This paper derives conditions under which the generalized method of moments (GMM) estimator is as efficient as the maximum likelihood estimator (MLE). The data are supposed to be drawn from a parametric family and to be stationary Markov. We study the efficiency of GMM in a general framework...

In many circumstances, the likelihood function does not have a simple tractable expression. The main examples discussed in the paper are the convolution and the mixture of distributions. Finite mixture models are commonly used to model data from a population composed of a finite number of...

This paper investigates the question whether it really matters for microeconometric evaluation studies to take account of the fact that the programmes under consideration are heterogeneous. Assuming that selection into the different sub-programmes and the potential outcomes are independent given...

No abstract.