This paper assess the empirical validity of the neoclassical migration model to predict German internal migration flows driven by regional labour market disparities. We estimate static and dynamic migration functions for 97 Spatial Planning Regions between 1996--2006 using key labour market...

This paper tests the empirical validity of the neoclassical migration model to predict German internal migration flows. We estimate static and dynamic migration functions for 97 Spatial Planning Regions between 1996--2006 using key labour market signals including income and unemployment...

This paper aimed at a statistical analysis of competition for tourists between regions within Baltic states (Estonia, Latvia, Lithuania) and estimation relative efficiency levels of regions. We apply a modern approach called Spatial Stochastic Frontier and corresponded to spatial modification of...

This paper considers the issue of GMM estimation of a short dynamic panel data model when the errors are correlated across individuals. We focus particularly on the conditions required in the cross-sectional dimension of the error process for the dynamic panel GMM estimator to remain consistent....

In order to develop efficient strategies to counter the adverse economic consequences of climate change, accurate and spatially detailed assessments of economic damage are required. Estimates to assess the impact of temperature variations on macroeconomic output are usually based on...

Econometrics is the area of statistics concerned in analyzing economic data, for both economic and business applications. This document, introduces the intermediate concepts of this area, for students already familiarized with basic econometric theory. In particular, topics concerning...

We study the estimation of a high dimensional approximate factor model in the presence of both cross sectional dependence and heteroskedasticity. The classical method of principal components analysis (PCA) does not efficiently estimate the factor loadings or common factors because it essentially...

We study the estimation of a high dimensional approximate factor model in the presence of both cross sectional dependence and heteroskedasticity. The classical method of principal components analysis (PCA) does not efficiently estimate the factor loadings or common factors because it essentially...

The paper analyzes the migration dynamics in Americas from 1960 to 2005 using an equilibrium approach as is proposed in Sjaastad (1969) y Todaro (1969). With recent spatial econometrics techniques the migration flow is evaluated, controlling for labor mobility effect and regional wages....

This paper examines the long-run economic relationship between health care expenditure and income in Economic Community of Central African States observed over the period 1995-2014. Particularly we study the non-stationarity and cointegration properties between health care spending and income,...