IDEAS home Printed from https://ideas.repec.org/a/eee/chieco/v31y2014icp379-391.html
   My bibliography  Save this article

Decomposing the rich dad effect on income inequality using instrumental variable quantile regression

Author

Listed:
  • Du, Zaichao
  • LI, Renyu
  • He, Qinying
  • ZHANG, Lin

Abstract

In this paper we evaluate the relative importance of the two main channels, namely the composition effect and the income structure effect, through which the paternal income affects children's income inequality. Using data on 2677 pairs of father and children from China Health and Nutrition Survey (CHNS), we construct the counterfactual income of children from poor families if they had the same characteristics as children from rich families. We propose an instrumental variable quantile regression-based method to solve the endogeneity problem and decompose the rich dad effect on income inequality into the composition effect and the income structure effect. We find that the composition effect explains at least 80% of the income difference at any quantile, and it explains all the income difference at the top four deciles. Income structure effect has a significant impact only at quantiles between 20% and 40%, where it explains about 20% of the income difference.

Suggested Citation

  • Du, Zaichao & LI, Renyu & He, Qinying & ZHANG, Lin, 2014. "Decomposing the rich dad effect on income inequality using instrumental variable quantile regression," China Economic Review, Elsevier, vol. 31(C), pages 379-391.
  • Handle: RePEc:eee:chieco:v:31:y:2014:i:c:p:379-391
    DOI: 10.1016/j.chieco.2014.06.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1043951X1400073X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chieco.2014.06.007?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Björklund, Anders & Salvanes, Kjell G., 2011. "Education and Family Background: Mechanisms and Policies," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 3, pages 201-247, Elsevier.
    2. Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), 2011. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 4, number 4, June.
    3. Gordon B. Dahl & Lance Lochner, 2012. "The Impact of Family Income on Child Achievement: Evidence from the Earned Income Tax Credit," American Economic Review, American Economic Association, vol. 102(5), pages 1927-1956, August.
    4. Philip A. Trostel, 2005. "Nonlinearity in the Return to Education," Journal of Applied Economics, Taylor & Francis Journals, vol. 8(1), pages 191-202, May.
    5. Solon, Gary, 1999. "Intergenerational mobility in the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 29, pages 1761-1800, Elsevier.
    6. Gary S. Becker & Nigel Tomes, 1994. "Human Capital and the Rise and Fall of Families," NBER Chapters, in: Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, Third Edition, pages 257-298, National Bureau of Economic Research, Inc.
    7. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    8. James J. Heckman & Lance J. Lochner & Petra E. Todd, 2008. "Earnings Functions and Rates of Return," Journal of Human Capital, University of Chicago Press, vol. 2(1), pages 1-31.
    9. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    10. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    11. Zhang, Yingqiang & Eriksson, Tor, 2010. "Inequality of opportunity and income inequality in nine Chinese provinces, 1989-2006," China Economic Review, Elsevier, vol. 21(4), pages 607-616, December.
    12. Shea, John, 2000. "Does parents' money matter?," Journal of Public Economics, Elsevier, vol. 77(2), pages 155-184, August.
    13. Conlisk, John, 1974. "Can Equalization of Opportunity Reduce Social Mobility?," American Economic Review, American Economic Association, vol. 64(1), pages 80-90, March.
    14. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    15. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    16. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    17. Christopher J. Ruhm, 1988. "When 'Equal Opportunity' is not Enough: Training Costs and Intergenerational Inequality," Journal of Human Resources, University of Wisconsin Press, vol. 23(2), pages 155-172.
    18. Christian Dustmann & Johannes Ludsteck & Uta Schönberg, 2009. "Revisiting the German Wage Structure," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 843-881.
    19. Robert Erikson & John H. Goldthorpe, 2002. "Intergenerational Inequality: A Sociological Perspective," Journal of Economic Perspectives, American Economic Association, vol. 16(3), pages 31-44, Summer.
    20. Melly, Blaise, 2005. "Decomposition of differences in distribution using quantile regression," Labour Economics, Elsevier, vol. 12(4), pages 577-590, August.
    21. Lars Lefgren & Matthew J. Lindquist & David Sims, 2012. "Rich Dad, Smart Dad: Decomposing the Intergenerational Transmission of Income," Journal of Political Economy, University of Chicago Press, vol. 120(2), pages 268-303.
    22. James Albrecht & Anders Bjorklund & Susan Vroman, 2003. "Is There a Glass Ceiling in Sweden?," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 145-177, January.
    23. Jones-Smith, Jessica C. & Popkin, Barry M., 2010. "Understanding community context and adult health changes in China: Development of an urbanicity scale," Social Science & Medicine, Elsevier, vol. 71(8), pages 1436-1446, October.
    24. Samuel Bowles & Herbert Gintis, 2002. "The Inheritance of Inequality," Journal of Economic Perspectives, American Economic Association, vol. 16(3), pages 3-30, Summer.
    25. Zimmerman, David J, 1992. "Regression toward Mediocrity in Economic Stature," American Economic Review, American Economic Association, vol. 82(3), pages 409-429, June.
    26. Philip A. Trostel, 2005. "Nonlinearity in the return to education," Journal of Applied Economics, Universidad del CEMA, vol. 8, pages 191-202, May.
    27. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    28. Chernozhukov, Victor & Hansen, Christian, 2008. "Instrumental variable quantile regression: A robust inference approach," Journal of Econometrics, Elsevier, vol. 142(1), pages 379-398, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Feng, Qundi & He, Qinying, 2022. "Does parental migration increase upward intergenerational mobility? Evidence from rural China," Economic Modelling, Elsevier, vol. 115(C).
    2. Richey, Jeremiah & Rosburg, Alicia, 2016. "Understanding intergenerational economic mobility by decomposing joint distributions," MPRA Paper 72665, University Library of Munich, Germany.
    3. Lu, Xiaomeng & Zhang, Yong & Zhang, Yixing & Wang, Lin, 2020. "Can investment advisors promote rational investment? Evidence from micro-data in China," Economic Modelling, Elsevier, vol. 86(C), pages 251-263.
    4. Yongbo Ge & Xiaoran Kong & Geilegeilao Dadilabang & Kung‐Cheng Ho, 2023. "The effect of Confucian culture on household risky asset holdings: Using categorical principal component analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 839-857, January.
    5. FAN, Yi, 2016. "Intergenerational income persistence and transmission mechanism: Evidence from urban China," China Economic Review, Elsevier, vol. 41(C), pages 299-314.

