Statistical inference for testing Gini Coefficients: An application for Colombia
AbstractThis paper uses Colombian household survey data collected over the 1984-2005 period to estimate Gini coefficients and their corresponding standard errors. We find a statistically significant increase in wage income inequality following the adoption of the liberalization measures during the early 1990s, and mixed evidence from the recovery years that followed the economic recession during the late 1990s. We also find that in several cases the observed differences in the Gini coefficients across cities have not been statistically significant.
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Bibliographic InfoArticle provided by BANCO DE LA REPÚBLICA - ESPE in its journal ENSAYOS SOBRE POLÍTICA ECONÓMICA.
Volume (Year): (2010)
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- Luis Fernando Gamboa & Andrés García & Jesús Otero, 2009. "Statistical inference for testing gini coefficients: an application for Colombia," DOCUMENTOS DE TRABAJO 005658, UNIVERSIDAD DEL ROSARIO.
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