(In)stability in the Dynamics of the Cross-Country Distribution of Income Per Capita
Davide Fiaschi, Paul Johnson

TL;DR
This paper investigates the stability and nature of cross-country income distribution dynamics from 1970 to 2019, finding periods of convergence clubs, a shift to a single convergence club, and subsequent instability.
Contribution
It provides empirical evidence on the time-homogeneity and first-order nature of income distribution dynamics, highlighting periods of stability and change over five decades.
Findings
1970-1995: bimodal distribution indicating convergence clubs
2000-2010: unimodal distribution suggesting a single convergence club
Post-2010: signs of non-convergent, unstable dynamics
Abstract
Using a panel of 102 countries from PWT 10.0 covering 1970-2019, we examine the veracity of the assumption that a time-homogeneous, first-order process describes the evolution of the cross-country distribution of per capita output, an assumption often made in studies of the convergence hypothesis employing the distribution dynamics approach pioneered by Quah (1993). To test homogeneity, we compare transition kernels estimated for different time periods and, for those periods exhibiting evidence of homogeneity, we test the first-order assumption using an implication of such a process's Chapman-Kolmogorov equations. Both tests require measurement of the distance between probability distributions which we do with several different metrics, employing bootstrap methods to assess the statistical significance of the observed distances. We find that the process was time-homogeneous and…
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Taxonomy
TopicsEconomic Growth and Productivity · Economic and Technological Innovation · Economic Growth and Development
