We study empirical patterns in investment behavior using a comprehensive data set of defined contribution plans. Using plan-level portfolio allocation data for the near universe of 401(k) plans over the period 2009-2019, we document substantial differences in investment behavior across plans....

Abstract We use a revealed-preference approach to estimate investor expectations of stock market returns. Using data on demand for index funds that follow the S&P 500, we develop and estimate a model of investor choice to flexibly recover the time-varying distribution of expected returns. Our...

We use a revealed-preference approach to estimate investor expectations of stock market returns. Using data on demand for index funds that follow the S&P 500, we develop and estimate a model of investor choice to flexibly recover the time-varying distribution of expected returns. Our analysis is...

We study empirical patterns in investment behavior using a comprehensive data set of defined contribution plans. Using plan-level portfolio allocation data for the near universe of 401(k) plans over the period 2009-2019, we document substantial differences in investment behavior across plans....

We use credit report data for a representative sample of 35 million individuals over 2000-2016 to examine consumer financial distress in the United States. We show there are large, persistent geographic disparities in consumer financial distress, with low levels in the Upper Midwest and high...

We estimate the demand for health insurance in the California Affordable Care Act marketplace (Covered California) without using parametric assumptions about the unobserved components of utility. To do this, we develop a computational method for constructing sharp identified sets in a...

We develop a heterogeneous-agents network-based model to analyze alternative policies during a pandemic outbreak, accounting for health and economic trade-offs within the same empirical framework. We leverage a variety of data sources, including data on individuals' mobility and encounters...

Increasingly, retailers have access to better pricing technology, especially in online markets. Using hourly data from five major online retailers, we show that retailers set prices at regular intervals that differ across firms. In addition, faster firms appear to use automated pricing rules...