Photo of Matteo Luciani

Matteo Luciani

Education

  • Ph.D., Economics, University of Rome "La Sapienza", 2010
  • M.A., Economics, University of Southern California, 2005
  • B.A., Economics, University of Rome TRE, 2004
Current Research Topics
  • Non Stationary Dynamic Factor Models
  • Real Time Forecasting
  • Principal Economist

    Board of Governors of the Federal Reserve System

    2024 - present
  • Principal Economist

    Amazon.com

    2022 - 2024
  • Principal Economist

    Board of Governors of the Federal Reserve System

    2019 - 2021
  • Senior Economist

    Board of Governors of the Federal Reserve System

    2015 - 2019
  • Postdoctoral Researcher

    Université libre de Bruxelles

    2010 - 2015
  • Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm
    Matteo Barigozzi and Matteo Luciani
    Finance and Economics Discussion Series (2024)
    https://doi.org/10.17016/FEDS.2024.086
  • Common and Idiosyncratic Inflation
    Hie Joo Ahn and Matteo Luciani
    Finance and Economics Discussion Series (2024)
    https://doi.org/10.17016/FEDS.2020.024r1
  • Inferential theory for generalized dynamic factor models
    Matteo Barigozzi, Marc Hallin, Matteo Luciani, and Paolo Zaffaroni
    Journal of Econometrics (2024)
    https://doi.org/10.1016/j.jeconom.2023.02.003
  • Lessons from Nowcasting GDP across the World
    Danilo Cascaldi-Garcia, Matteo Luciani, and Michele Modugno
    International Finance Discussion Papers (2023)
    https://doi.org/10.17016/IFDP.2023.1385
  • Measuring the Output Gap using Large Datasets
    Matteo Barigozzi and Matteo Luciani
    Review of Economics and Statistics (2023)
    https://doi.org/10.1162/rest_a_01119
  • Relative prices and pure inflation since the mid-1990s
    Hie Joo Ahn and Matteo Luciani
    Finance and Economics Discussion Series (2021)
    https://doi.org/10.17016/FEDS.2021.069
  • Large-Dimensional Dynamic Factor Models: Estimation of Impulse-Response Functions with I(1) Cointegrated Factors
    Matteo Barigozzi, Marco Lippi, and Matteo Luciani
    Journal of Econometrics (2021)
    https://doi.org/10.1016/j.jeconom.2020.05.004
  • Quantifying the COVID-19 Effects on Core PCE Price Inflation
    Matteo Luciani
    FEDS Notes (2021)
    https://doi.org/10.17016/2380-7172.2875
  • Common and Idiosyncratic Inflation
    Matteo Luciani
    Finance and Economics Discussion Series (2020)
    https://doi.org/10.17016/FEDS.2020.024
  • Cointegration and Error Correction Mechanisms for Singular Stochastic Vectors
    Matteo Barigozzi, Marco Lippi, and Matteo Luciani
    Econometrics (2020)
    https://doi.org/10.3390/econometrics8010003
  • Oil Price Pass-Through into Core Inflation
    Cristina Conflitti and Matteo Luciani
    Energy Journal (2019)
    https://doi.org/10.5547/01956574.40.6.ccon
    See also » FRB Working Paper (2017)
  • Comparing Two Measures of Core Inflation: PCE Excluding Food & Energy vs. the Trimmed Mean PCE Index
    Matteo Luciani and Riccardo Trezzi
    FEDS Notes (2019)
    https://doi.org/10.17016/2380-7172.2390
  • Do National Account Statistics Underestimate US Real Output Growth?
    Matteo Barigozzi and Matteo Luciani
    FEDS Notes (2018)
    https://doi.org/10.17016/2380-7172.2116
  • Systemic Risk in the US: Interconnectedness as a Circuit Breaker
    Mardi Dungey, Matteo Luciani, and David Veredas
    Economic Modelling (2018)
    https://doi.org/10.1016/j.econmod.2017.10.004
  • Nowcasting Indonesia
    Matteo Luciani, Madhavi Pundit, Arief Ramayandi, and Giovanni Veronese
    Empirical Economics (2018)
    https://doi.org/10.1007/s00181-017-1288-4
    See also » FRB Working Paper (2015)
  • Surfing through the GFC: Systemic Risk in Australia
    Mardi Dungey, Marius Matei, Matteo Luciani, and David Veredas
    Economic Record (2017)
    https://doi.org/10.1111/1475-4932.12309
  • Estimating and Forecasting Large Panels of Volatilities with Approximate Dynamic Factor Models
    Matteo Luciani and David Veredas
    Journal of Forecasting (2015)
    https://doi.org/10.1002/for.2325
  • Monetary Policy and the Housing Market: A Structural Factor Analysis
    Matteo Luciani
    Journal of Applied Econometrics (2015)
    https://doi.org/10.1002/jae.2318
  • Nowcasting Norway
    Matteo Luciani and Lorenzo Ricci
    International Journal of Central Banking (2014)
  • Forecasting with Approximate Dynamic Factor Models: The Role of Non-pervasive Shocks
    Matteo Luciani
    International Journal of Forecasting (2014)
    https://doi.org/10.1016/j.ijforecast.2013.05.001
  • Do Euro Area Countries Respond Asymmetrically to the Common Monetary Policy?
    Matteo Barigozzi, Antonio M. Conti, and Matteo Luciani
    Oxford Bulletin of Economics and Statistics (2014)
    https://doi.org/10.1111/obes.12038
  • The Determinants of Investment in Information and Communication Technologies
    Matteo Luciani, Paolo Guerrieri, and Valentina Meliciani
    Economics of Innovation and New Technology (2011)
    https://doi.org/10.1080/10438599.2010.526313
  • A VAR Model for the Analysis of the Effects of Monetary Policy in the Euro Area
    Matteo Luciani
    Rivista di Politica Economica (2004)
  • seminar

