Donor agencies invest considerable financial and human resources to evaluate the outcome of their development activities. To derive institutional conditions conducive to an efficient use of these resources, we develop a multi-level principal-agent model focusing on the various interests of the...

This paper presents a simple framework in which the location and the growth rate of economic activities are endogenous and interact. We show that the nature of the equilibrium and of the relation between growth and location depends fundamentally on whether capital is assumed to be mobile (in...

We investigate the convergence process among EU regions between 1980-2002 taking into account the effects of spatial heterogeneity and spatial spillover effects. The spatial regimes model allows for different steady-state growth paths. In contrast to previous analyses, the regimes in this paper...

This paper discusses a large-scale factor model for the German economy. Following the recent literature, a data set of 121 time series is used via principal component analysis to determine the factors, which enter a dynamic model for German GDP. The model is compared with alternative univariate...

Main topics of the following analysis are the development of spatial structure and the question whether the economic disparities between agglomerations and peripheral areas will con- or diverge. Frequently, economic disparities are measured by per capita income. Because of the relationship...

The paper bases itself on recent theoretical writings in growth economics that emphasize the effects of both own R&D efforts and of interregional technology spillovers on regions´ productivity. We propose robust estimation techniques to evaluate the R&D spillovers across West German functional...

The paper proposes a technique to jointly tests for groupings of unknown size in the cross sectional dimension of a panel and estimates the parameters of each group, and applies it to identifying convergence clubs in income per-capita. The approach uses the predictive density of the data,...