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来源类型Working Paper
规范类型报告
DOI10.3386/w29484
来源IDWorking Paper 29484
Converging to Convergence
Michael Kremer; Jack Willis; Yang You
发表日期2021-11-15
出版年2021
语种英语
摘要Empirical tests in the 1990s found little evidence of poor countries catching up with rich - unconditional convergence - since the 1960s, and divergence over longer periods. This stylized fact spurred several developments in growth theory, including AK models, poverty trap models, and the concept of convergence conditional on determinants of steady-state income. We revisit these findings, using the subsequent 25 years as an out-of-sample test, and document a trend towards unconditional convergence since 1990 and convergence since 2000, driven by both faster catch-up growth and slower growth of the frontier. During the same period, many of the correlates of growth - human capital, policies, institutions, and culture - also converged substantially and moved in the direction associated with higher income. Were these changes related? Using the omitted variable bias formula, we decompose the gap between unconditional and conditional convergence as the product of two cross-sectional slopes. First, correlate-income slopes, which remained largely stable since 1990. Second, growth-correlate slopes controlling for income - the coefficients of growth regressions - which remained stable for fundamentals of the Solow model (investment rate, population growth, and human capital) but which flattened substantially for other correlates, leading unconditional convergence to converge towards conditional convergence.
主题Macroeconomics ; Development and Growth ; Development ; Growth and Productivity
URLhttps://www.nber.org/papers/w29484
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/587158
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GB/T 7714
Michael Kremer,Jack Willis,Yang You. Converging to Convergence. 2021.
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