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Converging to Converge? A Comment

Authors: Daron Acemoglu; Carlos Molina;

Converging to Converge? A Comment

Abstract

Kremer, Willis, and You (2021) revisit cross-country convergence patterns over the last six decades. They provide evidence that the lack of convergence that applied early in the sample has now been replaced by modest convergence. They also argue this relationship is driven by convergence in various determinants of economic growth across countries and a flattening of the relationship between these determinants and growth. Although the patterns documented by the authors are intriguing, our reanalysis finds that these results are driven by the lack of country fixed effects controlling for unobserved determinants of GDP per capita across countries. We show theoretically and empirically that failure to include country fixed effects will create a bias in convergence coeffcients towards zero and this bias can be time-varying, even when the underlying country-level parameters are stable. These results are relevant not just for the current paper, but for the convergence literature more generally. Our reanalysis finds no evidence of major changes in patterns of convergence and, more importantly, no flattening of the relationship between institutional variables and economic growth. Focusing on democracy, we show that this variable's impact continues to be precisely estimated and if anything a little larger than at the beginning of the sample. Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    11
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
bronze