Identifying the true determinants of export diversification is difficult as there exists no comprehensive theoretical or empirical framework to capture all potential factors in their entirety. This paper uses Bayesian Model Averaging to uncover the true long-term roots of export diversification...

In this paper, we estimate a dynamic panel data model to determine the effect of various institutional factors on the performance of a sample of Colombian companies during the period 2002-2007. Our results indicate that the analyzed companies are affected by these factors. Institutions...

The world meat market demands competitiveness and optimal livestock replacement decisions can help to achieve this goal. We introduce a novel discrete stochastic dynamic programming framework to support a manager's decision-making process of whether to sell or keep fattening animals in the beef...

We introduce a Bayesian instrumental variable procedure with spatial random effects that handles endogeneity, and spatial dependence with unobserved heterogeneity. We find through a limited Monte Carlo experiment that our proposal works well in terms of point estimates and prediction. Then, we...

Currently, the world is facing a continuous process of integration in di fferent aspects and fi nancial markets are no exception to this development. Despite the fact that global integration is gradual, one can fi nd some specfi c events that might help to accelerate this trend. This paper shows...