The paper shows how - using as an example the trade flows between eleven European countries and 31 OECD `reporting' countries - the result of a gravity model, in terms of potential trade, changes substantially when country heterogeneity and dynamics are taken into account. Comparing the...

Abstract The paper shows how - using as an example the trade flows between eleven European countries and 31 OECD `reporting' countries - the result of a gravity model, in terms of potential trade, changes substantially when country heterogeneity and dynamics are taken into account. Comparing the...

The object of this paper is to estimate the effect of European Union eastwards enlargement process on trade patterns in the Union. In particular, we intend to investigate whether and how the EU Free trade agreements with CEECs have exerted a different impact on centre-periphery and...

The use of the gravity model to evaluate the effect of policies in a cross-country framework is largely predominant in the international economics empirical literature. This literature usually implements importer and exporter fixed effects to account for the theoretical Multilateral Trade...

The paper shows how - using as an example the trade flows between eleven European countries and 31 OECD 'reporting' countries - the result of a gravity model, in terms of potential trade, changes substantially when country heterogeneity and dynamics are taken into account. Comparing the...

In the gravity equation of international trade, bilateral trade flows are regressed on trading partners’ income and the distance that separates them along with other variables. This widely used equation is traditionally estimated by the ordinary least squares method. We employ an alternative...

We propose a Generalized Poisson-Pseudo Maximum Likelihood (G-PPML) estimator that relaxes the PPML estimator's assumption that the dependent variable's conditional variance is proportional to its conditional mean. Instead, we employ an iterated Generalized Method of Moments (iGMM) to estimate...

We propose a Generalized Poisson-Pseudo Maximum Likelihood (G-PPML) estimator that relaxes the PPML estimator's assumption that the dependent variable's conditional variance is proportional to its conditional mean. Instead, we employ an iterated Generalized Method of Moments (iGMM) to estimate...

I discuss the fixed-effect estimation of panel data models with time-varying excess heterogeneity across cross-sectional units. These latent components are not given a parametric form. A modification to traditional first-differencing is motivated which, asymptotically, removes the permanent...

We propose a jackknife for reducing the order of the bias of maximum likelihood estimates of nonlinear dynamic fixed-effect panel models. In its simplest form, the half-panel jackknife, the estimatorisjust 2θˆ−θ1/2,where θˆ!istheMLEfromthefullpaneland θ1/2 istheaverageofthe two...