This paper proposes a computationally simple bivariate zero-inflated count data regression model with an unrestricted correlation pattern. An application to data with excess of zeros on the demand for health services is given.

The article develops a semiparametric estimation method for the bivariate count data regression model. We develop a series expansion approach in which dependence between count variables is introduced by means of stochastically related unobserved heterogeneity components, and in which, unlike...

We study the factors affecting the employment probability of temporary assistance for needy families (TANF) recipients using recent quarterly panel data from Atlanta, Georgia. A central focus of our study is to determine whether the TANF recipient's proximity to job opportunity and the...

This paper empirically investigates whether the quantity deficit in the children of the mother’s preferred gender is compensated through their favorable treatment in terms of investment in schooling (what we call a compensating hypothesis) in an environment where schooling opportunities are...

Work requirements and time limitations on benefits have forced welfare administrators to be more aggressive in moving welfare recipients into the workplace. This paper tracks a cohort of Georgia welfare leavers from 1992 to 2001, estimating the timing of recidivism using duration models. Of the...