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Comparison of Approaches to Measuring the Causes of Income Inequality

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  • Satimanon, Monthien

Abstract

Most of the inequality literature in the United States and developing countries has focused on education and fringe benefit provided by government as determinants of income inequality. The partial effect (sign, magnitude, and significance) of education on the measure of income inequality depends not only on the return to education but also position of unit of observation on the upper and lower tail of income distribution. In the recent development literature, it has been pointed out that there exists the endogeneity issue regarding the causality of income inequality and education attainment. Hence, the estimating results of partial effect might be inconsistent. Taking advantages of the newly developed quantile regression with control function, this study compares the result from conventional estimation to the results of this new estimation method.

Suggested Citation

  • Satimanon, Monthien, 2011. "Comparison of Approaches to Measuring the Causes of Income Inequality," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103844, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea11:103844
    DOI: 10.22004/ag.econ.103844
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    References listed on IDEAS

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    1. Markus Frölich & Blaise Melly, 2013. "Unconditional Quantile Treatment Effects Under Endogeneity," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 346-357, July.
    2. Markus Frolich & Blaise Melly, 2010. "Estimation of quantile treatment effects with Stata," Stata Journal, StataCorp LP, vol. 10(3), pages 423-457, September.
    3. Frolich, Markus, 2007. "Nonparametric IV estimation of local average treatment effects with covariates," Journal of Econometrics, Elsevier, vol. 139(1), pages 35-75, July.
    4. Bound, John & Johnson, George, 1992. "Changes in the Structure of Wages in the 1980's: An Evaluation of Alternative Explanations," American Economic Review, American Economic Association, vol. 82(3), pages 371-392, June.
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