IDEAS home Printed from https://ideas.repec.org/p/phs/dpaper/201112.html
   My bibliography  Save this paper

Why are Boys Falling Behind Girls in Schooling?

Author

Listed:
  • Edita E. Tan

    (School of Economics, University of the Philippines Diliman)

  • Kristine S. Canales

    (PCED-Institute to Study Inequality, Poverty, and Social Protection)

  • Kevin G. Cruz

    (School of Economics, University of the Philippines Diliman)

  • Jan Carlo B. Punongbayan

    (PCED-Institute to Study Inequality, Poverty, and Social Protection)

Abstract

The paper tries to explain why women in the Philippines, as yet a low middle income country, obtain higher levels of education than boys. Four empirically based reasons are posited – the substantial expansion of the education system, the growth of job opportunities, the culture that encourages girls to develop better study habits and the high returns to their education. Empirical evidence is provided to support these contentions especially on the returns to women’s schooling. The study concentrates in estimating by various methods returns to schooling using individual observations from the labor force survey. The more conventional OLS regressions are first applied to allow comparison with many studies and the semi-parametric estimates. But the semi-parametric additive method had to be used in order to check for specification robustness of the model due to the observed violation of the OLS assumption of normal distribution of error terms. The quantile regression was also applied to reflect the income distribution implications of the returns pattern. An additional insight into the returns estimation is given by the inclusion of the effect of being married and marrying well, i.e., whether the spouses are equally or upward matched in education, or not. We find that returns to education are higher the higher the level of education is and that returns to women’s education are higher than returns to men’s education. Moreover, being married and married well increase earnings. Additionally, there is a fairly high good matching between education classes, i.e., there is substantial intermarriage among college graduates and other college educated and among lower educated individuals. This implies poor social mobility considering that access to education especially at the higher levels is very much constrained by family resources. Intermarriage between college graduates preserves their high social position since access to education is restricted by income. The paper concludes with a list of social issues that emerge from the findings.

Suggested Citation

  • Edita E. Tan & Kristine S. Canales & Kevin G. Cruz & Jan Carlo B. Punongbayan, 2011. "Why are Boys Falling Behind Girls in Schooling?," UP School of Economics Discussion Papers 201112, University of the Philippines School of Economics.
  • Handle: RePEc:phs:dpaper:201112
    as

    Download full text from publisher

    File URL: http://www.econ.upd.edu.ph/dp/index.php/dp/article/view/680/145
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christopher Dougherty, 2005. "Why Are the Returns to Schooling Higher for Women than for Men?," Journal of Human Resources, University of Wisconsin Press, vol. 40(4), pages 969-988.
    2. Lawrence Dacuycuy, 2006. "Explaining male wage inequality in the Philippines: non-parametric and semiparametric approaches," Applied Economics, Taylor & Francis Journals, vol. 38(21), pages 2497-2511.
    3. Lawrence Dacuycuy, 2005. "Is the earnings-schooling relationship linear? a semiparametric analysis," Economics Bulletin, AccessEcon, vol. 3(37), pages 1-8.
    4. George Psacharopoulos & Harry Anthony Patrinos, 2004. "Returns to investment in education: a further update," Education Economics, Taylor & Francis Journals, vol. 12(2), pages 111-134.
    5. Behrman, Jere & Birdsall, Nancy & Deolalikar, Anil, 1995. "Marriage Markets, Labor Markets, and Unobserved Human Capital: An Empirical Exploration for South-Central India," Economic Development and Cultural Change, University of Chicago Press, vol. 43(3), pages 585-601, April.
    6. Miles, Daniel & Mora, Juan, 2003. "On the performance of nonparametric specification tests in regression models," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 477-490, March.
    7. Anil B. Deolalikar, 1993. "Gender Differences in the Returns to Schooling and in School Enrollment Rates in Indonesia," Journal of Human Resources, University of Wisconsin Press, vol. 28(4), pages 899-932.
    8. repec:ebl:ecbull:v:3:y:2005:i:37:p:1-8 is not listed on IDEAS
    9. Deolalikar, A.B., 1993. "gender Differences in the Returns to School Enrollment rates in Indonesia," Discussion Papers in Economics at the University of Washington 93-04, Department of Economics at the University of Washington.
    10. Murat Nick & P. Randall Walsh, 2007. "Building the Family Nest: Premarital Investments, Marriage Markets, and Spousal Allocations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(2), pages 507-535.
    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. Geoffrey M. Ducanes & Edita Abella Tan, 2014. "Who Are Poor and Do They Remain Poor?," UP School of Economics Discussion Papers 201408, University of the Philippines School of Economics.
    2. Edita A. Tan & Katrina Dinglasan, 2012. "Why the Poor Have Many Children," UP School of Economics Discussion Papers 201217, University of the Philippines School of Economics.

