A decomposition method to evaluate the ‘paradox of progress’, with evidence for Argentina
The ‘paradox of progress’ is an empirical regularity that associates more education with larger income inequality. Two driving and competing factors behind this phenomenon are the convexity of the ‘Mincer equation’ (that links wages and education) and the heterogeneity in the returns to education, a...
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Veröffentlicht in: | Journal of economic inequality 2024-06, Vol.22 (2), p.453-472 |
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creator | Alejo, Javier Gasparini, Leonardo Montes-Rojas, Gabriel Sosa-Escudero, Walter |
description | The ‘paradox of progress’ is an empirical regularity that associates more education with larger income inequality. Two driving and competing factors behind this phenomenon are the convexity of the ‘Mincer equation’ (that links wages and education) and the heterogeneity in the returns to education, as captured by quantile regressions. We propose a joint least-squares and quantile regression statistical framework to derive a decomposition to evaluate the relative contribution of each explanation. We apply the proposed decomposition strategy to the case of Argentina 1992 to 2015. |
doi_str_mv | 10.1007/s10888-023-09601-w |
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subjects | Business cycles Capital stock Decomposition Development Economics Econometrics Economic Growth Economics Economics and Finance Human capital Hypotheses Inequality International Economics Labor market Political Science Public Finance Skilled workers Technological change Wage differential Wages & salaries |
title | A decomposition method to evaluate the ‘paradox of progress’, with evidence for Argentina |
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