IDEAS home Printed from https://ideas.repec.org/p/ags/aaea11/103844.html
   My bibliography  Save this paper

Comparison of Approaches to Measuring the Causes of Income Inequality

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/103844/files/ComparinginequalityMonthienAAEA2011.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.103844?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ozkan Eren & Serkan Ozbeklik, 2014. "Who Benefits From Job Corps? A Distributional Analysis Of An Active Labor Market Program," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(4), pages 586-611, June.
    2. Luc Behaghel & Clément de Chaisemartin & Marc Gurgand, 2017. "Ready for Boarding? The Effects of a Boarding School for Disadvantaged Students," American Economic Journal: Applied Economics, American Economic Association, vol. 9(1), pages 140-164, January.
    3. Markus Frölich & Blaise Melly, 2013. "Identification of Treatment Effects on the Treated with One-Sided Non-Compliance," Econometric Reviews, Taylor & Francis Journals, vol. 32(3), pages 384-414, November.
    4. Markus Frölich & Martin Huber, 2014. "Treatment Evaluation With Multiple Outcome Periods Under Endogeneity and Attrition," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1697-1711, December.
    5. Kausik Chaudhuri & S. N Rajesh Raj & Subash Sasidharan, 2018. "Broadband Adoption and Firm Performance: Evidence from Informal Sector Firms in India," Working Papers id:12744, eSocialSciences.
    6. Schiele, Valentin & Schmitz, Hendrik, 2016. "Quantile treatment effects of job loss on health," Journal of Health Economics, Elsevier, vol. 49(C), pages 59-69.
    7. M. Fort, 2012. "Unconditional and Conditional Quantile Treatment Effect: Identification Strategies and Interpretations," Working Papers wp857, Dipartimento Scienze Economiche, Universita' di Bologna.
    8. Laetitia Duval & François-Charles Wolff, 2013. "The consumption-enhancing effect of remittances: Evidence from Kosovo," wiiw Balkan Observatory Working Papers 107, The Vienna Institute for International Economic Studies, wiiw.
    9. Mirella Damiani & Fabrizio Pompei & Andrea Ricci, 2019. "The role of employee incentive pay in the competitiveness of family and non-family firms," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(3), pages 805-839, October.
    10. Dambala Gelo & Steven F. Koch & Edwin Muchapondwah, 2013. "Do the Poor Benefit from Devolution Policies? Evidences from Quantile Treatment Effect Evaluation of Joint Forest Management," Working Papers 201388, University of Pretoria, Department of Economics.
    11. Thomas F. Crossley & Jochem Bresser & Liam Delaney & Joachim Winter, 2017. "Can Survey Participation Alter Household Saving Behaviour?," Economic Journal, Royal Economic Society, vol. 127(606), pages 2332-2357, November.
    12. Thanos Mergoupis & Robertas Zubrickas, 2024. "Work experience, information revelation, and study effort," Oxford Economic Papers, Oxford University Press, vol. 76(2), pages 495-513.
    13. Liao, Wen-Chi & Zhao, Daxuan, 2019. "The selection and quantile treatment effects on the economic returns of green buildings," Regional Science and Urban Economics, Elsevier, vol. 74(C), pages 38-48.
    14. Alex Coad & Julian Frankish & Paul Nightingale & Richard Roberts, 2014. "Business experience and start-up size: Buying more lottery tickets next time around?," Small Business Economics, Springer, vol. 43(3), pages 529-547, October.
    15. Bosio, Giulio, 2009. "Temporary employment and wage gap with permanent jobs: evidence from quantile regression," MPRA Paper 16055, University Library of Munich, Germany.
    16. Daly, Moira, 2015. "The long term returns of attempting self-employment with regular employment as a fall back option," Labour Economics, Elsevier, vol. 35(C), pages 26-52.
    17. Taian Deng & Marrit van den Berg & Nico Heerink & Haoyang Cui & Fuli Tan & Shenggen Fan, 2023. "Can homestead gardens improve rural households' vegetable consumption? Evidence from three provinces in China," Agribusiness, John Wiley & Sons, Ltd., vol. 39(S1), pages 1578-1594, December.
    18. Ndlovu, Godfrey & Toerien, Francois, 2020. "The distributional impact of access to finance on poverty: evidence from selected countries in Sub-Saharan Africa," Research in International Business and Finance, Elsevier, vol. 52(C).
    19. Schmieder, Julia, 2021. "Fertility as a driver of maternal employment," Labour Economics, Elsevier, vol. 72(C).
    20. Ainembabazi, John Herbert & Abdoulaye, Tahirou & Feleke, Shiferaw & Alene, Arega & Dontsop-Nguezet, Paul M. & Ndayisaba, Pierre Celestin & Hicintuka, Cyrille & Mapatano, Sylvain & Manyong, Victor, 2018. "Who benefits from which agricultural research-for-development technologies? Evidence from farm household poverty analysis in Central Africa," World Development, Elsevier, vol. 108(C), pages 28-46.

    More about this item

    Keywords

    Consumer/Household Economics;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaea11:103844. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.