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On the Nature of Income Inequality Across Nations

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Listed:
  • Pedro Cavalcanti Ferreira

    (Fundacao Getulio Vargas)

  • Samuel deAbreu Pessoa

    (Getulio Vargas Foundation)

  • Joao Victor Issler

    (Getulio Vargas Foundation)

Abstract

In this paper, we investigate the nature of income inequality across nations by first estimating, testing, and distinguishing between two types of aggregate production functions: the extended neoclassical model and a mincerian formulation of schooling-returns to skills. Next, given our panel-data estimates, we proceed in decomposing the variance of the (log) level of output per-worker in 1985 into that of three distinct factors: productivity, human capital, and the dynamic incentives to accumulate capital. Finally, we classify a group of 95 countries according to their relative position (above or below average) for each of these factors. The picture that emerges from these last two exercises is one where countries grew in the past for different reasons, which should be considered for policy design. Although there is not a single-factor explanation for the difference in output per-worker across nations, it seems that productivity differences can explain a considerable portion of income inequality, followed second by dynamic inefficiencies and third by human capital accumulation.

Suggested Citation

  • Pedro Cavalcanti Ferreira & Samuel deAbreu Pessoa & Joao Victor Issler, 2000. "On the Nature of Income Inequality Across Nations," Econometric Society World Congress 2000 Contributed Papers 1487, Econometric Society.
  • Handle: RePEc:ecm:wc2000:1487
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    References listed on IDEAS

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    Cited by:

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    2. Pedro Cavalcanti Ferreira & Osmani Teixeira de Carvalho Guillén, 2002. "Estrutura Competitiva, Produtividade Industrial e Liberação Comercial no Brasil," Working Papers Series 44, Central Bank of Brazil, Research Department.
    3. Betarelli, Admir Antonio & Domingues, Edson Paulo & Hewings, Geoffrey John Dennis, 2020. "Transport policy, rail freight sector and market structure: The economic effects in Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 1-23.
    4. Barossi-Filho, Milton & Goncalves Silva, Ricardo & Diniz, Eliezer Martins, 2005. "The empirics of the Solow Growth Model: Long-term evidence," Journal of Applied Economics, Universidad del CEMA, vol. 8(1), pages 1-21, May.
    5. Proque, Andressa Lemes & Betarelli Junior, Admir Antonio & Perobelli, Fernando Salgueiro, 2022. "Fuel tax, cross subsidy and transport: Assessing the effects on income and consumption distribution in Brazil," Research in Transportation Economics, Elsevier, vol. 95(C).
    6. Cysne, Rubens Penha, 2000. "A note on an application of Arrow's theorem: sufficient conditions for Lucas' inflation and welfare," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 397, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    7. Samuel de Abreu Pessôa, 2001. "Um Modelo de Acumulação de Capital Físico e Humano: Um Diálogo Com a Economia do Trabalho," Anais do XXIX Encontro Nacional de Economia [Proceedings of the 29th Brazilian Economics Meeting] 035, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    8. Jess Enrique Morales Pi?ro, 2004. "Labour Market Frictions, Social Policies, and Barriers to Technology Adoption," UFAE and IAE Working Papers 633.04, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).

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