The economic literature proposes several nonparametric frontier estimators based on the idea of enveloping the data (FDH and DEA-type estimators). Many have claimed that FDH and DEA techniques are non-statistical, as opposed to econometric approaches where particular parametric expressions are...

This paper proposes a general methodology for bootstrapping in frontier models, extending the more restrictive method proposed in Simar and Wilson (1998a) by allowing for heterogeneity in the structure of efficiency. A numerical illustration with real data is provided to illstrate the methodology.

In this paper, we develop a Bayesian analysis of semi-parametric binary choice model. The prior specification of the functional parameter, namely the distribution function of a latent variable, is of the Dirichlet process type and the prior specification of the Euclidean parameter, namely the...

This paper modifies Van den Berg's (1990) nonstationary model of search, considering the existence of a firing probability. The presence of firing makes unemployed workers lower their reservation wage because of the entitlement effect embodied in accepting a job offer. In this nonstationary...

In this paper we present a class of binary choice models for panel data with the following features : (i) The explanatory variables are predetermined but not strictly exogenous. (ii) Individual effects are allowed to be correlated with the explanatory variables.