We propose theory-based Monte Carlo simulations to quantify the extent to which the estimated speed of convergence depends on the underlying econometric techniques. Based on a theoretical growth model as the data generating process, we find that, given a true speed of convergence of around 5%,...

We provide an overview of recent empirical research on patterns of cross-country growth. The new empirical regularities considered differ from earlier ones, e.g., the well-known Kaldor stylized facts. The new research no longer makes production function accounting a central part of the analysis....

We assess the bias and the efficiency of state-of-the-art dynamic panel data estimators by means of model-based Monte Carlo simulations. The underlying data-generating process consists of a standard theoretical growth model of income convergence based on capital accumulation. While we impose a...

Despite abundant microeconomic level evidence, the role of human capital in economic development has not been well documented at the macroeconomic level. Up to now, many empirical macro studies lack a consistent theoretical foundation. In addition, the wide range of published results seems to...

We use a Monte Carlo approach to investigate the performance of several different methods designed to reduce the bias of the estimated coefficients for dynamic panel data models estimated with the longer, narrower panels typical of macro data. We find that the bias of the least squares dummy...

A problematic outcome of the cross sectional study of convergence is that developing economies are often estimated to be above their steady states, implying that they have too much capital per worker. This paper introduces a method to estimate steady states in a way that can explain this...

Since little is known about the degree of bias in estimated fixed effects in panel data models, we run Monte Carlo simulations on a range of different estimators. We find that Anderson-Hsiao IV, Kiviet's bias-corrected LSDV and GMM estimators all perform well in both short and long panels....

This paper aims to test the conjecture advanced in a recent work by Bianchi and Menegatti (2007) that usual !convergence panel regressions may produce biased evidence, due to their inability to distinguish between actual catching-up across countries and decreasing growth rates over time within...

This paper examines the connections of structural change and economic openness to labour productivity growth using a panel data set of 41 countries in sub-Saharan Africa for the period 1991-2015. A dynamic panel model of cross-country productivity growth is estimated using the least squares with...