Multiple time series data may exhibit clustering over time and the clustering effect may change across different series. This paper is motivated by the Bayesian non–parametric modelling of the dependence between clustering effects in multiple time series analysis. We follow a Dirichlet process...

One of the main drawbacks of current methods to measure market integration is the assumption of constant transaction costs. In this paper, we propose a non-parametric extension to the commonly used threshold models, allowing us to estimate transaction costs in a more flexible way. We illustrate...

We estimate a non-parametrical Capital Asset Pricing Model (CAPM) and find strong evidence rejecting the classical linear CAPM. Furthermore, we find inconsistent linear betas for a series of stocks in the Colombian stock exchange (BVC), supporting the hypothesis of a better and consistent...

The purpose of this article is to assess whether food safety regulations imposed by the European Union in the 2000s may have induced a slow-down in the productivity of firms in the food processing sector. The impact of regulations on costs and productivity has seldom been studied. This article...

We estimate a non-parametrical Capital Asset Pricing Model (CAPM) and find strong evidence rejecting the classical linear CAPM. Furthermore, we find inconsistent linear betas for a series of stocks in the Colombian stock exchange (BVC), supporting the hypothesis of a better and consistent...

This study applies regression analysis as well as a non-parametric method to survey data from Burkina Faso to analyze the role of human capital in explaining technical efficiency in smallholder agricultural production. Exploiting the panel nature of the data and explicitly treating human capital...