Maddison's international panel data show that technically it was the faster growth rate of the US economy that led to its overtaking the UK as economic superpower. We explore the contributing factors. Identifying the land-grant colleges system triggered by the 1862/1890 Morrill Acts (MAs) as a...

We construct an endogenous growth model that includes a cultural variable along the dimension of individualism-collectivism. The model predicts that more individualism leads to more innovation because of the social rewards associated with innovation in an individualist culture. This cultural...

We investigate whether a causal interpretation of the robust association between cognitive skills and economic growth is appropriate and whether cross-country evidence supports a case for the economic benefits of effective school policy. We develop a new common metric that allows tracking...

Many scholars have argued that once "basic needs" have been met, higher income is no longer associated with higher in subjective well-being. We assess the validity of this claim in comparisons of both rich and poor countries, and also of rich and poor people within a country. Analyzing multiple...

Using newly collected national and sub-national data and historical case studies, this paper argues that differences in innovative capacity, captured by the density of engineers at the dawn of the Second Industrial Revolution, are important to explaining present income differences, and, in...

We use recent immigration data from 195 countries and propose an index of population diversity based on people's birthplaces. This new index is then decomposed into a size (share of foreign born) and a variety (diversity of immigrants) component and is available for 1990 and 2000 disaggregated...

This paper focuses on the estimation and predictive performance of several estimators for the time-space dynamic panel data model with Spatial Moving Average Random Effects (SMA-RE) structure of the disturbances. A dynamic spatial Generalized Moments (GM) estimator is proposed which combines the...

This paper extends the transformed maximum likelihood approach for estimation of dynamic panel data models by Hsiao, Pesaran, and Tahmiscioglu (2002) to the case where the errors are crosssectionally heteroskedastic. This extension is not trivial due to the incidental parameters problem that...

This paper extends the work of Baltagi et al. (2018) to the popular dynamic panel data model. We investigate the robustness of Bayesian panel data models to possible misspecication of the prior distribution. The proposed robust Bayesian approach departs from the standard Bayesian framework in...

We propose a novel procedure, built within a Generalized Method of Moments framework, which exploits unpaired observations (singletons) to increase the efficiency of longitudinal fixed effect estimates. The approach allows increasing estimation efficiency, while properly tackling the bias due to...