The number of variables related to long-run economic growth is large compared with the number of countries. Bayesian model averaging is often used to impose parsimony in the cross-country growth regression. The underlying prior is that many of the considered variables need to be excluded from...

We review some patterns of Total Factor Productivity (TFP) growth in the Mexican economy during the period 1991-2011 using the KLEMS data set published by INEGI in 2013. The data shows a strong positive correlation between TFP and output growth. As a result, tests were performed in order to...

This study is an attempt to test the hypothesis 'international trade contributes to economic growth through its effects on human capital accumulation.' To assess the hypothesis empirically, we employed the extended Neo-Classical growth model that reflects some features of the endogenous growth...

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 investigates the robustness of determinants of economic growth in the presence of model uncertainty, parameter heterogeneity and outliers. The robust model averaging approach introduced in the paper uses a flexible and parsimonious mixture modeling that allows for fat-tailed errors...

We investigate country heterogeneity in cross-country growth regressions. In contrast to the previous literature that focuses on low-income countries, this study also highlights growth determinants in high-income (OECD) countries. We introduce Iterative Bayesian Model Averaging (IBMA) to address...

This paper provides empirical evidence for the importance of institutions in determining the outcome of crises on long-term growth. Once unobserved country-specific effects and other sources of endogeneity are accounted for, political institutions affect growth through their interaction with...

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...

The literature on aid has come a long way in recent years, and as a result we now know much more about aid effectiveness than possibly ever before. But significant gaps in knowledge remain. One such gap is the effectiveness of aid in the so-called ‘fragile states’, countries with critically...