We derive indirect estimators of multivariate conditionally heteroskedastic factor models in which the volatilities of the latent factors depend on their past values. Specifically, we calibrate the analytical score of a Kalman-filter approximation, taking into account the inequality constraints...

We discuss a modified objective function strategy to obtain estimators without bias to order 1/T in nonlinear dynamic panel models with multiple effects. Estimation proceeds from a bias corrected objective function relative to some target infeasible criterion. We consider a determinant based...

This paper characterizes the optimal fiscal policy when it is assumed that there exists a minimum wage below which no worker can be hired. The rigidity due to the minimum wage legislation can lead to equilibria in which the supply side of the labor market is rationed. One of the main results of...

This paper examines unemployed workers' willingness to move for work and its relationship with their unemployment duration in Spain. We use a hypothetical question in the Spanish Labour Force Survey: ''Would you accept a job offer which implied a change of residence?''. The main finding is that...

In this paper we have developed a model which analyzes price competition in the deregulated Spanish electricity market. This model is the first to take explicitly into account the mechanism designed in the recent Spanish Electricity Law for settling stranded costs payments.

This paper reviews the existing approaches to deal with panel data binary choice models with individual effects. Their relative strengths and weaknesses are discussed. Much theoretical and empirical research is needed in this area, and the paper points to several aspects that deserve further...

Recovery of stranded costs is perhaps the most litigious issue encountering regulators in promoting competition in United States and European utility industries. We build a dynamic model of Cournot competition which takes into account a particular regulatory mechanism regularly employed in...