IDEAS home Printed from https://ideas.repec.org/p/tsu/tewpjp/2017-003.html
   My bibliography  Save this paper

Selection Mechanism and Variation of Years of Schooling across Birth Months in Malawi

Author

Listed:
  • Tom Mtenje
  • Hisahiro Naito

Abstract

The years of schooling in Malawi varies across birth months substantially and consistently at least over thirty years. Those who were born in the second half of each year have 1.6 years longer of schooling than those who were born in the first half of each year. The difference is substantial given that the average years of schooling in Malawi is about six years. The availability of food across months and the variation of birth weight across birth months do not match the variation of years of schooling across birth months. Compulsory education law does not explain this pattern either. To explain the pattern of years of schooling across birth months, we propose a selection mechanism hypothesis that among individuals who was born in the second half of each year, only those who have high innate ability could survive the malnutrition during pregnancy and the most vulnerable periods after the birth. This implies that those who were born in the second half of each year and those who are alive now have higher innate ability on average. Because of higher innate ability, such individuals had longer years of schooling than other individuals. To prove the validity of our hypothesis, we first show that the number of individual who were born in the second half of each year and who are alive now is 50 percent lower than the number of individuals who were born in the first half and are alive now. Second, using a novel approach used by G{\o }rgens, Meng and Vaithianathan (2012), we regress each person's years of schooling on his or her parents' birth months controlling each person's birth month and parents' education. We show that the years of schooling of children whose parent were born in the second half of each year is longer than those of children whose parents were born in the first half of each year. This result shows that individuals who were born in the last half of each year survived sever malnutrition and have innate ability.

Suggested Citation

  • Tom Mtenje & Hisahiro Naito, 2017. "Selection Mechanism and Variation of Years of Schooling across Birth Months in Malawi," Tsukuba Economics Working Papers 2017-003, Faculty of Humanities and Social Sciences, University of Tsukuba.
  • Handle: RePEc:tsu:tewpjp:2017-003
    as

