When analyzing panel data using regression models, it is often reasonable to allow for time-varying covariate effects. We propose a novel approach to modelling timevarying coefficients in panel data regressions, which is based on penalized regression techniques. To illustrate the usefulness of...

When analyzing panel data using regression models, it is often reasonable to allow for time-varying covariate effects. We propose a novel approach to modelling timevarying coefficients in panel data regressions, which is based on penalized regression techniques. To illustrate the usefulness of...

When analyzing panel data using regression models, it is often reasonable to allow for time-varying covariate effects. We propose a novel approach to modelling timevarying coefficients in panel data regressions, which is based on penalized regression techniques. To illustrate the usefulness of...

When analyzing panel data using regression models, it is often reasonable to allow for time-varying covariate effects. We propose a novel approach to modelling time-varying coefficients in panel data regressions, which is based on penalized regression techniques. To illustrate the usefulness of...

This paper studies the impact of physical distance and different relational proximity types on the formation of the Internet infrastructure. Although there is some anecdotal evidence on the 'end of geography' effect of the Internet, the relationship between physical space and the Internet has...

This discussion paper resulted in an article in the <I>Journal of Regional Science</I> (2013). Volume 53, Issue 5(SI), pages 855-873.<P> This paper studies the impact of physical distance and different relational proximity types on the formation of the Internet infrastructure. Although there is some...</p></i>

In this paper, we consider the nonparametric estimation of a varying coefficient fixed effect panel data model. The estimator is based in a within (un-smoothed) transformation of the regression model and then a local linear regression is applied to estimate the unknown varying coefficient...

The primary motivation behind quantitative modeling in international trade and many other fields is to shed light on the economic consequences of policy changes. To help assess and potentially strengthen the credibility of such quantitative predictions we introduce an IV-based goodness-of-fit...

According to trade theory trade policy can impact quite differently (positively, negatively, nil) on economic growth depending on the model assumptions such as perfect or imperfect competition due to the existence of economies to scale or externalities. This result is replicated when the impact...