This paper presents some two-step estimators for a wide range of parametric panel data models with censored endogenous variables and sample selection bias. Our approach is to derive estimates of the unobserved heterogeneity responsible for the endogeneity/selection bias to include as additional...

This paper uses longitudinal data to perform tests of asymmetric information in the French automobile insurance market for the 1995-1997 period.This market is characterized by the presence of a regulated experience-rating scheme (bonusmalus).We demonstrate that the result of the test depends...

The panel-data regression models are frequently applied to micro-level data, which often suffer from data contamination, erroneous observations, or unobserved heterogeneity. Despite the adverse effects of outliers on classical estimation methods, there are only a few robust estimation methods...

Using panel data of 58 developing countries for the period 1980-1998, this study shows that the responsiveness of the $2 a day poverty headcount measure to changes in mean income and inequality significantly decreases with initial inequality and the ratio poverty line over mean income - taken as...

We consider a Bayesian analysis of the stochastic frontier model with composed error.Under a commonly used class of (partly) noninformative prior distributions, the existence of the posterior distribution and of posterior moments is examined.Viewing this model as a Normal linear regression model...

Subjective expectations about future income changes are analyzed, using household panel data.The models used are extensions of existing binary choice panel data models to the case of ordered response.We consider both random and fixed individual effects.The random effects model is estimated by...

Equivalence scales provide answers to questions like how much a household with four children needs to spend compared to a household with two children or how much a childless couple needs to spend compared to a single person household to attain the same welfare level. These are important...

We analyze mobility in urban Mexico between three labor market states: working in the formal sector, working in the informal sector, and not working. We use a dynamic multinomial logit panel data model with random effects, explaining the labor market state of each individual during each time...

This study develops a two-step estimator for a panel data Tobit model based on taking first-differences of the equation of interest, under conditional mean independence assumptions.The necessary correction terms are non-standard and a substantial part is therefore devoted to the formal...