Statistical inference for testing Gini coefficients: an application for Colombia

This paper uses Colombian household survey data collected over the period 1984-2005 to estimate Gini coe¢ cients along with their corresponding standard errors. We Önd a statistically signiÖcant increase in wage income inequality following the adoption of the liberalisation measures of the early 199...

Descripción completa

Detalles Bibliográficos
Autores Principales: Gamboa Niño, Luis Fernando, Andrés Felipe, García, Otero, Jesus
Formato: Documento de trabajo (Working Paper)
Lenguaje:Español (Spanish)
Publicado: Universidad del Rosario 2009
Materias:
Acceso en línea:http://repository.urosario.edu.co/handle/10336/10845
id ir-10336-10845
recordtype dspace
institution EdocUR - Universidad del Rosario
collection DSpace
language Español (Spanish)
topic Inequality
Gini coefficient
Bootstrap
Colombia
Macroeconomía & temas relacionados
Distribución del ingreso
Estadística matemática
Desigualdad económica
Bootstrap (Estadística)
spellingShingle Inequality
Gini coefficient
Bootstrap
Colombia
Macroeconomía & temas relacionados
Distribución del ingreso
Estadística matemática
Desigualdad económica
Bootstrap (Estadística)
Gamboa Niño, Luis Fernando
Andrés Felipe, García
Otero, Jesus
Statistical inference for testing Gini coefficients: an application for Colombia
description This paper uses Colombian household survey data collected over the period 1984-2005 to estimate Gini coe¢ cients along with their corresponding standard errors. We Önd a statistically signiÖcant increase in wage income inequality following the adoption of the liberalisation measures of the early 1990s, and mixed evidence during the recovery years that followed the economic recession of the late 1990s. We also Önd that in several cases the observed di§erences in the Gini coe¢ cients across cities have not been statistically signiÖcant.
format Documento de trabajo (Working Paper)
author Gamboa Niño, Luis Fernando
Andrés Felipe, García
Otero, Jesus
author_facet Gamboa Niño, Luis Fernando
Andrés Felipe, García
Otero, Jesus
author_sort Gamboa Niño, Luis Fernando
title Statistical inference for testing Gini coefficients: an application for Colombia
title_short Statistical inference for testing Gini coefficients: an application for Colombia
title_full Statistical inference for testing Gini coefficients: an application for Colombia
title_fullStr Statistical inference for testing Gini coefficients: an application for Colombia
title_full_unstemmed Statistical inference for testing Gini coefficients: an application for Colombia
title_sort statistical inference for testing gini coefficients: an application for colombia
publisher Universidad del Rosario
publishDate 2009
url http://repository.urosario.edu.co/handle/10336/10845
_version_ 1645141514465050624
spelling ir-10336-108452019-09-19T12:37:01Z Statistical inference for testing Gini coefficients: an application for Colombia Gamboa Niño, Luis Fernando Andrés Felipe, García Otero, Jesus Inequality Gini coefficient Bootstrap Colombia Macroeconomía & temas relacionados Distribución del ingreso Estadística matemática Desigualdad económica Bootstrap (Estadística) This paper uses Colombian household survey data collected over the period 1984-2005 to estimate Gini coe¢ cients along with their corresponding standard errors. We Önd a statistically signiÖcant increase in wage income inequality following the adoption of the liberalisation measures of the early 1990s, and mixed evidence during the recovery years that followed the economic recession of the late 1990s. We also Önd that in several cases the observed di§erences in the Gini coe¢ cients across cities have not been statistically signiÖcant. 2009-06 2015-09-21T15:19:29Z info:eu-repo/semantics/workingPaper info:eu-repo/semantics/acceptedVersion Gamboa Niño, L. F., Andrés Felipe, G., & Otero Cardona, J. G. (2009). Statistical inference for testing Gini coefficients: an application for colombia. Bogotá: Universidad del Rosario, Facultad de Economía. http://repository.urosario.edu.co/handle/10336/10845 Universidad del Rosario, Facultad de Economía spa info:eu-repo/semantics/openAccess application/pdf Universidad del Rosario Facultad de Economía instname:Universidad del Rosario reponame:Repositorio Institucional EdocUR instname:Universidad del Rosario Baer, W. and W. Maloney (1997). Neoliberalism and income distribution in Latin America. World Development 25, 311ñ327. Berry, A. and M. Urrutia (1976). Income Distribution in Colombia. New Haven: Yale University Press. Arango, L., A. García, and C. Posada (2006). La metodología de la encuesta continua de hogares y el empalme de la series del mercado laboral urbano de Colombia. Borradores de Economía No 410, Banco de la República Birchenall, J. (2001). Income distribution, human capital and economic growth in Colombia. Journal of Development Economics 66, 271ñ287. Birchenall, J. (2007). Income distribution and macroeconomics in Colombia. Journal of Income Distribution 16, 6ñ24. Cunningham , W., J. P. Jacobsen (2008). Earnings inequality within and across gender, racial, and ethnic groups in four Latin American countries. Policy Research Working Paper Series 4591. The World Bank. Davidson, R. (2009). Reliable inference for the Gini index. Journal of Econometrics, Journal of Econometrics 150, 30ñ40. Davidson, R. and J. G. MacKinnon (1999).Econometric Theory and Methods. Oxford: Oxford University Press. ECLAC (2006). Social panorama of Latin America. Retrieved on May 12, 2009 from http://www.eclac.org/publicaciones/. ECLAC (2007). Social panorama of Latin America. Retrieved on May 12, 2009 from http://www.eclac.org/publicaciones/. ECLAC (2008). Social panorama of Latin America. Retrieved on May 12, 2009 from http://www.eclac.org/publicaciones/. Giles, D. (2004). Calculating a standard error for the Gini coe¢ cient: Some further results. Oxford Bulletin of Economics and Statistics 66, 425ñ433. Giles, D. (2006). A cautionary note on estimating the standard error of the Gini index of inequality: Comment. Oxford Bulletin of Economics and Statistics 68, 395ñ396. Lorenz, M. (1905). Methods of measuring the concentration of wealth. Publications of the American Statistical Association 9, 209ñ219. Modarres, R. and J. Gastwirth (2006). A cautionary note on estimating the standard error of the Gini index of inequality. Oxford Bulletin of Economics and Statistics 68, 385ñ390. Ocampo, J. A., F. S·nchez, and C. E. Tovar (2000). The labour market and income distribution in Colombia in the 1990s. CEPAL Review 72, 53ñ77. Ogwang, T. (2000). A convenient method of computing the Gini index and its standard error. Oxford Bulletin of Economics and Statistics 62, 123ñ129. Ogwang, T. (2004). Calculating a standard error for the Gini coe¢ cient: Some further results: Reply. Oxford Bulletin of Economics and Statistics 66, 435ñ437. Sen, A. (1973). On Economic Inequality. Oxford: Clarendon Press. Urrutia, M. (1994). Colombia. In J. Williamson (Ed.), The Political Economy of Policy Reform, pp. 285ñ315. Washington, DC: Institute for International Economics. VÈlez, C. E. (1995). Gasto Social Y Desigualdad. Bogot·: Departamento Nacional de PlaneaciÛn. Editorial Tercer Mundo Editores. World Bank (2005). World Development Report 2006: Equity and Development. New York NY: Oxford University Press. Zheng, B. and B. J. Cushing (2001). Statistical inference for testing inequality indices with dependent samples. Journal of Econometrics 101, 315ñ335.
score 12,131701