Examining the Distributional Effects of Military Service on Earnings: A Test of Initial Dominance
AbstractExisting empirical evidence suggests that the effects of Vietnam veteran status on earnings in the decade-and-a-half following service may be concentrated in the lower tail of the earnings distribution. Motivated by this evidence, we develop a formal statistical procedure that is specifically designed to test for lower tail dominance in the distributions of earnings. When applied to the same data as in previous studies, the test reveals that the distribution of earnings for veterans is indeed dominated by the distribution of earnings for nonveterans up to $12,600 (in 1978 dollars), thereby indicating that there was higher social welfare and lower poverty experienced by nonveterans in the decade-and-a-half following military service.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Journal of Business & Economic Statistics.
Volume (Year): 31 (2013)
Issue (Month): 1 (January)
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Other versions of this item:
- Christopher J. Bennett & Ricardas Zitikis, 2011. "Examining the Distributional Effects of Military Service on Earnings: A Test of Initial Dominance," Vanderbilt University Department of Economics Working Papers 1111, Vanderbilt University Department of Economics.
- I31 - Health, Education, and Welfare - - Welfare and Poverty - - - General Welfare
- I32 - Health, Education, and Welfare - - Welfare and Poverty - - - Measurement and Analysis of Poverty
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
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- Horvath, Lajos & Kokoszka, Piotr & Zitikis, Ricardas, 2006. "Testing for stochastic dominance using the weighted McFadden-type statistic," Journal of Econometrics, Elsevier, vol. 133(1), pages 191-205, July.
- Saraswata Chaudhuri & Elaina Rose, 2009.
"Estimating the Veteran Effect with Endogenous Schooling when Instruments are Potentially Weak,"
UWEC-2009-07, University of Washington, Department of Economics.
- Chaudhuri, Saraswata & Rose, Elaina, 2009. "Estimating the Veteran Effect with Endogenous Schooling When Instruments Are Potentially Weak," IZA Discussion Papers 4203, Institute for the Study of Labor (IZA).
- Linton, Oliver & Song, Kyungchul & Whang, Yoon-Jae, .
"An improved bootstrap test of stochastic dominance,"
Open Access publications from Universidad Carlos III de Madrid
info:hdl:10016/4913, Universidad Carlos III de Madrid.
- Linton, Oliver & Song, Kyungchul & Whang, Yoon-Jae, 2010. "An improved bootstrap test of stochastic dominance," Journal of Econometrics, Elsevier, vol. 154(2), pages 186-202, February.
- Oliver Linton & Kyungchul Song & Yoon-Jae Whang, 2009. "An improved bootstrap test of stochastic dominance," Economics Working Papers we094827, Universidad Carlos III, Departamento de Economía.
- Oliver Linton & Kyungchul Song & Yoon-Jae Whang, 2009. "An Improved Bootstrap Test of Stochastic Dominance," Cowles Foundation Discussion Papers 1713, Cowles Foundation for Research in Economics, Yale University.
- Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-66, May.
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