In most empirical studies, once the best model has been selected according to a certain criterion, subsequent analysis is conducted conditionally on the chosen model. In other words, the uncertainty of model selection is ignored once the best model has been chosen. However, the true...

In this paper, we propose the copula-based maximum likelihood (ML) approach to estimate the multiple stochastic frontier (SF) models with correlated composite errors. The motivation behind the extension to system of SF regressions is analogous to the classical generalization to system of...

Heterogeneity among firms has been an important issue in studying firms’ technical efficiencies. If firms do not randomly fall into different groups with different technologies but by self-selection, statistically it implies the data are subject to the sample selection bias. In this paper, we...

By considering a social trade-off between targeting the exchange rate and minimizing intervention costs, nonlinear exchange rate dynamics can be captured by a structural threshold model. This article provides a theory-based empirical exchange rate model and shows how to put the model into an...

Heckman’s (Ann Econ Soc Meas 15:475–492, <CitationRef CitationID="CR5">1976</CitationRef>; Econometrica 47(1):153–161, <CitationRef CitationID="CR6">1979</CitationRef>) sample selection model has been employed in many applications of linear or nonlinear regression studies. It is well known that ignoring the sample selectivity may result in estimation bias of the estimator....</citationref></citationref>

A simple approximation for the bivariate normal cumulative distribution function (BNCDF) based on the error function is derived. The worst error of our method is found to four decimal places under various configurations considered in this paper's Table 1. This finding is much better than that in...