This note argues that a Bayesian framework is almost inescapable when specifying statistical models of the LISREL type, i.e. models involving not only latent and manifest variables but also incidental parameters. Indeed, a careful specification, making every hypothesis explicit and...

In this paper, minimal conditions under which a semi-parametric binary response model is identified in a Bayesian framework are presented and compared to the conditions usually required in a sampling theory framework.

In this paper, we develop a Bayesian analysis of a 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...

This paper surveys Bayesian procedures of testing along with different attitudes of econometricians facing testing problems with some sympathy for Bayesian ideas. In the first part, the general Bayesian testing procedures are structured along two main axes. The first one presents the usual...

We first analyse the general problem of admissible conditioning and next consider the evaluation of the loss of information when a non-admissible conditioning is used as an approximaton of the exact posterior distribution. Considering the case of Fisher test, we evaluate from a Bayesian point...

Competing risks models are presented in the framework of single transition-multiple causes models. Particular attention is paid to general distributions of latent durations and to model identification problems, which are different from parameter identification problems. Implications for...

This work has been prepared as chapter 19 for the volume Econometrics of Panel Data (2nd ed., Matyas and Sevestre eds., Kluwer Academic Publishers). The main emphasis is on modelling whereas inference problems are only sketched. After a short review on the basic issues on marginal models (i.e....

Nowcasting regards the inference on the present realization of random variables, on the basis of information available until a recent past. This paper proposes a modelling strategy aimed at a best use of the data for nowcasting based on panel data with severe deficiencies, namely short times...

In this paper, we propose an empirical method to measure the market imperfection and the bargaining power of the agents, by extending the methods of frontier analysis. A case study in the field of freight transport illustrates the proposed method.