, the interest on excess reserves arbitrage and the covered interest rate parity arbitrage. In this environment, we examine the response of global banks to a large negative wholesale funding shock as a result of the U.S. money market mutual fund reform implemented in 2016. In contrast to past episodes of wholesale funding dry-ups, we find that the primary response of global banks to the reform was a cutback in arbitrage positions that relied on unsecured funding, rather than a reduction in loan provision.

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DOI: https://doi.org/10.17016/FEDS.2021.032

Abstract:

We study optimal securitization and its impact on market quality when the secondary market structure leads to cheapest-to-deliver pricing in the context of agency mortgage-backed securities (MBS). A majority of MBS are traded in the to-be-announced (TBA) market, which concentrates trading of heterogeneous MBS into a few liquid TBA contracts but induces adverse selection. We find that lenders segregate loans of like values into separate pools and tend to trade low-value MBS in the TBA market and high-value MBS outside the TBA market. We then present a model of optimal securitization for agency MBS. Lenders do not internalize the negative impact of such pooling and trading strategies on TBA market quality and thus create too many high-value MBS, which leads to more heterogeneity in MBS values, more adverse selection, and lower TBA liquidity. Lastly, we provide empirical evidence consistent with model predictions on how MBS pooling changes with trading costs and underlying loan value dispersion and how pooling practices affect MBS heterogeneity and TBA market adverse selection.

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DOI: https://doi.org/10.17016/FEDS.2021.031

Abstract:

We analyze whether the Federal Reserve’s Paycheck Protection Program Liquidity Facility (PPPLF) was successful in bolstering the ability of commercial banks to provide credit to small businesses under the Small Business Administration’s Paycheck Protection Program (PPP). Using an instrumental variables approach, we find a causal effect of the facility boosting PPP lending. On average, commercial banks that used the PPPLF extended over twice as many PPP loans, relative to their total assets, as banks that did not use the PPPLF. Our instrument is a measure of banks’ familiarity with the operation of the Federal Reserve’s discount window; this measure is strongly related to both the propensity to sign up for and to utilize the PPPLF. Further, using a similar instrumental variables approach, we find evidence that the availability of the facility as a backstop source of funds may also have supported bank PPP lending, especially for larger banks.

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Keywords: COVID-19, PPP, PPPLF, Federal Reserve, central bank lending

DOI: https://doi.org/10.17016/FEDS.2021.030

Abstract:

This paper proposes a dynamic multi-factor copula for use in high dimensional time series applications. A novel feature of our model is that the assignment of individual variables to groups is estimated from the data, rather than being pre-assigned using SIC industry codes, market capitalization ranks, or other ad hoc methods. We adapt the k-means clustering algorithm for use in our application and show that it has excellent finite-sample properties. Applying the new model to returns on 110 US equities, we find around 20 clusters to be optimal. In out-of-sample forecasts, we find that a model with as few as five estimated clusters significantly outperforms an otherwise identical model with 21 clusters formed using two-digit SIC codes.

Keywords: correlation, tail risk, multivariate density forecast

DOI: https://doi.org/10.17016/FEDS.2021.029r1

Abstract:

We show that the segmented structure of the U.S. Treasury repo market, in which some participants have limited access across the segments, leads to rate dispersion, even in this essentially riskless market. Using confidential data on repo trading, we demonstrate how the rate dispersion between the centrally cleared and over-the-counter (OTC) segments of the Treasury repo market was exacerbated during the stress episode of September 2019. Our results highlight that, while segmentation can increase fragility in the repo market, the presence of strong trading relationships in the OTC segment helps mitigate it by reducing rate dispersion.

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Keywords: repo market, OTC market, CCP, segmentation, nancial stability

DOI: https://doi.org/10.17016/FEDS.2021.028

Abstract:

We use disaggregated U.S. data and a border discontinuity design to show that more generous unemployment insurance (UI) policies lower bank deposits. We test several channels that could explain this decline and find evidence consistent with households lowering their precautionary savings. Since deposits are the largest and most stable source of funding for banks, the decrease in deposits affects bank lending. Banks that raise deposits in states with generous UI policies squeeze their small business lending. Furthermore, counties that are served by these banks experience a higher unemployment rate and lower wage growth.

