Estimating Long Term Earnings Mobility in Argentina with Pseudo-Panel Data*
DOI:
https://doi.org/10.4067/S0718-88702010000200004Keywords:
Argentina, dynamic pseudo-panel, earnings mobility, measurement errorAbstract
Applying a dynamic pseudo-panel to the earnings data in Argentina, the present paper estimates the long-term earnings mobility in the period 1985- 2004. The results obtained herein show some earnings mobility over the long term in Argentina for male occupied workers. The results also suggest that the labor market in Argentina does not substantially contribute to the acceleration of the individual’ earnings level recovery after a negative shock.Downloads
References
Albornoz, F., & Menéndez, M. (2007). Income dynamics in Argentina during the 1990s: "Mobiles" did change over time. Económica, 0(1–2), 21–52.
Antman, F., & McKenzie, D. (2007). Earnings mobility and measurement error: A pseudo-panel approach. Economic Development and Cultural Change, 56(1), 125–161. https://doi.org/10.1086/520561
Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58(2), 277–297. https://doi.org/10.2307/2297968
Ashenfelter, O., Deaton, A., & Solon, G. (1986). Collecting panel data in developing countries: Does it make sense? (LSMS Working Paper No. 23). World Bank Living Standards Measurement Study.
Barro, R. J., & Sala-i-Martin, X. (1999). Economic growth. The MIT Press.
Bourguignon, F., & Goh, C. (2004). Estimating individual vulnerability to poverty with pseudo-panel data (World Bank Policy Research Working Paper No. 371). World Bank.
Bowlus, A. J., & Robin, J. (2004). Twenty years of rising inequality in U.S. lifetime labour income values. Review of Economic Studies, 71, 709–742.
Browning, M., Deaton, A., & Irish, M. (1985). A profitable approach to labor supply and commodity demand over the life-cycle. Econometrica, 53(3), 503–544. https://doi.org/10.2307/1911653
Calonico, S. (2006). Pseudo-panel analysis of earnings dynamics and mobility in Latin America [Working paper]. Research Department, Inter-American Development Bank.
Collado, M. D. (1997). Estimating dynamic models from time series of independent cross-sections. Journal of Econometrics, 82(1), 37–62. https://doi.org/10.1016/s0304-4076(97)00015-8
Cuesta, J., Ñopo, H., & Pizzolitto, G. (2007). Using pseudo-panels to measure income mobility in Latin America [Conference presentation]. 2007 LACEA-LAMES Conference.
Deaton, A. S. (1985). Panel data from time series of cross-sections. Journal of Econometrics, 30(1-2), 109–126. https://doi.org/10.1016/0304-4076(85)90134-4
Deaton, A. S. (1997). The analysis of household surveys: A microeconometric approach to development policy. Johns Hopkins University Press. https://doi.org/10.1596/0-8018-5254-4
Deaton, A. S., & Paxson, C. (1994). Intertemporal choice and inequality. The Journal of Political Economy, 102(3), 437–467. https://doi.org/10.1086/261941
Fields, G. S. (2005). The many facets of economic mobility [Unpublished manuscript]. Cornell University. https://doi.org/10.1057/9780230625594_6
Fields, G. S., Duval Hernández, R., Freije Rodríguez, S., & Sánchez Puerta, M. L. (2006). Earnings mobility in Latin America [Unpublished manuscript]. Cornell University.
Fields, G. S., Duval Hernández, R., Freije Rodríguez, S., & Sánchez Puerta, M. L. (2007a). Intragenerational income mobility. Economía, 7(2), 101–154. https://doi.org/10.1353/eco.2007.0018
Fields, G. S., Duval Hernández, R., Freije Rodríguez, S., & Sánchez Puerta, M. L. (2007b). Earnings mobility in Argentina, Mexico and Venezuela: Testing the divergence of earnings and the symmetry of mobility hypotheses (IZA Discussion Paper No. 3184). Institute for the Study of Labor.
Fields, G. S., & Sánchez Puerta, M. L. (2006). Earnings mobility in urban Argentina [Unpublished manuscript]. World Bank.
Fields, G. S., & Sánchez Puerta, M. L. (2008). Earnings mobility in times of growth and decline: Argentina from 1996 to 2003 [Unpublished manuscript]. Cornell University.
