Counts with an endogenous binary regressor: a series expansion approach

• Autores: Marcos Vera Hernández, Andrés E. Romeu Santana
• Localización: Working papers = Documentos de trabajo: Serie AD, Nº. 36, 2004
• Idioma: inglés
• Enlaces
  • Texto completo (pdf)
• Resumen

  • We propose an estimator for count data regression models where a binary regressor is endogenously determined. This estimator departs from previous approaches by using a flexible form for the conditional probability function of the counts. Using a Monte Carlo experiment we show that our estimator improves the fit and provides a more reliable estimate of the impact of regressors on the count when compared to alternatives which do restrict the mean to be linear-exponential. In an application to the number of trips by households in the US, we find that the estimate of the treatment effect obtained is considerably different from the one obtained under a linear-exponential mean specification.