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Moving in and out of poverty in Mexico: What can we learn from pseudo-panel methods?

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  • Perez, Victor

Abstract

We estimate the magnitude of movements in and out of poverty in Mexico using repeated cross-sections between 1992 and 2012. Using the bootstrap, we explicitly compare results obtained with two pseudo-panel methods. Both pseudo-panel methods produce similar trends of mobility, the differences being mainly associated with the income correlation parameter. Calculations with true panel data show similar levels of mobility, despite data comparability issues. Our results suggest that an important fraction of the Mexican population moves in and out of poverty over short periods of time; and that the rate of poverty persistence seems to have declined considerably in the last decade. Substantial heterogeneity is found for specific groups of the population.

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  • Perez, Victor, 2015. "Moving in and out of poverty in Mexico: What can we learn from pseudo-panel methods?," ISER Working Paper Series 2015-16, Institute for Social and Economic Research.
    • Handle: RePEc:ese:iserwp:2015-16
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    1. Gong, Xiaodong & Van Soest, Arthur & Villagomez, Elizabeth, 2004. "Mobility in the Urban Labor Market: A Panel Data Analysis for Mexico," Economic Development and Cultural Change, University of Chicago Press, vol. 53(1), pages 1-36, October.
    2. Gong, Xiaodong & van Soest, Arthur, 2002. "Wage differentials and mobility in the urban labour market: a panel data analysis for Mexico," Labour Economics, Elsevier, vol. 9(4), pages 513-529, September.
    3. Ulrich Rendtel & Rolf Langeheine & Roland Berntsen, 1998. "The Estimation Of Poverty Dynamics Using Different Measurements Of Household Income," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 44(1), pages 81-98, March.
    4. 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.
    5. Olivier Bargain & Prudence Kwenda, 2011. "Earnings Structures, Informal Employment, And Self‐Employment: New Evidence From Brazil, Mexico, And South Africa," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57, pages 100-122, May.
    6. Gerardo Esquivel, 2011. "The Dynamics of Income Inequality in Mexico since NAFTA," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Fall 2011), pages 155-188, August.
    7. Ridder, Geert & Moffitt, Robert, 2007. "The Econometrics of Data Combination," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 75, Elsevier.
    8. Jorge Garza-Rodriguez & Martha Gonzalez-Martinez & Marcela Quiroga-Lozano & Luz Solis-Santoyo & Gabriela Yarto-Weber, 2010. "“Chronic and transient poverty in Mexico: 2002-2005”," Economics Bulletin, AccessEcon, vol. 30(4), pages 3188-3200.
    9. Francisca Antman & David McKenzie, 2007. "Poverty traps and nonlinear income dynamics with measurement error and individual heterogeneity," Journal of Development Studies, Taylor & Francis Journals, vol. 43(6), pages 1057-1083.
    10. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    11. Mr. Tom Krebs & Mr. Pravin Krishna & Mr. William Maloney, 2013. "Income Mobility and Welfare," IMF Working Papers 2013/024, International Monetary Fund.
    12. Fields, Gary S. & Duval Hernández, Robert & Freije-Rodriguez, Samuel & Sanchez Puerta, Maria Laura, 2007. "Earnings Mobility in Argentina, Mexico, and Venezuela: Testing the Divergence of Earnings and the Symmetry of Mobility Hypotheses," IZA Discussion Papers 3184, Institute of Labor Economics (IZA).
    13. Stefan Dercon & Joseph S. Shapiro, 2007. "Moving On, Staying Behind, Getting Lost: Lessons on poverty mobility from longitudinal data," Economics Series Working Papers GPRG-WPS-075, University of Oxford, Department of Economics.
    14. Härdle, Wolfgang & Horowitz, Joel L. & Kreiss, Jens-Peter, 2001. "Bootstrap methods for time series," SFB 373 Discussion Papers 2001,59, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    15. Russell Davidson & James MacKinnon, 2000. "Bootstrap tests: how many bootstraps?," Econometric Reviews, Taylor & Francis Journals, vol. 19(1), pages 55-68.
    16. Dang, Hai-Anh & Lanjouw, Peter & Luoto, Jill & McKenzie, David, 2014. "Using repeated cross-sections to explore movements into and out of poverty," Journal of Development Economics, Elsevier, vol. 107(C), pages 112-128.
    17. Jose Cuesta & Hugo Ñopo & Georgina Pizzolitto, 2011. "Using Pseudo‐Panels To Measure Income Mobility In Latin America," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(2), pages 224-246, June.
    18. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    19. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    20. Mckay, Andrew & Lawson, David, 2003. "Assessing the Extent and Nature of Chronic Poverty in Low Income Countries: Issues and Evidence," World Development, Elsevier, vol. 31(3), pages 425-439, March.
    21. Horowitz, Joel L., 2001. "The bootstrap and hypothesis tests in econometrics," Journal of Econometrics, Elsevier, vol. 100(1), pages 37-40, January.
    22. Horowitz, Joel L., 2001. "The Bootstrap," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 52, pages 3159-3228, Elsevier.
    23. 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.
    24. Francisco H.G. Ferreira & Julian Messina & Jamele Rigolini & Luis-Felipe López-Calva & Maria Ana Lugo & Renos Vakis, 2013. "Economic Mobility and the Rise of the Latin American Middle Class [La movilidad económica y el crecimiento de la clase media en América Latina]," World Bank Publications - Books, The World Bank Group, number 11858.
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    2. Brian Colgan, 2023. "EU-SILC and the potential for synthetic panel estimates," Empirical Economics, Springer, vol. 64(3), pages 1247-1280, March.
    3. Rongen,Gerton & Binti Ali Ahmad,Zainab & Lanjouw,Peter F. & Simler,Kenneth, 2022. "The Interplay of Regional and Ethnic Inequalities in Malaysian Poverty Dynamics," Policy Research Working Paper Series 9898, The World Bank.

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