variances and cell means for all topcoded income values in the public-use version of these data. We then provide a procedure … imputing its topcoded income values. As an example of its value we show how our new procedure improves on existing imputation …

Geocoding (BISG) algorithm--we document large prediction errors among Black Americans. The errors bias measured racial … disparities in loan approval rates downward by 43%, with greater bias for traditional vs. fintech lenders. Regulation using self …

empirical analyses we conducted to assess accuracy in the Survey of Income & Program Participation (SIPP) Synthetic Beta (SSB …

ethnic differences in program receipt and post-benefit income. We briefly discuss paths forward …

We review research on the dynamics and distribution of individual earnings and family income. We start with univariate … earnings models, which dominate the literature and are often used as the exogenous component of family income in structural … family income that integrate individual earnings, marriage (accounting for marital sorting), and earnings of a spouse (if …

We estimate an income process that is consistent with key facts on individual income risk and its variation over the … business cycle. In particular, the estimated process generates income fluctuations that display (i) flat and acyclical variance … over the life cycle, all consistent with the US data. Furthermore, the income process captures the predictable nature of …

Top income inequality in the United States has increased considerably within occupations. This phenomenon has led to a … search for a common explanation. We instead develop a theory where increases in income inequality originating within a few … provides non-divisible services to consumers, with physicians our prime example. Examining local income inequality across U …