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Using Pseudo-Panels to Measure Income Mobility in Latin America

Author

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  • Cuesta, Jose

    (Inter-American Development Bank)

  • Nopo, Hugo R.

    (World Bank)

  • Pizzolitto, Georgina

    (World Bank)

Abstract

This paper presents a comparative overview of mobility patterns in 14 Latin American countries between 1992 and 2003. Using three alternative econometric techniques on constructed pseudo-panels, the paper provides a set of estimators for the traditional notion of income mobility as well as for mobility around extreme and moderate poverty lines. The estimates suggest very high levels of time-dependent unconditional immobility for the Region. However, the introduction of socioeconomic and personal factors reduces the estimate of income immobility by around 30 percent. There are also large variations in country-specific income mobility (estimated to explain some additional 10 percent of inter-temporal income variation). Analyzing the determinants of changes in poverty incidence within cohorts revealed statistically significant roles for age, gender and education of the household head, the latter subject to distinctive effects across levels of attainment and transition in and out of poverty.

Suggested Citation

  • Cuesta, Jose & Nopo, Hugo R. & Pizzolitto, Georgina, 2011. "Using Pseudo-Panels to Measure Income Mobility in Latin America," IZA Discussion Papers 5449, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp5449
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    1. Verbeek, Marno & Vella, Francis, 2005. "Estimating dynamic models from repeated cross-sections," Journal of Econometrics, Elsevier, vol. 127(1), pages 83-102, July.
    2. Saavedra-Chanduví, Jaime & Molinas, José R. & De Barros, Ricardo Paes & Ferreira, Francisco H. G., 2009. "Measuring Inequality of Opportunities in Latin America and the Caribbean," IDB Publications (Books), Inter-American Development Bank, number 361.
    3. Ana Corbacho & Mercedes Garcia‐Escribano & Gabriela Inchauste, 2007. "Argentina: Macroeconomic Crisis and Household Vulnerability," Review of Development Economics, Wiley Blackwell, vol. 11(1), pages 92-106, February.
    4. Lillard, Lee A & Willis, Robert J, 1978. "Dynamic Aspects of Earning Mobility," Econometrica, Econometric Society, vol. 46(5), pages 985-1012, September.
    5. Moffitt, Robert, 1993. "Identification and estimation of dynamic models with a time series of repeated cross-sections," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 99-123, September.
    6. Cristóbal Huneeus & Andrea Repetto, 2005. "The Dynamics of Earnings in Chile," Central Banking, Analysis, and Economic Policies Book Series, in: Jorge Restrepo & Andrea Tokman R. & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series Edi (ed.),Labor Markets and Institutions, edition 1, volume 8, chapter 12, pages 383-410, Central Bank of Chile.
    7. Denis Cogneau & Jérémie Gignoux, 2005. "Earnings Inequalities and Educational Mobility in Brazil over Two Decades," Ibero America Institute for Econ. Research (IAI) Discussion Papers 121, Ibero-America Institute for Economic Research.
    8. Jérémie Gignoux & Denis Cogneau, 2009. "Earnings Inequality and Educational Mobility in Brazil over two Decades," PSE-Ecole d'économie de Paris (Postprint) halshs-00825308, HAL.
    9. Branko Milanovic, 2006. "Global Income Inequality," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 7(1), pages 131-157, January.
    10. Peter Gottschalk, 1997. "Inequality, Income Growth, and Mobility: The Basic Facts," Journal of Economic Perspectives, American Economic Association, vol. 11(2), pages 21-40, Spring.
    11. Branko Milanovic, 2005. "Global Income Inequality: What It Is And Why It Matters?," HEW 0512001, University Library of Munich, Germany.
    12. 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.
    13. McKenzie, D.J.David J., 2004. "Asymptotic theory for heterogeneous dynamic pseudo-panels," Journal of Econometrics, Elsevier, vol. 120(2), pages 235-262, June.
    14. Alejandro Gaviria, 2006. "Movilidad Social Y Preferencias Por Redistribución En América Latina," Documentos CEDE 3261, Universidad de los Andes, Facultad de Economía, CEDE.
    15. Ravallion, Martin & Chen, Shaohua, 2003. "Measuring pro-poor growth," Economics Letters, Elsevier, vol. 78(1), pages 93-99, January.
    16. Facundo Albornoz & Marta Menéndez, 2007. "Income Dynamics in Argentina During the 1990’s: ‘Mobiles’ Did Change Over Time," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 0(1-2), pages 21-52, January-D.
    17. Girma, Sourafel, 2000. "A quasi-differencing approach to dynamic modelling from a time series of independent cross-sections," Journal of Econometrics, Elsevier, vol. 98(2), pages 365-383, October.
    18. Michael Grimm, 2007. "Removing the anonymity axiom in assessing pro-poor growth," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 5(2), pages 179-197, August.
    19. Dolores Collado, M., 1997. "Estimating dynamic models from time series of independent cross-sections," Journal of Econometrics, Elsevier, vol. 82(1), pages 37-62.
    20. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    21. Francisca Antman & David J. McKenzie, 2007. "Earnings Mobility and Measurement Error: A Pseudo-Panel Approach," Economic Development and Cultural Change, University of Chicago Press, vol. 56(1), pages 125-161, October.
    22. Cuesta, Jose, 2006. "The distributive consequuences of machismo: A simulation analysis of intrahousehold allocation," MPRA Paper 11243, University Library of Munich, Germany.
    23. Christopher Scott, 2000. "Mixed fortunes: A study of poverty mobility among small farm households in Chile, 1968-86," Journal of Development Studies, Taylor & Francis Journals, vol. 36(6), pages 155-180.
    24. Browning, Martin & Deaton, Angus & Irish, Margaret, 1985. "A Profitable Approach to Labor Supply and Commodity Demands over the Life-Cycle," Econometrica, Econometric Society, vol. 53(3), pages 503-543, May.
    25. repec:dau:papers:123456789/4402 is not listed on IDEAS
    26. Bourguignon, Francois & Goh, Chor-ching & Kim, Dae Il, 2004. "Estimating individual vulnerability to poverty with pseudo-panel data," Policy Research Working Paper Series 3375, The World Bank.
    27. Stephan Klasen & Felicitas Nowak-Lehmann (ed.), 2009. "Poverty, Inequality, and Policy in Latin America," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262113244, December.
    28. Fields, Gary S & Ok, Efe A, 1999. "Measuring Movement of Incomes," Economica, London School of Economics and Political Science, vol. 66(264), pages 455-471, November.
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    More about this item

    Keywords

    Latin America; poverty; income mobility; pseudo-panels;
    All these keywords.

    JEL classification:

    • D3 - Microeconomics - - Distribution
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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