Ajuste del ingreso en México con un enfoque bayesiano

Fredy Yair Montes Rivera, Paulino Pérez Rodríguez and Sergio Pérez Elizalde
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Fredy Yair Montes Rivera: Colegio de Postgraduados
Paulino Pérez Rodríguez: Colegio de Postgraduados
Sergio Pérez Elizalde: Colegio de Postgraduados

Estudios Económicos, 2012, vol. 27, issue 2, 273-293

Abstract: In this work, three distributions are proposed (Pareto, Lognormal and Dagum) to model the income of Mexican population, by using the Bayesian approach. It was found that the Dagum model was the one that best describes the data. The posterior distributions of the quantities of interest were obtained by using Markov Chain Monte Carlo methods. The analysis was done by using data from the years 1998, 2002 and 2008. The results shown that the distribution income is quite unequal, which is not in agreement with the results reported by Centro de Estudios de las Finanzas Públicas, H. Cámara de Diputados.

Keywords: Pareto, Lognormal, Dagum distributions; algorithm; Gini's coefficient, Lorenz's curve. (search for similar items in EconPapers)
JEL-codes: C02 C11 C12 C13 C15 (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:emx:esteco:v:27:y:2012:i:2:p:273-293

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