Human capital plays an important role in the theory of economic growth, but it has been difficult to measure this abstract concept. We survey the psychological literature on cross-cultural IQ tests and conclude that modern intelligence tests provide one useful measure of human capital. Using a...

The objective of this paper is to study the effect of institutional factors on economic growth of a set of 37 developed and developing countries for six successive periods of five years, from 1975 until 2000, using a static panel data model. The key findings generated by this empirical test...

The objective of this paper is to study the effect of in equality on economic growth of a set of eight developing countries during the period 2000-2009, using a dynamic panel data model and a simultaneous equations model. The key findings generated from these two empirical tests stipulate a...

The present article analyses the impact of government instability, internal tensions, and political competition on economic growth in selected countries using the Panel-ARDL model from 1995 to 2020. Political instability, one of the chief obstacles to the performance of public functions,...

This paper contributes to the productivity literature by using results from firm-level productivity studies to improve forecasts of macro-level productivity growth. The paper employs current research methods on estimating firm-level productivity to build times-series components that capture the...

This paper contributes to the productivity literature by using results from firm-level productivity studies to improve forecasts of macro-level productivity growth. The paper employs current research methods on estimating firm-level productivity to build times-series components that capture the...

Regression analyses of cross-country economic growth data are complicated by two main forms of model uncertainty: the uncertainty in selecting explanatory variables and the uncertainty in specifying the functional form of the regression function. Most discussions in the literature address these...

Taking a Bayesian perspective on model uncertainty for static panel data models proposed in the spatial econometrics literature considerably simplifies the task of selecting an appropriate model. A wide variety of alternative specifications that include various combinations spatial dependence in...

This study suggests a two-step approach to identifying and interpreting regional convergence clubs in Europe. The first step calculates Bayesian probabilities for various assignments of regions to two clubs using a general stochastic space-time dynamic panel relationship between growth rates and...