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DOI: https://doi.org/10.17016/FEDS.2021.027

Abstract:

This paper studies how the rise in US households' participation in equity markets affects the transmission of macroeconomic shocks to the economy. I embed limited participation into a New Keynesian framework for the US economy to analyze the individual and aggregate effects of higher participation. I derive three main results. First, participants are relatively more responsive to shocks than nonparticipants. Second, higher participation reduces the effectiveness of monetary policy. Third, with higher participation the economy becomes less volatile. I contrast key predictions of my model with new micro-level empirical evidence on the response of consumption to monetary policy shocks.

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Keywords: Limited Participation; Monetary Policy; Stock Market; Investment; Business Cycle

DOI: https://doi.org/10.17016/FEDS.2021.026

Abstract:

We estimate the causal effects of heroin use on labor market outcomes by proxying for heroin use with prior exposure to oxycodone, the largest of the prescription opioids with a well-documented history of abuse. After a nationwide tightening in the supply of oxycodone in 2010, states with greater prior exposure to oxycodone experienced much larger increases in heroin use and mortality. We find increases in heroin use led to declines in employment and labor force participation rates, particularly for white, young, and less educated groups, consistent with the profile of oxycodone misusers. The results show the importance of extending beyond prescriptions when accounting for the labor market effects of the opioid crisis.

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DOI: https://doi.org/10.17016/FEDS.2021.025

Abstract:

The widespread economic damage caused by the ongoing COVID-19 pandemic poses the first major test of the bank regulatory reforms put in place following the global financial crisis. This study assesses this framework, with an emphasis on capital and liquidity requirements. Leading up to the COVID-19 crisis, banks were well-capitalized and held ample liquid assets, reflecting in part heightened requirements. Capital requirements were comparable across major jurisdictions, despite differences in the implementation of the international Basel standards. The overall robust capital and liquidity levels resulted in a resilient banking system, which maintained lending through the early stages of the pandemic. Furthermore, trading activity was a source of strength for banks, reflecting in part a prudent regulatory approach. Areas for potential improvement include addressing the cyclicality of requirements.

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DOI: https://doi.org/10.17016/FEDS.2021.024

Abstract:

This paper explores how to recycle carbon tax revenue back to households to maximize welfare. Using a general equilibrium lifecycle model calibrated to reflect the heterogeneity in the U.S. economy, we find the optimal policy uses two thirds of carbon-tax revenue to reduce the distortionary tax on capital income while the remaining one third is used to increase the progressivity of the labor-income tax. The optimal policy attains higher welfare and more equality than the lump-sum rebate approach preferred by policymakers as well as the approach originally prescribed by economists--which called exclusively for reductions in distortionary taxes.

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Keywords: Carbon tax; overlapping generations; revenue recycling

DOI: https://doi.org/10.17016/FEDS.2021.023

Abstract:

We exploit detailed transaction and position data for a sample of long-short equity hedge funds to study the trading activity of fundamental investors. We find that hedge funds exhibit skill in opening positions, but that they close their positions too early, thereby forgoing about a third of the trades' potential profitability. We explain this behavior with the limits of arbitrage: hedge funds close positions early in order to reallocate their capital to more profitable investments and/or to accommodate tightened financial constraints. Consistent with this view, we document that hedge funds leave more money on the table after opening new positions, negative returns, or increases in funding constraints and volatility.

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Keywords: Hedge funds, Short selling, Profitability, Fundamental Trading

DOI: https://doi.org/10.17016/FEDS.2021.022

Abstract:

Women are underrepresented on bank boards. Using a newly compiled dataset of bank board membership over the 1999-2018 period, we find that within-board professional networks are extensive, but female board members are significantly less connected than male directors, both in number and length of connections. We also find that professional networks play an important role in determining the appointment of bank board directors. Connections also positively impact compensation for female directors, especially connections to other women. These results suggest that there are differences in the breadth, depth, and value of the professional networks of male and female board members and that these differences could be a contributing channel through which women’s underrepresentation on boards prevails.

