In this paper we develop an analytically solvable and structurally estimable economic geography model and apply it to predict migration flows for the period following the CEE’s integration with the EU. The main innovation of our approach is that it endogenises both explanatory variables and...

This paper uses bilateral data on 420 merchandise trade flows between 21 industrial countries are used to estimate standard trade equations. The data set of over 11,000 observations allows the underlying elasticities to be estimated with considerable precision. Remarkably, a single specification...

Using a panel of 439 German regions we evaluate and compare the performance of various Neural Network (NN) models as forecasting tools for regional employment growth. Because of relevant differences in data availability between the former East and West Germany, the NN models are computed...

The completion of transportation infrastructure frequently takes many years and occurs gradually. How does the gradual construction of transportation infrastructure affect the distribution of economic activity across the sites it serves? I examine the long-run effects of the timing of railroad...

Empirical assessments of the forecasting power of spatial panel data econometric models are still scarcely available. Moreover, several methodological contributions rely on simulated data to showcase the potential of proposed methods. While simulations may be useful to evaluate the properties of...