WP 21 - A two-step first-difference estimator for a panel data tobit model

Autor: Adriaan Kalwij
Rok vydání: 2004
Popis: This study formulates an easy-to-use two-step first-difference estimator for a panel data Tobit model. In the first step a bivariate Probit is estimated, using all observations. These estimates are used to construct correction terms that are added to the first-difference equation. This equation is estimated by Least Squares on a sub-sample of observations for which the dependent variable is positive in both periods. Most of this study is concerned with the derivation of the corrections terms.
Databáze: OpenAIRE