Gasparini, L., Gutiérrez, F., & Tornarolli, L. (2007). Growth and income poverty in Latin America and the Caribbean: Evidence from household surveys. Review of Income and Wealth, 53(2), 209–245. https://doi.org/10.1111/j.1475-4991.2007.00231.x
Gasparini, L., Marchionni, M., & Sosa Escudero, W. (2001). Distribución del ingreso en la Argentina: perspectivas y efectos sobre el bienestar [Income distribution in Argentina: Perspectives and effects on well-being]. Fundación ARCOR.
Gasparini, L., Marchionni, M., & Sosa Escudero, W. (2005). Characterization of inequality changes through microeconometric decompositions: The case of Greater Buenos Aires. In F. Bourguignon, F. Ferreira, & N. Lustig (Eds.), The microeconomics of income distribution dynamics in East Asia and Latin America (pp. 47–81). World Bank; Oxford University Press.
Girma, S. (2000). A quasi-differencing approach to dynamic modeling from a time series of independent cross-sections. Journal of Econometrics, 98(2), 365–383. https://doi.org/10.1016/s0304-4076(00)00024-5
Gottschalk, P. (1997). Inequality, income growth, and mobility: The basic facts. The Journal of Economic Perspectives, 11(2), 21–40. https://doi.org/10.1257/jep.11.2.21
Gottschalk, P., & Spolaore, E. (2002). On the evaluation of economic mobility. Review of Economic Studies, 69(1), 191–208. https://doi.org/10.1111/1467-937x.00203
Hart, P. E. (1976). The dynamics of earnings, 1963–1973. The Economic Journal, 86(343), 551–565. https://doi.org/10.2307/2230799
Jarvis, S., & Jenkins, S. (1998). How much income mobility is there in Britain? The Economic Journal, 108(447), 428–443.
Jianakoplos, N. A., & Menchik, P. L. (1997). Wealth mobility. The Review of Economics and Statistics, 79(1), 18–31. https://doi.org/10.1162/003465397750160167
Lillard, L., & Willis, R. J. (1978). Dynamic aspects of earnings mobility. Econometrica, 46(5), 985–1012.
MaCurdy, T. (1982). The use of time series processes to model the error structure of earnings in a longitudinal data analysis. Journal of Econometrics, 18(1), 83–114. https://doi.org/10.1016/0304-4076(82)90096-3
Margot, D. (2001). Rendimientos a la educación en Argentina: un análisis de cohortes [Returns to education in Argentina: A cohort analysis] (Documento de Trabajo No. 33). Universidad Nacional de La Plata, Departamento de Economía.
Mazumder, B. (2005). The apple falls even closer to the tree than we thought: New and revised estimates of the intergenerational inheritance of earnings. In S. Bowles, H. Gintis, & M. Osborne (Eds.), Unequal chances: Family background and economic success (p. 80). Russell Sage Foundation.
McKenzie, D. J. (2004). Asymptotic theory for heterogeneous dynamic pseudo-panels. Journal of Econometrics, 120(2), 235–262. https://doi.org/10.1016/s0304-4076(03)00213-6
Moffitt, R. (1993). Identification and estimation of dynamic models with a time series of repeated cross-sections. Journal of Econometrics, 59(1), 99–124. https://doi.org/10.1016/0304-4076(93)90041-3
Schiller, B. (1977). Relative earnings mobility in the United States. The American Economic Review, 67(5), 926–941.
Verbeek, M., & Nijman, T. (1992). Can cohort data be treated as genuine panel data? Empirical Economics, 17, 9–23. https://doi.org/10.1007/978-3-642-50127-2_2
Verbeek, M., & Vella, F. (2005). Estimating dynamic models from repeated cross-sections. Journal of Econometrics, 127(1), 83–102. https://doi.org/10.1016/j.jeconom.2004.06.004
Winkler, H. (2004). Estructura de edades de la fuerza laboral y distribución del ingreso: un análisis empírico para la Argentina [Age structure of the labor force and income distribution: An empirical analysis for Argentina] (Documento de Trabajo No. 6). CEDLAS, Universidad Nacional de La Plata.
Wooldridge, J. M. (2002). Econometric analysis of cross section and panel data. MIT Press.
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