IDEAS home Printed from https://ideas.repec.org/a/spr/demogr/v53y2016i3d10.1007_s13524-016-0472-z.html
   My bibliography  Save this article

Maternal Risk Exposure and Adult Daughters’ Health, Schooling, and Employment: A Constructed Cohort Analysis of 50 Developing Countries

Author

Listed:
  • Qingfeng Li

    (Johns Hopkins Bloomberg School of Public Health)

  • Amy O. Tsui

    (Johns Hopkins Bloomberg School of Public Health)

Abstract

This study analyzes the relationships between maternal risk factors present at the time of daughters’ births—namely, young mother, high parity, and short preceding birth interval—and their subsequent adult developmental, reproductive, and socioeconomic outcomes. Pseudo-cohorts are constructed using female respondent data from 189 cross-sectional rounds of Demographic and Health Surveys conducted in 50 developing countries between 1986 and 2013. Generalized linear models are estimated to test the relationships and calculate cohort-level outcome proportions with the systematic elimination of the three maternal risk factors. The simulation exercise for the full sample of 2,546 pseudo-cohorts shows that the combined elimination of risk exposures is associated with lower mean proportions of adult daughters experiencing child mortality, having a small infant at birth, and having a low body mass index. Among sub-Saharan African cohorts, the estimated changes are larger, particularly for years of schooling. The pseudo-cohort approach can enable longitudinal testing of life course hypotheses using large-scale, standardized, repeated cross-sectional data and with considerable resource efficiency.

Suggested Citation

  • Qingfeng Li & Amy O. Tsui, 2016. "Maternal Risk Exposure and Adult Daughters’ Health, Schooling, and Employment: A Constructed Cohort Analysis of 50 Developing Countries," Demography, Springer;Population Association of America (PAA), vol. 53(3), pages 835-863, June.
    • Handle: RePEc:spr:demogr:v:53:y:2016:i:3:d:10.1007_s13524-016-0472-z
    DOI: 10.1007/s13524-016-0472-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13524-016-0472-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13524-016-0472-z?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. Moffitt, Robert, 1993. "Identification and estimation of dynamic models with a time series of repeated cross-sections," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 99-123, September.
    2. Verbeek, Marno & Nijman, Theo, 1992. "Can Cohort Data Be Treated as Genuine Panel Data?," Empirical Economics, Springer, vol. 17(1), pages 9-23.
    3. Nijman, T.E. & Verbeek, M.J.C.M., 1992. "Can cohort data be treated as genuine panal data?," Other publications TiSEM 03b18da0-e22f-4b8a-b605-c, Tilburg University, School of Economics and Management.
    4. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    5. Nancy Folbre, 2014. "The Care Economy in Africa: Subsistence Production and Unpaid Care," Journal of African Economies, Centre for the Study of African Economies, vol. 23(suppl_1), pages 128-156.
    6. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    7. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Can cohort data be treated as genuine panel data?," Other publications TiSEM d4eada8f-b91c-4fe7-a58c-7, Tilburg University, School of Economics and Management.
    8. Kathryn Yount & Sarah Zureick-Brown & Nafisa Halim & Kayla LaVilla, 2014. "Fertility Decline, Girls’ Well-being, and Gender Gaps in Children’s Well-being in Poor Countries," Demography, Springer;Population Association of America (PAA), vol. 51(2), pages 535-561, April.
    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. Verbeek, Marno & Vella, Francis, 2005. "Estimating dynamic models from repeated cross-sections," Journal of Econometrics, Elsevier, vol. 127(1), pages 83-102, July.
    2. Xavier d'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2013. "Nonlinear difference-in-differences in repeated cross sections with continuous treatments," CeMMAP working papers CWP40/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Ortiz, Rodrigo & Fernandez, Viviana, 2022. "Business perception of obstacles to innovate: Evidence from Chile with pseudo-panel data analysis," Research in International Business and Finance, Elsevier, vol. 59(C).
    4. Dang,Hai-Anh H. & Lanjouw,Peter F., 2013. "Measuring poverty dynamics with synthetic panels based on cross-sections," Policy Research Working Paper Series 6504, The World Bank.
    5. Daniel Bukstein & Nestor Gandelman, 2014. "Intra-Generational Social Mobility and Entrepreneurship in Uruguay," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 51(2), pages 227-245, November.
    6. Lavin, Felipe Vasquez & Bratti, Luna & Orrego, Sergio & Barrientos, Manuel, 2020. "Assessing the Use of Pseudo-panels to Estimate the Value of Statistical Life in Developing Countries," EfD Discussion Paper 20-20, Environment for Development, University of Gothenburg.
    7. Tamvada, Jagannadha Pawan, 2010. "The Dynamics of Self-employment in a Developing Country: Evidence from India," MPRA Paper 20042, University Library of Munich, Germany.
    8. Hai‐Anh H. Dang & Peter F. Lanjouw, 2023. "Measuring Poverty Dynamics with Synthetic Panels Based on Repeated Cross Sections," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 599-622, June.
    9. Lucio Masserini & Caterina Liberati & Paolo Mariani, 2017. "Quality service in banking: a longitudinal approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(2), pages 509-523, March.
    10. Kengo Igei, 2018. "Managing Were the Adverse Effects of Disability on Employment Mitigated during 2002-2015 in South Africa?: A Pseudo-Panel Approach," Working Papers 168, JICA Research Institute.
    11. Emrehan Aktuğ & Tolga Umut Kuzubaş & Orhan Torul, 2021. "Heterogeneity in labor income profiles: evidence from Turkey," Empirical Economics, Springer, vol. 60(5), pages 2557-2587, May.
    12. Paul J. Devereux, 2007. "Small-sample bias in synthetic cohort models of labor supply," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 839-848.
    13. Gassner, Katharina, 1998. "An estimation of UK telephone access demand using Pseudo-Panel data," Utilities Policy, Elsevier, vol. 7(3), pages 143-154, November.
    14. Artūras Juodis, 2018. "Pseudo Panel Data Models With Cohort Interactive Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 47-61, January.
    15. Rumman Khan, 2018. "Assessing cohort aggregation to minimise bias in pseudo-panels," Discussion Papers 2018-01, University of Nottingham, CREDIT.
    16. Kanang Amos Akims & Perez Ayieko Onono & Dianah Mukwate Ngui, . "Trade Liberalization and Productivity in the Nigerian Manufacturing Sector," Journal of Economic and Sustainable Growth 3, Office Of The Chief Economist, Development Bank of Nigeria.
    17. Sasiwimon Warunsiri Paweenawat & Lusi Liao, 2019. "“Gold Miss†or “Earthy Mom†? Evidence from Thailand," PIER Discussion Papers 110, Puey Ungphakorn Institute for Economic Research.
    18. Katharina GASSNER, 1998. "An Estimation of UK Telephone Access Demand Using Pseudo-Panel Data," Cahiers de Recherches Economiques du Département d'économie 9817, Université de Lausanne, Faculté des HEC, Département d’économie.
    19. Dolores Collado, M., 1997. "Estimating dynamic models from time series of independent cross-sections," Journal of Econometrics, Elsevier, vol. 82(1), pages 37-62.
    20. Rumman Khan, 2021. "Assessing Sampling Error in Pseudo‐Panel Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 742-769, June.

    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:53:y:2016:i:3:d:10.1007_s13524-016-0472-z. 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.