This paper introduces bias-corrected estimators for nonlinear panel data models with both time invariant and time varying heterogeneity. These include limited dependent variable models with both unobserved individual effects and endogenous explanatory variables, and sample selection models with...

This paper describes the construction of time-consistent national and state-level estimates of union density for the years 1964 through 2000. Two sources of data are combined to produce these estimates, the Current Population Survey (CPS), a monthly survey of U.S. households, and the...

This paper describes the construction of time-consistent national and state-level estimates of union density for the years 1964 through 2000. Two sources of data are combined to produce these estimates, the Current Population Survey (CPS), a monthly survey of U.S. households, and the...

This paper introduces bias-corrected estimators for nonlinear panel data models with both time invariant and time varying heterogeneity. These include limited dependent variable models with both unobserved individual effects and endogenous explanatory variables, and sample selection models with...

In correlated random coefficient models, standard OLS and IV estimators do not estimate the average population effect. This problem can be fixed with panel data by estimating a different coefficient for each individual, and then using the sample moment of the individual coefficients to estimate...