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Original paper: PDF | Accessible materials (.zip)

Keywords: bank boards; professional networks; gender; gender diversity

DOI: https://doi.org/10.17016/FEDS.2021.021r1

Abstract:

This note explores the potential effects of the widespread adoption of a global stablecoin (GSC) on key aggregate financial sector balance sheets in the United States. To do this, we map out cash flows of GSC transactions among financial sector entities using a stylized set of 't-accounts'. By analyzing these individual transactions, we infer aggregate and compositional effects on U.S. commercial banking sector and Federal Reserve balance sheets. Through this lens, we also consider how these balance sheet changes could affect monetary policy implementation, the demand for central bank reserves, and the market for U.S. dollar safe assets.

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DOI: https://doi.org/10.17016/FEDS.2021.020

Abstract:

I document that less educated workers experience higher and more cyclically sensitive job separation rates. Meanwhile, workers with a bachelor's degree or more exhibit pro-cyclical wages while workers without a high school degree exhibit no statistically discernible cyclical pattern. Differences in the sensitivity are most stark when measurement of labor costs accounts for the value of the persistent effects of current macroeconomic conditions on future remitted wages. These findings suggest optimally differential implementation of self-enforcing implicit wage contracts in which educated workers and their employers leverage relative employment stability to smooth the effects of cyclical fluctuations over longer horizons. This margin of adjustment is less available to the less well educated, who have shorter expected employment durations. Furthermore, failure to account for the heterogeneities documented here leads to substantial underestimation of the welfare costs of business cycles.

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DOI: https://doi.org/10.17016/FEDS.2021.019

Abstract:

Uncertainty surrounding if and when the U.S. government will implement a federal climate policy introduces risk into the decision to invest in capital used in conjunction with fossil fuels. To quantify the macroeconomic impacts of this climate policy risk, we develop a dynamic, general equilibrium model that incorporates beliefs about future climate policy. We find that climate policy risk reduces carbon emissions by causing the capital stock to shrink and become relatively cleaner. Our results reveal, however, that a carbon tax could achieve the same reduction in emissions at less than half the cost.

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DOI: https://doi.org/10.17016/FEDS.2021.018

Abstract:

Network analysis has demonstrated that interconnectedness among market participants results in spillovers, amplifies or absorbs shocks, and creates other nonlinear effects that ultimately affect market health. In this paper, we propose a new directed network construct, the liquidity network, to capture the urgency to trade by connecting the initiating party in a trade to the passive party. Alongside the conventional trading network connecting sellers to buyers, we show both network types complement each other: Liquidity networks reveal valuable information, particularly when information asymmetry in the market is high, and provide a more comprehensive characterization of interconnectivity in the overnight-lending market.

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DOI: https://doi.org/10.17016/FEDS.2021.017

Abstract:

We study transaction-level data of bank borrowings at the Federal Reserve’s discount window from 2010 to 2019. We merge these data with quarterly information on bank balance sheets and income statements. To aid in the interpretation of our empirical analysis, we also develop a detailed model of the decision of banks to borrow from various sources, including the discount window. The objective is to contribute to a better understanding of the reasons why banks use the discount window during “normal” times—periods of relative calm in financial markets. Consistent with our model, we find that borrowing from the discount window is tightly linked to the composition of banks’ balance sheets. Most importantly, banks holding less reserves tend to borrow more often (and more) from the Fed’s discount window. Similarly, banks with more expensive and fragile liabilities, and less marketable collateral, are also more likely to borrow from the Fed.

