In this paper we try to estimate the impact of Structural Funds on the growth rates of Objective 1 European regions during the two first Programming periods (1989-2000). For that purpose, we develop a ''hybrid'' model of economic growth that partially endogenizes the rate of technical progress...

Este artículo explora a través de un mismo modelo básico las características fundamentales que determinan si es socialmente preferible concesionar versus privatizar un servicio público con características monopólicas. Los principales resultados de este trabajo son que la opción de...

This paper provides an empirical analysis of individual earnings using data from the Encuesta Suplementaria de Ingresos. We find that the predictable component of income is hump-shaped over the life-cycle, and that there are strong education effects. The unpredictable component of income can be...

This paper provides an empirical evaluation of the impact of infrastructure development on economic growth and income distribution using a large panel data set encompassing over 100 countries and spanning the years 1960-2000. The empirical strategy involves the estimation of simple equations for...

This paper studies subsampling hypothesis tests for panel data that are possibly nonstationary, and cross-sectionally correlated and cross-sectionally cointegrated. The tests include panel unit root and cointegration tests as special cases. The number of cross-sectional units in the panel data...

The relationship between income distribution and economic growth has been found to depend on several factors such as capital markets imperfections, moral hazard, indivisibility in investments, and existence of dual economic characteristics. In recent literature the importance of geography has...

This paper looks into the total factor productivity performance and economic growth of Latin America. A stochastic production frontier function was estimated as a translog leading to technical inefficiency in a set of 19 Latin American countries over the period 1961–1990. Using the...

We proposed two types of econometric models, a spatially clustered fixed-effects model (SCFEM) and a spatially correlated random-effects model (SCREM), to examine area-based panel data. We investigate what factors influence housing construction in the Tokyo Metropolitan Area, incorporating...

Macroeconomic time series are often obtained as an aggregate across regions or economic sectors. Even when the ultimate goal is to forecast the aggregate series it may be beneficial to consider the underlying disaggregate series. This especially holds when the disaggregate series are generated...

This paper considers a spatial panel data regression model with serial correlation on each spatial unit over time as well as spatial dependence between the spatial units at each point in time. In addition, the model allows for heterogeneity across the spatial units using random effects. The...