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...

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Tipo de recurso:
Fecha de publicación:
2009
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
spa
OAI Identifier:
oai:repository.urosario.edu.co:10336/10845
Acceso en línea:
https://doi.org/10.48713/10336_10845
http://repository.urosario.edu.co/handle/10336/10845
Palabra clave:
Inequality
Gini coefficient
Bootstrap
Colombia
Macroeconomía & temas relacionados
Distribución del ingreso
Estadística matemática
Desigualdad económica
Bootstrap (Estadística)
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License
http://purl.org/coar/access_right/c_abf2
id EDOCUR2_8178073a6d744b2f059435b7a578b7d0
oai_identifier_str oai:repository.urosario.edu.co:10336/10845
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
dc.title.none.fl_str_mv Statistical inference for testing Gini coefficients: an application for Colombia
title Statistical inference for testing Gini coefficients: an application for Colombia
spellingShingle Statistical inference for testing Gini coefficients: an application for Colombia
Inequality
Gini coefficient
Bootstrap
Colombia
Macroeconomía & temas relacionados
Distribución del ingreso
Estadística matemática
Desigualdad económica
Bootstrap (Estadística)
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
dc.subject.none.fl_str_mv Inequality
Gini coefficient
Bootstrap
Colombia
Macroeconomía & temas relacionados
Distribución del ingreso
Estadística matemática
Desigualdad económica
Bootstrap (Estadística)
topic Inequality
Gini coefficient
Bootstrap
Colombia
Macroeconomía & temas relacionados
Distribución del ingreso
Estadística matemática
Desigualdad económica
Bootstrap (Estadística)
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.
publishDate 2009
dc.date.none.fl_str_mv 2009-06
2015-09-21T15:19:29Z
dc.type.none.fl_str_mv info:eu-repo/semantics/workingPaper
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_8042
dc.identifier.none.fl_str_mv 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.
https://doi.org/10.48713/10336_10845
Universidad del Rosario, Facultad de Economía
http://repository.urosario.edu.co/handle/10336/10845
identifier_str_mv 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.
Universidad del Rosario, Facultad de Economía
url https://doi.org/10.48713/10336_10845
http://repository.urosario.edu.co/handle/10336/10845
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://ideas.repec.org/p/col/000092/005658.html
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv 17 páginas
Recurso electrónico
application/pdf
Documento
dc.publisher.none.fl_str_mv Universidad del Rosario
Facultad de Economía
publisher.none.fl_str_mv Universidad del Rosario
Facultad de Economía
dc.source.none.fl_str_mv 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.
instname:Universidad del Rosario
instname:Universidad del Rosario
reponame:Repositorio Institucional EdocUR
instname_str Universidad del Rosario
institution Universidad del Rosario
reponame_str Repositorio Institucional EdocUR
collection Repositorio Institucional EdocUR
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Statistical inference for testing Gini coefficients: an application for ColombiaInequalityGini coefficientBootstrapColombiaMacroeconomía & temas relacionadosDistribución del ingresoEstadística matemáticaDesigualdad económicaBootstrap (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.Universidad del RosarioFacultad de Economía2009-062015-09-21T15:19:29Zinfo:eu-repo/semantics/workingPaperhttp://purl.org/coar/resource_type/c_804217 páginasRecurso electrónicoapplication/pdfDocumentoGamboa 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.https://doi.org/10.48713/10336_10845 Universidad del Rosario, Facultad de Economíahttp://repository.urosario.edu.co/handle/10336/10845Baer, 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 RepúblicaBirchenall, 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.instname:Universidad del Rosarioinstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURspahttps://ideas.repec.org/p/col/000092/005658.htmlhttp://purl.org/coar/access_right/c_abf2Gamboa Niño, Luis FernandoAndrés Felipe, GarcíaOtero Cardona, Jesús Gilbertooai:repository.urosario.edu.co:10336/108452021-06-03T00:46:36Z

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