Keywords: Banking, Federal Reserve, Central Bank, Liquidity

DOI: https://doi.org/10.17016/FEDS.2021.016r1

Abstract:

I analyze the implications of allowing consumers to make mistakes on the risk-return relationships predicted by consumption-based asset pricing models. I allow for consumption mistakes using a model in which a portfolio manager selects investments on a consumer's behalf. The consumer has an arbitrary consumption policy that could reflect a wide range of mistakes. For power utility, expected returns do not generally depend on exposure to single-period consumption shocks, but robustly depend on exposure to both long-run consumption and expected return shocks. I empirically show that separately accounting for both types of shocks helps explain the equity premium and cross section of stock returns.

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DOI: https://doi.org/10.17016/FEDS.2021.015

Abstract:

We perform a real-time forecasting exercise for US inflation, investigating whether and how additional information--additional macroeconomic variables, expert judgment, or forecast combination--can improve forecast accuracy and robustness. In our analysis we consider the pre-pandemic period including the Global Financial Crisis and the following expansion--the longest on record--featuring unemployment that fell to a rate not seen for nearly sixty years. Distinguishing features of our study include the use of published Federal Reserve Board staff forecasts contained in Tealbooks and a focus on forecasting performance before, during, and after the Global Financial Crisis, with relevance also for the current crisis and beyond. We find that while simple models remain hard to beat, the additional information that we consider can improve forecasts, especially in the post-crisis period. Our results show that (1) forecast combination approaches improve forecast accuracy over simpler models and robustify against bad forecasts, a particularly relevant feature in the current environment; (2) aggregating forecasts of inflation components can improve performance compared to forecasting the aggregate directly; (3) judgmental forecasts, which likely incorporate larger and more timely datasets, provide improved forecasts at short horizons.

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Keywords: Inflation, Survey forecasts, Forecast combination

DOI: https://doi.org/10.17016/FEDS.2021.014

Abstract:

We show that the effectiveness of redistribution policy is tied to how much inflation it generates, and thereby, to monetary-fiscal adjustments that ultimately finance the transfers. In the monetary regime, taxes increase to finance transfers while in the fiscal regime, inflation rises, imposing inflation taxes on public debt holders. We show analytically that the fiscal regime generates larger and more persistent inflation than the monetary regime. In a two-sector model, we quantify the effects of the CARES Act in a COVID recession. We find that transfer multipliers are larger, and that moreover, redistribution is Pareto improving, under the fiscal regime.

Keywords: Household heterogeneity, Redistribution, Monetary-fiscal policy mix, Transfer multiplier, Welfare evaluation, COVID-19, CARES Act

DOI: https://doi.org/10.17016/FEDS.2021.013r1

Abstract:

We exploit institutional features of the U.S. banking stress tests to disentangle different types of information garnered by market participants when the stress test results are released. By examining the reaction of different asset prices, we find evidence that market participants value the stress test announcements not only for the information on possible future capital distributions but also for the signals about bank resilience. These results back the use of stress tests by central banks to inform the broader public about the soundness of the banking system.

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DOI: https://doi.org/10.17016/FEDS.2021.012

Abstract:

Has information technology improved small businesses' access to credit by hardening the information used in loan underwriting and reducing the importance of proximity to lenders? Previous research, pointing to increasing average lending distances, suggests that it has. But this conclusion can obscure differences across loans and lenders. Using over 20 years of Community Reinvestment Act data on small business lending, we find that while average distances have increased substantially, distances at individual banks remain unchanged. Instead, average distance has increased because a small group of lenders specializing in high-volume, small-loan lending nationwide have increased their share of small business lending by 10 percentage points. Our findings imply that small businesses continue to depend on local banks.

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DOI: https://doi.org/10.17016/FEDS.2021.011

Abstract:

Does expansionary monetary policy drive up prices of risky assets? Or, do investors interpret monetary policy easing as a signal that economic fundamentals are weaker than they previously believed, prompting riskier asset prices to fall? We test these competing hypotheses within the U.S. corporate bond market and find evidence strongly in favor of the second explanation—known as the "Fed information effect". Following an unanticipated monetary policy tightening (easing), returns on corporate bonds with higher credit risk outperform (underperform). We conclude that monetary policy surprises are predominantly interpreted by market participants as signaling information about the state of the economy.

