This paper aims to study whether a simple asymetric adjustment costs model with heterogeneity can account for French aggregate job flows.

A generalization of the endogenous threshold model is developed by extending this class to multivariate framework and to cases where the feedback acts at multiple lags. The feedback is specified, following Beaudry and Koop, by a variable which measures the depth of recessions. We give conditions...

A standard approach to duality in stochastic optimization problems with constraints in L(infinite) relies upon the Yosida-Hewitt theorem. We develop an alternative technique which employs only "elementary" means. The technique is based on an e-regularization of the original problem and on...

This paper "tests" the performance of the approaches of Watson (1993), DeJong, Ingram and Whiteman (1996), Canova and De Nicolo (1995) and Ortega (1998) for evaluating stochastic dynamic general equilibrium models using Monte Carlo techniques. It asks: Do different model evaluation methodologies...

In this paper we construct a dynamic stochastic general equilibrium model for a small open economy allowing for perfect capital mobility. The model incorporates price rigidities in monopolistically competitive goods and labor markets and real rigidities in the form of capital adjustment costs....

We have shown that Eaton's (1992) Markov chain is recurrent if and only if its conjugate partner is recurrent. This result may be viewed as an extension od Diebolt and Robert's (1994) Duality Principle. It it interesting from a theoretical standpoint in that Eaton's (1992) results can now be...

This paper complements the results of Hausman and Taylor (1981) and Cornewell, Schmidt and Sickles (1990) and generalizes Park and Simar (1994) by examining the semiparametric efficient estimation of panel models in which the random effects and the regressors have certain patterns of correlation.

Efficiency scores of production units are measured by their distance to an estimated production forntier. Nonparametric DEA estimators are based on a finit sample of observed production units and radial distances are considered. We investigate the consistency and the speed of convergence of...

SETSTOCH is a tool for linking Algebraic Modeling Languages with Specialized Stochastic Programming Solvers. Its main role is to retrieve from the modeling language a dynamically ordered core model (baseline scenario) that is then sent automatically to the Stochastic Solver. The user is thus...