This paper revisits the estimation of private returns to R&D. In an extension of the standard approach, we allow for endogeneity of production decisions, heterogeneity of R&D elasticities, and asymmetric treatment of intramural and extramural R&D. Our empirical analyses are based on an extended...

The paper reports the empirical results of the validation of the Stochastic Production Frontier (SPF) Model to an unbalanced panel comprising a cross-section of 8 manufacturing industries over a time span of 26 years The results provide insights on the repercussions of the micro-economic reform...

We consider inference about coefficients on a small number of variables of interest in a linear panel data model with additive unobserved individual and time specific effects and a large number of additional time-varying confounding variables. We allow the number of these additional confounding...

Regional fiscal equalization in Germany aims to reduce fiscal disparities by allocating financial resources to less promising regions in order to support the supply of public goods. This paper aims to analyse secondary economic effects of regional fiscal equalization on several economic in- and...

We investigate the impact of research and development (R&D) subsidies on R&D inputs of large- and medium-sized firms and on additional innovation and economic activities in Chinese provinces. A panel vector autoregressive (VAR) model and corresponding impulse response function (IRF) analysis...

This paper deals with the effects of publicly funded research on regional technological progress and economic growth. We adopt a system approach and investigate the effects on all regional input factors and output by means of a flexible spatial panel VAR (SpPVAR) model. This allows us to deal...

This paper seeks to examine the determinants of FDI into Latin America with an aim to make policy recommendations to boost FDI into the region. Using data for 17 Latin American countries for the period from 1990 to 2013 and two-way fixed effects method of estimation, the paper is an attempt to...

In the practice of program evaluation, choosing the covariates and the functional form of the propensity score is an important choice that the researchers make when estimating treatment effects. This paper proposes a data-driven way of averaging the estimators over the candidate specifications...