    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. Plamen Nikolov & Nusrat Jimi, 2018. "What factors drive individual misperceptions of the returns to schooling in Tanzania? Some lessons for education policy," Applied Economics, Taylor & Francis Journals, vol. 50(44), pages 4705-4723, September.
    2. Rosenzweig, Mark R. & Zhang, Junsen, 2013. "Economic growth, comparative advantage, and gender differences in schooling outcomes: Evidence from the birthweight differences of Chinese twins," Journal of Development Economics, Elsevier, vol. 104(C), pages 245-260.
    3. Sanjaya DeSilva & Mohammed Mehrab Bin Bakhtiar, 2011. "Women, Schooling, and Marriage in Rural Philippines," Economics Working Paper Archive wp_701, Levy Economics Institute.
    4. Yubilianto, 2020. "Return to education and financial value of investment in higher education in Indonesia," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-28, December.
    5. Vinod Mishra & Russell Smyth, 2012. "Returns to Schooling in Urban China: New Evidence Using Heteroskedasticity Restrictions to Obtain Identification Without Exclusion Restrictions," Monash Economics Working Papers 33-12, Monash University, Department of Economics.
    6. repec:eee:labchp:v:3:y:1999:i:pb:p:2859-2939 is not listed on IDEAS
    7. Gustav RANIS & Frances STEWART, 2001. "Growth And Human Development: Comparative Latin American Experience," The Developing Economies, Institute of Developing Economies, vol. 39(4), pages 333-365, December.
    8. Mishra, Vinod & Smyth, Russell, 2015. "Estimating returns to schooling in urban China using conventional and heteroskedasticity-based instruments," Economic Modelling, Elsevier, vol. 47(C), pages 166-173.
    9. Mark M. Pitt & Mark R. Rosenzweig & Mohammad Nazmul Hassan, 2012. "Human Capital Investment and the Gender Division of Labor in a Brawn-Based Economy," American Economic Review, American Economic Association, vol. 102(7), pages 3531-3560, December.
    10. Kadir, Kadir & Weni Lidya, Sukma, 2019. "Returns to Education and Wages Distribution in Indonesia: A Comparison across Gender Groups," MPRA Paper 94929, University Library of Munich, Germany, revised 25 Apr 2019.
    11. Hanzhe Zhang, 2021. "An Investment-and-Marriage Model with Differential Fecundity: On the College Gender Gap," Journal of Political Economy, University of Chicago Press, vol. 129(5), pages 1464-1486.
    12. Wang, Le, 2012. "Economic transition and college premium in urban China," China Economic Review, Elsevier, vol. 23(2), pages 238-252.
    13. Lim, Sung Soo, 2020. "Parental chronic illness and child education: Evidence from children in Indonesia," International Journal of Educational Development, Elsevier, vol. 73(C).
    14. Jere R. Behrman & Andrew D. Foster & Mark R. Rosenzweig & Prem Vashishtha, 1999. "Women's Schooling, Home Teaching, and Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 107(4), pages 682-714, August.
    15. Gustav Ranis & Frances Stewart, 2000. "Strategies for Success in Human Development," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 1(1), pages 49-69.
    16. Chiuri, Maria Concetta, 2000. "Individual decisions and household demand for consumption and leisure," Research in Economics, Elsevier, vol. 54(3), pages 277-324, September.
    17. Phanhpakit ONPHANHDALA & Terukazu SURUGA, 2006. "Education and Earnings in Lao PDR: Regional and Gender Differences," GSICS Working Paper Series 4, Graduate School of International Cooperation Studies, Kobe University.
    18. Imed Limam & Abdelwahab Ben Hafaiedh, 2017. "Education, Earnings and Returns to Schooling in Tunisia," Working Papers 1162, Economic Research Forum, revised 12 Jun 2017.
    19. Ana C. Dammert & Beyza Ural Marchand, 2015. "Privatization In China: Technology And Gender In The Manufacturing Sector," Contemporary Economic Policy, Western Economic Association International, vol. 33(2), pages 250-264, April.
    20. Claudio E. Montenegro & Harry Anthony Patrinos, 2014. "Comparable Estimates of Returns to Schooling Around the World," Working Papers wp390, University of Chile, Department of Economics.
    21. Pierre-André Chiappori & Murat Iyigun & Yoram Weiss, 2009. "Investment in Schooling and the Marriage Market," American Economic Review, American Economic Association, vol. 99(5), pages 1689-1713, December.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:phs:dpaper:201112. 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: RT Campos (email available below). General contact details of provider: https://edirc.repec.org/data/seupdph.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.