Many improvements have been proposed for the basic gravity model specification, most of which are confirmed by standard statistical tests due to the large number of observations often used to estimate such models. We use Monte Carlo experiments to examine situations in which features of models...

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...

This article questions the slope homogeneity in a gravity equation and proposes a partially heterogeneous framework for its estimation using panel data. We suggest to employ K-mean clustering to group countries according to the gravity equation variables. Further, the gravity model is estimated...

This paper provides new insight into the firm-level employment impacts of trade cost changes at the industry level in the Austrian services sector. We apply a two-part model of firm survival (exit) and firm growth. Separate regressions for firm entry rates at the industry-region level complete...

This paper provides new insight into the firm-level employment impacts of trade cost changes at the industry level in the Austrian services sector. We apply a two-part model of firm survival (exit) and firm growth. Separate regressions for firm entry rates at the industry-region level complete...

This paper presents an empirical assessment of the endogenous optimum currency area theory. Frankel and Rose (1998) study the endogeneity of a currency union through the lens of international trade flows. Our study extends Frankel and Rose's model by using FDI flows to test the original theory...