IDEAS home Printed from https://ideas.repec.org/a/spr/demogr/v52y2015i3p835-860.html
   My bibliography  Save this article

Parental Spending on School-Age Children: Structural Stratification and Parental Expectation

Author

Listed:
  • Lingxin Hao
  • Wei-Jun Yeung

Abstract

As consumption expenditures are increasingly recognized as direct measures of children’s material well-being, they provide new insights into the process of intergenerational transfers from parents to children. Little is known, however, about how parents allocate financial resources to individual children. To fill this gap, we develop a conceptual framework based on stratification theory, human capital theory, and the child-development perspective; exploit unique child-level expenditure data from Child Supplements of the PSID; and employ quantile regression to model the distribution of parental spending on children. Overall, we find strong evidence supporting our hypotheses regarding the effects of socioeconomic status (SES), race, and parental expectation. Our nuanced estimates suggest that (1) parental education, occupation, and family income have differential effects on parental spending, with education being the most influential determinant; (2) net of SES, race continues to be a significant predictor of parental spending on children; and (3) parental expectation plays a crucial role in determining whether parents place a premium on child development in spending and how parents prioritize different categories of spending. Copyright Population Association of America 2015

Suggested Citation

  • Lingxin Hao & Wei-Jun Yeung, 2015. "Parental Spending on School-Age Children: Structural Stratification and Parental Expectation," Demography, Springer;Population Association of America (PAA), vol. 52(3), pages 835-860, June.
  • Handle: RePEc:spr:demogr:v:52:y:2015:i:3:p:835-860
    DOI: 10.1007/s13524-015-0386-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s13524-015-0386-1
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s13524-015-0386-1?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. Kerwin Kofi Charles & Erik Hurst & Nikolai Roussanov, 2009. "Conspicuous Consumption and Race," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 425-467.
    2. 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.
    3. Sabino Kornrich & Frank Furstenberg, 2013. "Investing in Children: Changes in Parental Spending on Children, 1972–2007," Demography, Springer;Population Association of America (PAA), vol. 50(1), pages 1-23, February.
    4. Robert Haveman & Barbara Wolfe, 1995. "The Determinants of Children's Attainments: A Review of Methods and Findings," Journal of Economic Literature, American Economic Association, vol. 33(4), pages 1829-1878, December.
    5. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731.
    6. Rebecca M. Blank & Robert F. Schoeni, 2003. "Changes in the Distribution of Children's Family Income over the 1990's," American Economic Review, American Economic Association, vol. 93(2), pages 304-308, May.
    7. Bruce D. Meyer & James X. Sullivan, 2008. "Changes in the Consumption, Income, and Well-Being of Single Mother Headed Families," American Economic Review, American Economic Association, vol. 98(5), pages 2221-2241, December.
    8. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, 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. Michelle Maroto, 2018. "Saving, Sharing, or Spending? The Wealth Consequences of Raising Children," Demography, Springer;Population Association of America (PAA), vol. 55(6), pages 2257-2282, December.
    2. Nam, Yunju, 2020. "Parents’ financial assistance for college and black-white disparities in post-secondary educational attainment," Children and Youth Services Review, Elsevier, vol. 110(C).
    3. Qianqian Liu & Xiumin Hong & Mei Wang, 2022. "Parental Educational Anxiety during Children’s Transition to Primary School in China," IJERPH, MDPI, vol. 19(23), pages 1-13, November.
    4. Sandra L. Hofferth & David S. Bickham & Jeanne Brooks-Gunn & Pamela E. Davis-Kean & Wei-Jun Jean Yeung, 2018. "Contributions of Research Based on the PSID Child Development Supplement," The ANNALS of the American Academy of Political and Social Science, , vol. 680(1), pages 97-131, November.
    5. Mark E. McGovern & Slawa Rokicki, 2023. "The Great Recession, Household Income, and Children's Test Scores," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(3), pages 555-580, September.
    6. Cai, Xiqian & Fan, Qingliang & Yuan, Congying, 2022. "The impact of only child peers on students’ cognitive and non-cognitive outcomes," Labour Economics, Elsevier, vol. 78(C).
    7. Haiyang Lu & Peng Nie & Alfonso Sousa-Poza, 2021. "The Effect of Parental Educational Expectations on Adolescent Subjective Well-Being and the Moderating Role of Perceived Academic Pressure: Longitudinal Evidence for China," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(1), pages 117-137, February.
    8. Serhii Maksymovych & William Appleman & Zurab Abramishvili, 2023. "Parental gender preference in the Balkans and Scandinavia: gender bias or differential costs?," Journal of Population Research, Springer, vol. 40(4), pages 1-48, December.
    9. Jingye Shi & Bing Xu & Yi Wei, 2020. "Life course and cohort effects on Chinese parents' investments in their children," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(8), pages 183-216.
    10. Zurab Abramishvili & William Appleman & Sergii Maksymovych, 2019. "Parental Gender Preference in the Balkans and Scandinavia: Gender Bias or Differential Costs?," CERGE-EI Working Papers wp643, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    11. Wang, Haining & Cheng, Zhiming, 2022. "Kids eat free: School feeding and family spending on education," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 196-212.
    12. Zehui Zhan & Yuanmin Li & Hu Mei & Siyuan Lyu, 2023. "Key competencies acquired from STEM education: gender-differentiated parental expectations," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.

