This paper estimates determinants of long-run growth rates of GDP per capita in a cross section of countries. We propose a novel Measurement Error Model Averaging (MEMA) approach that accounts for measurement error in international income data as well as model uncertainty. Estimating the model using eight vintages of the Penn World Tables (PWT) together with other proposed growth determinants, we identify 18 variables related to economic growth. The results are robust to allowing for outliers in the form of heteroscedastic model errors.
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机译：本文估算了各个国家/地区人均GDP长期增长率的决定因素。我们提出了一种新颖的计量误差模型平均（MEMA）方法，该方法可解决国际收入数据中的计量误差以及模型不确定性。使用Penn World Tables（PWT）的八个年份以及其他拟议的增长决定因素估算模型，我们确定了18个与经济增长相关的变量。该结果对于允许以异方差模型误差形式出现的异常值是可靠的。
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