Statistical Inference for Testing Gini Coefficients: An Application for Colombia

Documentos de Trabajo, Facultad de Economía, Universidad del Rosario, No. 65

19 Pages Posted: 5 Nov 2009

See all articles by Luis Fernando Gamboa

Luis Fernando Gamboa

Department of Economics, Universidad Jorge Tadeo Lozano

Jesus Otero

Universidad del Rosario

Andres F. Garcia-Suaza

Universidad del Rosario - Faculty of Economics

Date Written: June 2009

Abstract

This paper uses Colombian household survey data collected over the period 1984-2005 to estimate Gini coeficients along with their corresponding standard errors. We find a statistically signicant 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 find that in several cases the observed diferences in the Gini coeficients across cities have not been statistically signicant.

Keywords: inequality, Gini coefficient, bootstrap, Colombia

JEL Classification: C12, D31, I32

Suggested Citation

Gamboa, Luis Fernando and Otero, Jesus and Garcia, Andres F., Statistical Inference for Testing Gini Coefficients: An Application for Colombia (June 2009). Documentos de Trabajo, Facultad de Economía, Universidad del Rosario, No. 65, Available at SSRN: https://ssrn.com/abstract=1500362 or http://dx.doi.org/10.2139/ssrn.1500362

Luis Fernando Gamboa

Department of Economics, Universidad Jorge Tadeo Lozano ( email )

Cra 4 No. 22-61 Modulo 16 Of 310
Bogota, Bogotá 11001000
Colombia

Jesus Otero (Contact Author)

Universidad del Rosario ( email )

Andres F. Garcia

Universidad del Rosario - Faculty of Economics ( email )

Casa Pedro Fermín
Calle 14 # 4-69
Bogota
Colombia

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