    December 2023

    Federal Reserve Board

    Common and idiosyncratic inflation

  • conference

    December 2022

    16th CSDA International Conference on Computational and Financial Econometrics, London, UK

    Relative prices and pure inflation since the mid-1990s

  • conference

    June 2022

    Annual Conference of the International Association for Applied Econometrics, London, UK

    Relative prices and pure inflation since the mid-1990s

  • conference

    June 2021

    North American Summer Meeting of the Econometric Society, virtual

    Common and idiosyncratic inflation

  • conference

    June 2021

    Annual Conference of the International Association for Applied Econometrics, virtual;

    Common and idiosyncratic inflation

  • conference

    May 2021

    ESCoE Conference on Economic Measurement, Virtual

    Common and idiosyncratic inflation

  • seminar

    March 2020

    University of Queensland

    Measuring US aggregate output and output gap using large datasets

  • seminar

    March 2020

    Reserve Bank of Australia

    Common and idiosyncratic inflation

  • seminar

    March 2020

    University of Sidney

    Measuring US aggregate output and output gap using large datasets

  • seminar

    February 2020

    Monash MacroFinance workshop, Monash University, Melbourne, Australia.

    Measuring US aggregate output and output gap using large datasets

  • conference

    February 2020

    University of Melbourne

    Measuring US aggregate output and output gap using large datasets

  • conference

    October 2019

    Real-time data analysis, methods, and applications. National Bank of Belgium

    Measuring US aggregate output and output gap using large datasets

  • seminar

    October 2019

    Bank of England

    Common and idiosyncratic inflation

  • seminar

    October 2019

    European Central Bank

    Common and idiosyncratic inflation

  • conference

    June 2019

    6th Conference of the International Association for Applied Econometrics, Nicosia, Cyprus

    Measuring US aggregate output and output gap using large datasets

  • conference

    June 2019

    6th RCEA Time Series Econometrics Workshop, Larnaca, Cyprus

    Measuring US aggregate output and output gap using large datasets

  • conference

    April 2019

    Panel Data Forecasting Conference, University of Southern California, Los Angeles, CA

    Measuring US aggregate output and output gap using large datasets

  • seminar

    December 2018

    Bank of Italy

    Common and idiosyncratic inflation

  • conference

    December 2018

    12 th CSDA International Conference on Computational and Financial Econometrics, Pisa, Italy

    Measuring US aggregate output and output gap using large datasets

  • seminar

    October 2018

    University of Southern California, Los Angeles, CA

    Measuring US aggregate output and output gap using large datasets

  • seminar

    October 2018

    Federal Reserve Board

    Common and idiosyncratic inflation

  • conference

    June 2018

    5th Conference of the International Association for Applied Econometrics, Montreal, Canada

    Common Factors, Trends, and Cycles in Large Datasets

  • conference

    June 2018

    10th ECB Workshop on Forecasting Techniques, European Central Bank

    Common Factors, Trends, and Cycles in Large Datasets

  • conference

    June 2018

    Barcelona GSE Summer Forum, Workshop in Time Series Analysis in Macro and Finance, Universitat Pompeu Fabra

