Large and persistent earnings losses following displacement have adverse consequences for the individual worker and the macroeconomy. Leading models cannot explain their size and disagree on their sources. Two mean-reverting forces make earnings losses transitory in these models: search as an...

We study implications of habit formation for optimal taxation. First, we show that taxation problems with habit formation can be analyzed using dynamic programming techniques. Second, we derive optimal labor and savings wedges for habit formation preferences. We show that habit formation...

This paper introduces a new long-run dataset based on archival data from historical waves of the Survey of Consumer Finances. The household-level data allow us to study the joint distributions of household income and wealth since 1949. We expose the central importance of portfolio composition...

We study asset-tested unemployment insurance in an incomplete markets model with moral hazard during job search. Asset testing has two counteracting effects on welfare. On the one hand, it improves consumption insurance by introducing state contingent transfers to agents most in need. On the...

This paper develops a tractable human capital model with limited enforceability of contracts. The model economy is populated by a large number of long-lived, risk-averse households with homothetic preferences who can invest in risk-free physical capital and risky human capital. Households have...

We study implications of habit formation for optimal taxation. First, we show that taxation problems with habit formation can be analyzed using dynamic programming techniques. Second, we derive optimal labor and savings wedges for habit formation preferences. We show that habit formation...

We study asset-tested unemployment insurance in an incomplete markets model with moral hazard during job search. Asset testing has two counteracting effects on welfare. On the one hand, it improves consumption insurance by introducing state contingent transfers to agents most in need. On the...