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B0442
Title: Cross-section dependence and latent heterogeneity to evaluate the impact of human capital: A robust nonparametric model Authors:  Camilla Mastromarco - University of Calabria (Italy) [presenting]
Leopold Simar - Universite Catholique de Louvain (Belgium)
Abstract: Human Capital has been recognized as the most important force behind economic growth of countries. However, the effect of this important growth factor on economic growth remains ambiguous due to endogeneity and latent heterogeneity. By using a dataset of 40 countries over 1970-2007, we estimate the global frontier and explore the channels under which human capital and time affect the production process and its components: impact on the attainable production set (input-output space), and the impact on the distribution of efficiencies. We extend existing methodological tools - robust frontier in non parametric location-scale models - to examine these interrelationships. We use a flexible nonparametric two-step approach on conditional efficiencies to eliminate the dependence of production inputs/outputs on common factors. We emphasize the usefulness of pre-whitened inputs/outputs to obtain more reliable measure of productivity and efficiency to better investigate the impact of human capital on the catching-up productivity process. Then, we take into account the problem of unobserved heterogeneity and endogeneity in the analysis of the influence of human capital on the production process by extending a previous instrumental nonparametric approach to account also for cross section and time dependence.