    Common Factors, Trends, and Cycles in Large Datasets

  • conference

    May 2018

    Inflation Day-Ahead Workshop, Cleveland Fed

    Common and Idiosyncratic Inflation

  • conference

    January 2018

    ASSA Meetings, Philadelphia, PA

    Common Factors, Trends, and Cycles in Large Datasets

  • conference

    December 2017

    Simposio of the Spanish Economic Association, Barcelona, Spain

    Oil price pass-through into core inflation

  • conference

    November 2017

    Central Bank Forecasting Conference, St. Louis, MO

    Common Factors, Trends, and Cycles in Large Datasets

  • conference

    August 2017

    32nd Annual Congress of the European Economic Association, Lisbon, Portugal

    Oil price pass-through into core inflation

  • conference

    June 2017

    23rd International Conference on Computing in Economics and Finance, Fordham University, New York City

    Common Factors, Trends, and Cycles in Large Datasets

  • seminar

    November 2016

    University of Pennsylvania, Philadelphia, PA

    Non-Stationary Dynamic Factor Models for Large Datasets

  • conference

    July 2016

    Workshop on Forecasting & Empirical Methods, NBER Summer Institute, Cambridge, MA

    Non-Stationary Dynamic Factor Models for Large Datasets

  • conference

    June 2016

    3rd Conference of the International Association for Applied Econometrics, University of Milano-Bicocca, Italy

    Non-Stationary Dynamic Factor Models for Large Datasets

  • conference

    June 2016

    North American Summer Meetings of the Econometric Society, Philadelphia, PA

    Non-Stationary Dynamic Factor Models for Large Datasets

  • conference

    June 2016

    50th Annual Conference of the Canadian Economics Association, University of Ottawa, Canada

    Non-Stationary Dynamic Factor Models for Large Datasets

  • conference

    May 2016

    Conference on Nowcasting in the Federal Reserve System, Nashville, TN

    Nowcasting Indonesia

  • conference

    December 2015

    European Winter Meetings of the Econometric Society, Bocconi University, Milan, Italy

    Non-Stationary Dynamic Factor Models for Large Datasets

  • conference

    December 2015

    9th CSDA International Conference on Computational and Financial Econometrics, Senate House, University of London

    Non-Stationary Dynamic Factor Models for Large Datasets

  • seminar

    June 2015

    Asian Development Bank, Manila, Philippines

    Nowcasting Indonesia

  • seminar

    March 2015

    University of Antwerpen, Belgium

    Monetary Policy and the Housing Market

  • seminar

    February 2015

    Bilkent University, Turkey

    Dynamic Factor Models, Cointegration, and Error Correction Mechanisms

  • seminar

    February 2015

    Koc University, Turkey

    Dynamic Factor Models, Cointegration, and Error Correction Mechanisms

  • seminar

    February 2015

    Universite de Namur, Belgium

    Dynamic Factor Models, Cointegration, and Error Correction Mechanisms

  • seminar

    January 2015

    Federal Reserve Board

    Dynamic Factor Models, Cointegration, and Error Correction Mechanisms

  • seminar

    January 2015

    Bank of Italy

    Dynamic Factor Models, Cointegration, and Error Correction Mechanisms

Conference Organization
  • 2019 | Bank of Italy

    CEBRA Workshop for Commodities and Macroeco- nomics

    Member of the scientific committee

  • 2018 | Pisa, Italy

    CSDA International Conference on Computational and Financial Econometrics

    Organizer of an invited session

  • 2016 | Sevilla, Spain

    CSDA International Conference on Computational and Financial Econometrics

    Organizer of an invited session

  • 2014 | Bilgi University, Istanbul, Turkey

    Conference on Advances in Applied Macro-Finance and Forecasting

    Member of the scientific committee

Referee
  • Canadian Economic Journal
  • Computational Statistics and Data Analysis
  • Economics of Innovation and New Technology
  • Empirical Economics
  • Energy Economics
  • International Journal of Central Banking
  • International Journal of Forecasting
  • Journal of Applied Econometrics
  • Journal of Banking and Finance
  • Journal of Business & Economic Statistics
  • Journal of Econometrics
  • Journal of Financial Econometrics
  • Journal of Forecasting
  • Journal of International Money and Finance
  • Journal of Macroeconomics
  • Journal of Money Credit and Banking
  • Journal of the American Statistical Association
  • Journal of the European Economic Association
  • Macroeconomic Dynamics
  • Oxford Bulletin of Economics and Statistics
  • Quantitative Finance
  • Review of Economics and Statistics
  • Risk Journals
  • Statistica Sinica
Back to Top
Last Update: November 12, 2024