    Download full text from publisher

    File URL: https://pepp.hass.tsukuba.ac.jp/RePEc/2017-003.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Carlos Bozzoli & Angus Deaton & Climent Quintana-Domeque, 2009. "Adult height and childhood disease," Demography, Springer;Population Association of America (PAA), vol. 46(4), pages 647-669, November.
    2. Gørgens, Tue & Meng, Xin & Vaithianathan, Rhema, 2012. "Stunting and selection effects of famine: A case study of the Great Chinese Famine," Journal of Development Economics, Elsevier, vol. 97(1), pages 99-111.
    3. World Bank, 2010. "The Education System in Malawi," World Bank Publications - Books, The World Bank Group, number 5937, December.
    4. Joshua D. Angrist & Alan B. Keueger, 1991. "Does Compulsory School Attendance Affect Schooling and Earnings?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 979-1014.
    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. Schultz, T. Paul, 2010. "Population and Health Policies," Handbook of Development Economics, in: Dani Rodrik & Mark Rosenzweig (ed.), Handbook of Development Economics, edition 1, volume 5, chapter 0, pages 4785-4881, Elsevier.
    2. Eric B. Schneider & Kota Ogasawara & Tim J. Cole, 2021. "Health Shocks, Recovery, and the First Thousand Days: The Effect of the Second World War on Height Growth in Japanese Children," Population and Development Review, The Population Council, Inc., vol. 47(4), pages 1075-1105, December.
    3. Thompson, Kristina & Lindeboom, Maarten & Portrait, France, 2019. "Adult body height as a mediator between early-life conditions and socio-economic status: the case of the Dutch Potato Famine, 1846–1847," Economics & Human Biology, Elsevier, vol. 34(C), pages 103-114.
    4. Janet Currie & Tom Vogl, 2013. "Early-Life Health and Adult Circumstance in Developing Countries," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 1-36, May.
    5. repec:dau:papers:123456789/4300 is not listed on IDEAS
    6. Gabriella Conti & Stavros Poupakis & Peter Ekamper & Govert Bijwaard & L. H. Lumey, 2021. "Severe Prenatal Shocks and Adolescent Health: Evidence from the Dutch Hunger Winter," Working Papers 2021-056, Human Capital and Economic Opportunity Working Group.
    7. Nobles, Jenna & Hamoudi, Amar, 2019. "Detecting the Effects of Early-Life Exposures: Why Fecundity Matters," SocArXiv x4zm6, Center for Open Science.
    8. Denis Cogneau & Léa Rouanet, 2009. "Living Conditions in Côte d'Ivoire, Ghana and Western Africa 1925-1985: What Do Survey Data on Height Stature Tell Us?," Working Papers DT/2009/12, DIAL (Développement, Institutions et Mondialisation).
    9. Daniel S. Grossman & David J.G. Slusky, 2019. "The Impact of the Flint Water Crisis on Fertility," Demography, Springer;Population Association of America (PAA), vol. 56(6), pages 2005-2031, December.
    10. Benjamin A. Olken & Junko Onishi & Susan Wong, 2014. "Should Aid Reward Performance? Evidence from a Field Experiment on Health and Education in Indonesia," American Economic Journal: Applied Economics, American Economic Association, vol. 6(4), pages 1-34, October.
    11. Schneider, Eric & Ogasawara, Kota & Cole, Tim J., 2020. "The Effect of the Second World War on the Growth Pattern of Height in Japanese Children: Catch-up Growth, Critical Windows and," CEPR Discussion Papers 14808, C.E.P.R. Discussion Papers.
    12. Dora L. Costa, 2015. "Health and the Economy in the United States from 1750 to the Present," Journal of Economic Literature, American Economic Association, vol. 53(3), pages 503-570, September.
    13. van Ewijk, Reyn & Lindeboom, Maarten, 2022. "Selective mortality and fertility and long run health effects of prenatal wartime exposure," Economics & Human Biology, Elsevier, vol. 47(C).
    14. Rocha, Rudi & Soares, Rodrigo R., 2015. "Water scarcity and birth outcomes in the Brazilian semiarid," Journal of Development Economics, Elsevier, vol. 112(C), pages 72-91.
    15. Pramod Kumar Sur & Masaru Sasaki, 2021. "The Persistent Effect of Famine on Present-Day China: Evidence from the Billionaires," Papers 2104.00935, arXiv.org, revised Apr 2021.
    16. repec:pri:rpdevs:currie_vogl_ar is not listed on IDEAS
    17. Kalle Hirvonen, 2013. "Measuring catch-up growth in malnourished populations," Working Paper Series 5913, Department of Economics, University of Sussex Business School.
    18. Huang, Cheng & Phillips, Michael R. & Zhang, Yali & Zhang, Jingxuan & Shi, Qichang & Song, Zhiqiang & Ding, Zhijie & Pang, Shutao & Martorell, Reynaldo, 2013. "Malnutrition in early life and adult mental health: Evidence from a natural experiment," Social Science & Medicine, Elsevier, vol. 97(C), pages 259-266.
    19. Daniel S. Grossman & David J.G. Slutsky, 2017. "The Effect of an Increase in Lead in the Water System on Fertility and Birth Outcomes: The Case of Flint, Michigan," Working Papers 17-25, Department of Economics, West Virginia University.
    20. Jenna Nobles & Amar Hamoudi, 2019. "Detecting the Effects of Early-Life Exposures: Why Fecundity Matters," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 38(6), pages 783-809, December.
    21. Griffen, Andrew S., 2016. "Height and calories in early childhood," Economics & Human Biology, Elsevier, vol. 20(C), pages 55-69.
    22. Lundborg, Petter & Nilsson, Anton & Rooth, Dan-Olof, 2011. "Does Early Life Health Predict Schooling Within Twin Pairs?," IZA Discussion Papers 5803, Institute of Labor Economics (IZA).

    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:tsu:tewpjp:2017-003. 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: Yoshinori Kurokawa (email available below). General contact details of provider: https://edirc.repec.org/data/iptsujp.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.