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Efforts and inequality of opportunities in the Bolivian labor market

Author

Listed:
  • Cristian Ricardo Nogales Carvajal

    (Centro de Investigaciones Económicas y Empresariales, Universidad Privada Boliviana)

  • Fátima Rico Encinas

    (Centro de Investigaciones Económicas y Empresariales, Universidad Privada Boliviana)

Abstract

The equitable distribution of income and the level of human development are key differentiating characteristics of developed and developing countries. In this paper, efforts and other variables related to circumstances of individuals are quantified and simultaneously analyzed alongside traditional determinants of income in order to provide novel explanations of inequality among workers in Bolivia. Our contribution is the estimation and analysis of traditional Mincer equations combined with John Roemer’s Inequality of Opportunity approach. We find that efforts are important determinants of wage inequality in the country as well as regional development and informality. Thus we separate the portion of wage inequality that may be attributed to situations that are beyond the control of individuals and can be attributed to willingly taken decisions. Microsimulations show that it is possible to reduce inequality up to 21 percentage points if people are given chances to make similar efforts to improve their labor outcomes.

Suggested Citation

  • Cristian Ricardo Nogales Carvajal & Fátima Rico Encinas, 2015. "Efforts and inequality of opportunities in the Bolivian labor market," Investigación & Desarrollo, Universidad Privada Boliviana, vol. 2(15), pages 5-14.
    • Handle: RePEc:iad:wpaper:0115
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    References listed on IDEAS

    as
    1. Francisco H. G. Ferreira & Jérémie Gignoux, 2014. "The Measurement of Educational Inequality: Achievement and Opportunity," The World Bank Economic Review, World Bank, vol. 28(2), pages 210-246.
    2. Javier Núñez & Andrea Tartakowsky, 2007. "Inequality of outcomes vs. inequality of opportunities in a developing country. An exploratory analysis for Chile," Estudios de Economia, University of Chile, Department of Economics, vol. 34(2 Year 20), pages 185-202, December.
    3. Fran??ois Bourguignon & Francisco H.G. Ferreira & Marta Men??ndez, 2003. "Inequality of Outcomes and Inequality of Opportunities in Brazil," William Davidson Institute Working Papers Series 2003-630, William Davidson Institute at the University of Michigan.
    4. repec:dau:papers:123456789/1552 is not listed on IDEAS
    5. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    6. Miles Corak, 2013. "Income Inequality, Equality of Opportunity, and Intergenerational Mobility," Journal of Economic Perspectives, American Economic Association, vol. 27(3), pages 79-102, Summer.
    7. repec:hal:pseose:halshs-00646594 is not listed on IDEAS
    8. Becker, Gary S, 1985. "Human Capital, Effort, and the Sexual Division of Labor," Journal of Labor Economics, University of Chicago Press, vol. 3(1), pages 33-58, January.
    9. Pedro Teixeira, 2014. "Gary Becker’s early work on human capital – collaborations and distinctiveness," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-20, December.
    10. Heckman, James J. & Lochner, Lance J. & Todd, Petra E., 2006. "Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 7, pages 307-458, Elsevier.
    11. François Bourguignon & Francisco H. G. Ferreira & Marta Menéndez, 2007. "Inequality Of Opportunity In Brazil," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 53(4), pages 585-618, December.
    12. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    13. Denis Cogneau & Jérémie Gignoux, 2005. "Earnings inequalities and educational mobility in Brazil over two decades," Working Papers DT/2005/03, DIAL (Développement, Institutions et Mondialisation).
    14. Jacob A. Mincer, 1974. "The Human Capital Earnings Function," NBER Chapters, in: Schooling, Experience, and Earnings, pages 83-96, National Bureau of Economic Research, Inc.
    15. Jacob Mincer, 1975. "Education, Experience, and the Distribution of Earnings and Employment: An Overview," NBER Chapters, in: Education, Income, and Human Behavior, pages 71-94, National Bureau of Economic Research, Inc.
    16. Jaya Krishnakumar & A. Nagar, 2008. "On Exact Statistical Properties of Multidimensional Indices Based on Principal Components, Factor Analysis, MIMIC and Structural Equation Models," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 86(3), pages 481-496, May.
    17. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    18. Gary S. Becker, 1994. "Investment in Human Capital: Effects on Earnings," NBER Chapters, in: Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, Third Edition, pages 29-58, National Bureau of Economic Research, Inc.
    19. Gary S. Becker, 1975. "Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education, Second Edition," NBER Books, National Bureau of Economic Research, Inc, number beck75-1, March.
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    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General

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