Has greater turbulence among firms fueled rising wage instability in the U.S.? Gottschalk and Moffitt ([1994]) find that rising earnings instability was responsible for one third to one half of the rise in wage inequality during the 1980s. These growing transitory fluctuations remain largely...

We estimate the elasticity of charitable giving with respect to its price and after-tax income using a panel of over 550,000 disproportionately high-income tax returns spanning the years 1979 through 2005. Improvements relative to the previous literature include: using state tax variation to...

A serious difficulty in determining the importance of credit constraints in education arises because standard data sources do not provide a direct way of identifying which students are credit constrained. This has forced researchers to adopt a variety of indirect approaches. This paper...

In both corporate finance and asset pricing empirical work, researchers are often confronted with panel data. In these data sets, the residuals may be correlated across firms and across time, and OLS standard errors can be biased. Historically, the two literatures have used different solutions...

Using original data from two waves of a survey conducted in March and April 2020 in eight OECD countries (N = 21,649), we show that women are more likely to see COVID-19 as a very serious health problem, to agree with restraining public policy measures adopted in response to it, and to comply...

This paper provides the first nationally representative estimates of vulnerability to severe com-plications from COVID-19 overall and across race-ethnicity and socioeconomic status. We use the Panel Study of Income Dynamics (PSID) to examine the prevalence of specific health condi-tions...

We use dynamic panel data models to generate density forecasts for daily Covid-19 infections for a panel of countries/regions. At the core of our model is a specification that assumes that the growth rate of active infections can be represented by autoregressive fluctuations around a downward...

Using administrative employment data from the state of Washington, we use short-duration longitudinal panels to study the impact of Seattle's minimum wage ordinance on individuals employed in low-wage jobs immediately before a wage increase. We draw counterfactual observations using...

In this paper we study methods for estimating causal effects in settings with panel data, where a subset of units are exposed to a treatment during a subset of periods, and the goal is estimating counterfactual (untreated) outcomes for the treated unit/period combinations. We develop a class of...

This paper considers the problem of forecasting a collection of short time series using cross sectional information in panel data. We construct point predictors using Tweedie's formula for the posterior mean of heterogeneous coefficients under a correlated random effects distribution. This...