    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. Richey, Jeremiah & Rosburg, Alicia, 2016. "Understanding intergenerational economic mobility by decomposing joint distributions," MPRA Paper 72665, University Library of Munich, Germany.
    2. Jeremiah Richey & Alicia Rosburg, 2018. "Decomposing economic mobility transition matrices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(1), pages 91-108, January.
    3. Jeremiah Richey & Alicia Rosburg, 2020. "Decomposing joint distributions via reweighting functions: an application to intergenerational economic mobility," Econometric Reviews, Taylor & Francis Journals, vol. 39(6), pages 541-558, July.
    4. Arceo-Gómez, Eva O. & Campos-Vázquez, Raymundo M., 2014. "Evolución de la brecha salarial de género en México," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(323), pages .619-653, julio-sep.
    5. Domenico Depalo & Raffaela Giordano & Evangelia Papapetrou, 2015. "Public–private wage differentials in euro-area countries: evidence from quantile decomposition analysis," Empirical Economics, Springer, vol. 49(3), pages 985-1015, November.
    6. Mustafizur Rahman & Marzuka Md. Al-Hasan, 2019. "Women in Bangladesh Labour Market: Determinants of Participation, Gender Wage Gap and Returns to Schooling," CPD Working Paper 124, Centre for Policy Dialogue (CPD).
    7. Koomen, Miriam & Backes-Gellner, Uschi, 2022. "Occupational tasks and wage inequality in West Germany: A decomposition analysis," Labour Economics, Elsevier, vol. 79(C).
    8. Boris Kaiser, 2016. "Decomposing differences in arithmetic means: a doubly robust estimation approach," Empirical Economics, Springer, vol. 50(3), pages 873-899, May.
    9. Jelena Lausev, 2014. "WHAT HAS 20 YEARS OF PUBLIC–PRIVATE PAY GAP LITERATURE TOLD US? EASTERN EUROPEAN TRANSITIONING vs. DEVELOPED ECONOMIES," Journal of Economic Surveys, Wiley Blackwell, vol. 28(3), pages 516-550, July.
    10. Eriksson, Tor & Pan, Jay & Qin, Xuezheng, 2014. "The intergenerational inequality of health in China," China Economic Review, Elsevier, vol. 31(C), pages 392-409.
    11. Petreski, Marjan. & Mojsoska-Blazevski, Nikica., 2015. "The gender and motherhood wage gap in the Former Yugoslav Republic of Macedonia : an econometric analysis," ILO Working Papers 994895293402676, International Labour Organization.
    12. Avinno Faruk, 2021. "Analysing the glass ceiling and sticky floor effects in Bangladesh: evidence, extent and elements," SN Business & Economics, Springer, vol. 1(9), pages 1-23, September.
    13. Gomes, Magno Rogério & Souza, Solange de Cássia Inforzato de & Mantovani, Gabriela Gomes & Paiva, Vanessa Fortunato de, 2020. "Wage gap decomposition models: A methodological contribution," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 39(2), March.
    14. Brieland, Stephanie & Töpfer, Marina, 2020. "The gender pay gap revisited: Does machine learning offer new insights?," Discussion Papers 111, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    15. Cho, Sungwook & Heshmati, Almas, 2013. "What If You Had Been Less Fortunate: The Effects of Poor Family Background on Current Labor Market Outcomes," IZA Discussion Papers 7708, Institute of Labor Economics (IZA).
    16. Gomes, Magno Rogério & Souza, Solange de Cássia Inforzato de & Mantovani, Gabriela Gomes & Paiva, Vanessa Fortunato de, 2019. "Wage gap decomposition models: A methodological contribution," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 39(2).
    17. Jean-Marc Fournier & Isabell Koske, 2012. "The determinants of earnings inequality: evidence from quantile regressions," OECD Journal: Economic Studies, OECD Publishing, vol. 2012(1), pages 7-36.
    18. Pablo Lavado & Nelson Oviedo & Hernán Ruffo, 2016. "Destruction of Cognitive and Noncognitive Skills in Adulthood," Working Papers 16-07, Centro de Investigación, Universidad del Pacífico.
    19. Collischon Matthias, 2019. "Is There a Glass Ceiling over Germany?," German Economic Review, De Gruyter, vol. 20(4), pages 329-359, December.
    20. Sonja C. Kassenboehmer & Mathias G. Sinning, 2014. "Distributional Changes in the Gender Wage Gap," ILR Review, Cornell University, ILR School, vol. 67(2), pages 335-361, April.

    More about this item

    Keywords

    Intergenerational inequality; Counterfactual decomposition; Composition effect; Income structure effect; Instrumental variable quantile regression;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

    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:eee:chieco:v:31:y:2014:i:c:p:379-391. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/chieco .

    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.