Attention invited to the most workable cross sectoral interregional models relating to application tools of integrated analysis and forecasting (planning) where scenarios are defined by physical output indicators dependent on material, labor and capital costs together with objective production...

Because of heterogeneity across regions, economic policy measures are increasingly targeted at the regional level. As a result, the need for economic forecasts at a sub-national level is rapidly increasing. The data available to compute regional forecasts is usually based on a pseudo-panel that...

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...

Economic growth is a frequently analyzed aspect, both from theoretical and empirical standpoint, under the impact of the influence factors, while the issue of economic growth was studied by applying different methods and obtaining different results. In the case of EU28, the problem of economic...

This study introduced a new approach for monitoring regional development by applying satellite data with machine learning algorithms. Satellite data that represent physical features and environmental factors were obtained by developing a web-based application on the Google Earth Engine platform....

In this paper we study international linkages when forecasting unemployment rates in a sample of 24 OECD economies. We propose a Global Unemployment Factor (GUF) and test its predictive ability considering in-sample and out-of-sample exercises. Our main results indicate that the predictive...

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...