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DOI: https://doi.org/10.17016/FEDS.2021.010

Abstract:

Focusing on some key metrics of bank performance, such as revenues and loan charge-off rates, we estimate the fraction of the observed variation in these metrics that can be attributed to changes in economic conditions. Macroeconomic factors can explain the preponderance of the fluctuations in charge-off rates. By contrast, bank-specific, idiosyncratic factors account for a sizable share of the variation in bank revenues. These results point to importance of bank-specific business models as a driver of performance.

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DOI: https://doi.org/10.17016/FEDS.2021.009

Abstract:

We use credit card data from the Federal Reserve Board's FR Y-14M reports to study the impact of the COVID-19 shock on the use and availability of consumer credit across borrower types from March through August 2020. We document an initial sharp decrease in credit card transactions and outstanding balances in March and April. While spending starts to recover by May, especially for risky borrowers, balances remain depressed overall. We find a strong negative impact of local pandemic severity on credit use, which becomes smaller over time, consistent with pandemic fatigue. Restrictive public health interventions also negatively affect credit use, but the pandemic itself is the main driver. We further document a large reduction in credit card originations, especially to risky borrowers. Consistent with a tightening of credit supply and a flight-to-safety response of banks, we find an increase in interest rates of newly issued credit cards to less creditworthy borrowers.

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DOI: https://doi.org/10.17016/FEDS.2021.008

Abstract:

This paper estimates the impact of reducing export and import tariffs on firm input choices. In presence of borrowing constraints, lower export tariffs facilitate the reallocation of capital and labor inputs across firms, while a decline in import tariffs either tightens import competition or increases the availability of imported inputs; all three mechanisms suggest that a higher degree of openness should be associated with lower misallocation. To analyze the empirical relationship between openness and input misallocation, we draw on the annual surveys conducted by the Chinese National Bureau of Statistics (NBS) between 1998 and 2007. From the surveys, we con- struct firm-level measures of input misallocation that control for firm heterogeneity; we identify shocks to openness using industry tariff levels and firm trade shares. We find that firm facing higher tariffs in either import or export markets make less optimal input choices. We further decompose our analysis between input and output tariffs: our results suggest that the labor reallocation mainly occurs because of lower input tariffs, while the selection effect induced by changes in output tariffs does not necessarily cause more distorted firms to exit and, therefore, tends to have an insignificant effect on input allocation. Finally, we calculate the contribution of tariff changes towards aggregate misallocation and productivity: our results indicate that the impact of firm-level tariff reductions on aggregate misallocation and productivity was marginal in our sample period, but the presence of sizeable interactions between trade shocks and mis- allocation at the sector level suggests that our result should be interpreted as a lower bound of the overall effect.

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DOI: https://doi.org/10.17016/FEDS.2021.007

Abstract:

A continuous distribution of agents that face a piecewise-linear schedule of incentives results in a distribution of responses with mass points located where the slope (kink) or intercept (notch) of the schedule changes. Bunching methods use these mass points to estimate an elasticity parameter, which summarizes agents' responses to incentives. This article introduces the command bunching, which implements new non-parametric and semi-parametric identification methods for estimating elasticities developed by Bertanha et al. (2021). These methods rely on weaker assumptions than currently made in the literature and result in meaningfully different estimates of the elasticity in various contexts.

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DOI: https://doi.org/10.17016/FEDS.2021.006

Abstract:

Using American Recovery and Reinvestment Act (ARRA) data, we show that firms lever their political connections to win stimulus grants and that public expenditure channeled through politically connected firms hinders job creation. We build a unique database that links information on campaign contributions, state legislative elections, firm characteristics, and ARRA grant allocation. Using exogenous variation in political connections based on ex-post close elections held before ARRA, we causally show that politically connected firms are 38 percent more likely to secure a grant. Based on an instrumental variable approach, we also establish that a one standard deviation increase in the share of politically connected ARRA spending lowers the number of jobs created per $1 million spent by 7.1 jobs. Therefore, the impact of fiscal stimulus is not only determined by how much is spent, but also by how the expenditure is allocated across recipients.