    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. Hernæs, Øystein M., 2020. "Distributional effects of welfare reform for young adults: An unconditional quantile regression approach," Labour Economics, Elsevier, vol. 65(C).
    2. Nicoletti, Cheti, 2008. "Multiple sample selection in the estimation of intergenerational occupational mobility," ISER Working Paper Series 2008-20, Institute for Social and Economic Research.
    3. Yilmaz, Kuzey, 2018. "Quantity–quality trade-off of children and school finance," Journal of Macroeconomics, Elsevier, vol. 56(C), pages 188-203.
    4. Schnitzlein Daniel, 2009. "Struktur und Ausmaß der intergenerationalen Einkommensmobilität in Deutschland / Structure and Extent of Intergenerational Income Mobility in Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 229(4), pages 450-466, August.
    5. Asongu, Simplice A. & Odhiambo, Nicholas M., 2021. "Inequality, finance and renewable energy consumption in Sub-Saharan Africa," Renewable Energy, Elsevier, vol. 165(P1), pages 678-688.
    6. Giovanni Bonaccolto & Massimiliano Caporin & Sandra Paterlini, 2018. "Asset allocation strategies based on penalized quantile regression," Computational Management Science, Springer, vol. 15(1), pages 1-32, January.
    7. Jenkins, Stephen P. & Schluter, Christian, 2002. "The Effect of Family Income During Childhood on Later-Life Attainment: Evidence from Germany," IZA Discussion Papers 604, Institute of Labor Economics (IZA).
    8. Abeliansky, Ana & Krenz, Astrid, 2015. "Democracy and international trade: Differential effects from a panel quantile regression framework," University of Göttingen Working Papers in Economics 243, University of Goettingen, Department of Economics.
    9. Muller, Christophe, 2018. "Heterogeneity and nonconstant effect in two-stage quantile regression," Econometrics and Statistics, Elsevier, vol. 8(C), pages 3-12.
    10. Mayya Zhilova, 2015. "Simultaneous likelihood-based bootstrap confidence sets for a large number of models," SFB 649 Discussion Papers SFB649DP2015-031, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    11. Otto-Sobotka, Fabian & Salvati, Nicola & Ranalli, Maria Giovanna & Kneib, Thomas, 2019. "Adaptive semiparametric M-quantile regression," Econometrics and Statistics, Elsevier, vol. 11(C), pages 116-129.
    12. Narisetty, Naveen & Koenker, Roger, 2022. "Censored quantile regression survival models with a cure proportion," Journal of Econometrics, Elsevier, vol. 226(1), pages 192-203.
    13. Fan, Yanqin & Liu, Ruixuan, 2016. "A direct approach to inference in nonparametric and semiparametric quantile models," Journal of Econometrics, Elsevier, vol. 191(1), pages 196-216.
    14. Erik Plug & Wim Vijverberg, 2003. "Schooling, Family Background, and Adoption: Is It Nature or Is It Nurture?," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 611-641, June.
    15. Deborah A. Cobb-Clark & Sonja C. Kassenboehmer & Mathias G. Sinning, 2013. "Locus of Control and Savings," Ruhr Economic Papers 0455, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    16. Chuliá, Helena & Guillén, Montserrat & Uribe, Jorge M., 2017. "Spillovers from the United States to Latin American and G7 stock markets: A VAR quantile analysis," Emerging Markets Review, Elsevier, vol. 31(C), pages 32-46.
    17. Acemoglu, Daron & Pischke, J. -S., 2001. "Changes in the wage structure, family income, and children's education," European Economic Review, Elsevier, vol. 45(4-6), pages 890-904, May.
    18. Narula, Subhash C. & Wellington, John F. & Lewis, Stephen A., 2012. "Valuating residential real estate using parametric programming," European Journal of Operational Research, Elsevier, vol. 217(1), pages 120-128.
    19. Kelly Balistreri, 2010. "Welfare and the Children of Immigrants: Transmission of Dependence or Investment in the Future?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 29(5), pages 715-743, October.
    20. Chesher, Andrew, 2017. "Understanding the effect of measurement error on quantile regressions," Journal of Econometrics, Elsevier, vol. 200(2), pages 223-237.

    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:spr:demogr:v:52:y:2015:i:3:p:835-860. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.