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Using Pseudo-Panels to Measure Income Mobility in Latin America

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Author Info
Hugo Ñopo ()
Giorgina Pizzolitto
José Cuesta

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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, to a lesser degree, education of the household head and dwelling characteristics.

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Paper provided by Inter-American Development Bank, Research Department in its series RES Working Papers with number 4557.

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Date of creation: Nov 2007
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Handle: RePEc:idb:wpaper:4557

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  8. 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. [Downloadable!] (restricted)
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  10. McKenzie, D.J.David J., 2004. "Asymptotic theory for heterogeneous dynamic pseudo-panels," Journal of Econometrics, Elsevier, vol. 120(2), pages 235-262, June. [Downloadable!] (restricted)
  11. Antman, Francisca & McKenzie, David J., 2005. "Earnings mobility and measurement error : a pseudo-panel approach," Policy Research Working Paper Series 3745, The World Bank. [Downloadable!]
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  12. Cuesta, Jose, 2006. "The distributive consequuences of machismo: A simulation analysis of intrahousehold allocation," MPRA Paper 11243, University Library of Munich, Germany. [Downloadable!]
  13. Branko Milanovic, 2006. "Global Income Inequality: What It Is And Why It Matters?," Working Papers 26, United Nations, Department of Economics and Social Affairs. [Downloadable!]
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  14. Dolores Collado, M., 1997. "Estimating dynamic models from time series of independent cross-sections," Journal of Econometrics, Elsevier, vol. 82(1), pages 37-62. [Downloadable!] (restricted)
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