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Original paper: PDF | Accessible materials (.zip)

Keywords: Campaign Finance, State Grants, Public Expenditure Allocation, American Recovery and Reinvestment Act

DOI: https://doi.org/10.17016/FEDS.2021.005r1

Abstract:

We use new annual data on gasoline taxes and corporate income taxes from U.S. states to analyze whether politicians avoid tax increases in election years. These data contain 3 useful attributes: (1) when state politicians enact tax laws, (2) when state politicians implement tax laws on consumers and firms, and (3) the size of tax changes. Using a pre-analysis research plan that includes regressions of tax rate changes and tax enactment years on time-to-gubernatorial election year indicators, we find that elections decrease the probability of politicians enacting increases in taxes and reduce the size of implemented tax changes relative to non-election years. We find some evidence that politicians are most likely to enact tax increases right after an election. These election effects are stronger for gasoline taxes than for corporate income taxes and depend on no other political, demographic, or macroeconomic conditions. Supplemental analysis supports political salience over legislative eort in generating this difference in electoral effects.
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DOI: https://doi.org/10.17016/FEDS.2021.004

Abstract:

Delay in the provision of Paycheck Protection Program (PPP) loans due to insufficient initial funding under the CARES Act substantially and persistently reduced employment. Delayed loans increased job losses in May and persistently reduced recalls throughout the summer. The magnitude and heterogeneity of effects suggest significant barriers to obtaining external financing, particularly among small firms. Effects are inequitably distributed: larger among the self-employed, less well paid, less well educated and--importantly for the design of future programs--in very small firms. Our estimates imply the PPP saved millions of jobs but larger initial funding could have saved millions more, particularly if it had been directed toward the smallest firms. About half of the jobs lost to insufficient PPP funding are lost in firms with fewer than 10 employees, despite such firms accounting for less than 20 percent of employment.
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Keywords: Paycheck Protection Program, CARES Act, Countercyclical Fiscal Policy, Covid-19, Kurzarbeit, Income Support, Small Business Lending, Small and Medium Enterprises (SMEs), Financial Frictions

DOI: https://doi.org/10.17016/FEDS.2021.003

Abstract:

We study the bunching identification strategy for an elasticity parameter that summarizes agents' response to changes in slope (kink) or intercept (notch) of a schedule of incentives. A notch identifies the elasticity but a kink does not, when the distribution of agents is fully flexible. We propose new non-parametric and semi-parametric identification assumptions on the distribution of agents that are weaker than assumptions currently made in the literature. We revisit the original empirical application of the bunching estimator and find that our weaker identification assumptions result in meaningfully different estimates. We provide the Stata package bunching to implement our procedures.
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Keywords: partial identification, censored regression, bunching, notching

DOI: https://doi.org/10.17016/FEDS.2021.002

Abstract:

This paper investigates spillovers from foreign economies to the U.S. through changes in longterm Treasury yields. We document a decline in the contribution of U.S. domestic news to the variance of long-term Treasury yields and an increased importance of overnight yield changes—a rough proxy for the contribution of foreign shocks to U.S. yields—over the past decades. Using a model that identifies U.S., Euro area, and U.K. shocks that move global yields, we estimate that foreign (non-U.S.) shocks account for at least 20 percent of the daily variation in long-term U.S. yields in recent years. We argue that spillovers occur in large part through bond term premia by showing that a low level of foreign yields relative to U.S. yields predicts a decline in distant forward U.S. yields and higher returns on a strategy that is long on a long-term Treasury security and short on a long-term foreign bond.
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Keywords: Bond risk premia, foreign spillovers, event study, identification by heteroskedasticity, predictability.

DOI: https://doi.org/10.17016/FEDS.2021.001