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Working Paper
Measuring Income and Wealth at the Top Using Administrative and Survey Data
Administrative tax data indicate that U.S. top income and wealth shares are substantial and increasing rapidly (Piketty and Saez 2003, Saez and Zucman 2014). A key reason for using administrative data to measure top shares is to overcome the under-representation of families at the very top that plagues most household surveys. However, using tax records alone restricts the unit of analysis for measuring economic resources, limits the concepts of income and wealth being measured, and imposes a rigid correlation between income and wealth. The Survey of Consumer Finances (SCF) solves the ...
Working Paper
Parental Employment at the Onset of the Pandemic: Effects of Lockdowns and Government Policies
The COVID-19 pandemic had disproportionate impacts on women's employment, especially for mothers with school-age and younger children.However, the impacts likely varied depending on the type of policy response adopted by various governments. New Zealand presents a unique policy setting in which one of the strictest lockdown restrictions was combined with a generous wage subsidy scheme to secure employment. We utilize tax records to compare employment patterns of parents from the pandemic period (treatment group) to similar parents from a recent pre-pandemic period (control group). For mothers ...
Working Paper
Income and Earnings Mobility in U.S. Tax Data
We use a large panel of federal income tax data to investigate intragenerational income mobility in the United States. We have two primary objectives. First, we explore the determinants of two-year changes in individual labor earnings and family incomes, such as job or industry changes, marriage, divorce, and geographic mobility. Second, we evaluate how federal income taxes stabilize or destabilize post-tax income changes relative to pre-tax changes. We find a relatively high degree of income mobility, with almost half of workers exhibiting earnings increases or decreases of at least 25 ...
Discussion Paper
Exploring the use of anonymized consumer credit information to estimate economic conditions: an application of big data
The emergence of high-frequency administrative data and other big data offers an opportunity for improvements to economic forecasting models. This paper considers the potential advantages and limitations of using information contained in anonymized consumer credit reports for improving estimates of current and future economic conditions for various geographic areas and demographic markets. Aggregate consumer credit information is found to be correlated with macroeconomic variables such as gross domestic product, retail sales, and employment and can serve as leading indicators such that lagged ...