Measuring the Impact of Data Protection Techniques on Data Utility: Evidence from the Survey of Consumer Finances
Arthur Kennickell
Federal Reserve Board
Julia Lane
NORC/University of Chicago
Figure 1: Percent Difference Between Original and Distorted Data Debt to Income Ratio by Income Quintile
| Income percentile group | Mean | Median |
|---|
| 0-20 | 0.355378348 | 0 |
| 20-40 | -0.999326972 | -1.55144674 |
| 40-60 | 0.053890199 | 0.730110942 |
| 60-80 | 0.309522397 | 0.60183948 |
| 80-90 | -0.113983731 | 0.096643519 |
| 90-100 | -0.514727138 | -1.169643017 |
Figure 2: Percent Difference Between Original and Distorted Data Net Worth by Income Quintile
| Income percentile group | Mean | Median |
|---|
| 0-20 | 1.528044653 | 1.013874066 |
| 20-40 | -1.548303463 | -1.024804938 |
| 40-60 | -0.620781528 | -0.104741289 |
| 60-80 | 0.746441727 | 0.031259769 |
| 80-90 | -0.690342687 | -0.628001003 |
| 90-100 | 0.187617409 | 0.43251631 |
