This paper modifies the Hausman and Taylor (1981) panel data estimator to allow for serial correlation in the remainder disturbances. It demonstrates the gains in efficiency of this estimator versus the standard panel data estimators that ignore serial correlation using Monte Carlo experiments.

We study identification and estimation in a binary response model with random coefficients B allowed to be correlated with regressors X. Our objective is to identifiy the mean of the distribution of B and estimate a trimmed mean of this distribution. Like Imbens and Newey (2009), we use...

Childcare arrangements are key in women's ability to juggle motherhood and working outside the home. As such, the study of the access to childcare and its use is of great policy relevance. We focus on a particular kind of informal childcare, the one provided by grandparents. Empirically,...

The aim of this paper is to investigate the effect of Employment Protection Legislation (EPL) on fertility decisions of Italian working women using administrative data. We exploit a reform that introduced in 1990 costs for dismissals unmotivated by a ‘fair cause’ or ‘justified motive’ in...

This paper provides cross-country evidence that variations in bank regulatory policies result in differences in income distribution. In particular, the overall liberalization of banking systems decreases the Gini coefficient and the Theil index significantly. However, this effect fades away for...

The aim of this paper is to investigate the effect of Employment Protection Legislation (EPL) on fertility decisions of Italian working women using administrative data. We exploit a reform that introduced in 1990 costs for dismissals unmotivated by a 'fair cause' or 'justified motive' in firms...

First order conditions from the dynamic optimization problems of consumers and firms are important tools in empirical macroeconomics. When estimated on micro-data these equations are typically linearized so standard IV or GMM methods can be employed to deal with the measurement error that is...