IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v42y2010i28p3565-3583.html
   My bibliography  Save this article

Conditional cash transfers and female schooling: the impact of the female school stipend programme on public school enrolments in Punjab, Pakistan

Author

Listed:
  • Nazmul Chaudhury
  • Dilip Parajuli

Abstract

Instead of mean-tested Conditional Cash Transfer (CCT) programmes, some countries have implemented gender-targeted CCTs to explicitly address intra-household disparities in human capital investments. This study focuses on addressing the direct impact of a female school stipend programme in Punjab, Pakistan - Did the intervention increase female enrolment in public schools? To address this question, we draw upon data from the provincial school censuses 2003 and 2005. We estimate the net growth in female enrolments in grade 6-8 in stipend eligible schools. Impact evaluation analysis, including difference-and-difference (DD), triple differencing (DDD) and regression-discontinuity design (RDD), indicate a modest but statistically significant impact of the intervention. The preferred estimator derived from a combination of DDD and RDD empirical strategies suggests that the average programme impact between 2003 and 2005 was an increase of six female students per school in terms of absolute change and an increase of 9% in female enrolment in terms of relative change. A triangulation effort is also undertaken using two rounds of a nationally representative household survey before and after the intervention. Even though the surveys are not representative at the sub-provincial level, the results corroborate evidence of the impact using school census data.

Suggested Citation

  • Nazmul Chaudhury & Dilip Parajuli, 2010. "Conditional cash transfers and female schooling: the impact of the female school stipend programme on public school enrolments in Punjab, Pakistan," Applied Economics, Taylor & Francis Journals, vol. 42(28), pages 3565-3583.
  • Handle: RePEc:taf:applec:v:42:y:2010:i:28:p:3565-3583
    DOI: 10.1080/00036840802167376
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840802167376
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036840802167376?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. Jens Ludwig & Douglas L. Miller, 2007. "Does Head Start Improve Children's Life Chances? Evidence from a Regression Discontinuity Design," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(1), pages 159-208.
    2. Doug Miller & Jens Ludwig, 2005. "Does Head Start Improve Children?s Life Chances? Evidence from a Regression Discontinuity Design," Working Papers 54, University of California, Davis, Department of Economics.
    3. Doug Miller & Jens Ludwig, 2005. "Does Head Start Improve Children?s Life Chances? Evidence from a Regression Discontinuity Design," Working Papers 534, University of California, Davis, Department of Economics.
    4. Alain de Janvry & Elisabeth Sadoulet, 2006. "Making Conditional Cash Transfer Programs More Efficient: Designing for Maximum Effect of the Conditionality," The World Bank Economic Review, World Bank, vol. 20(1), pages 1-29.
    5. Khandker, Shahidur & Pitt, Mark & Fuwa, Nobuhiko, 2003. "Subsidy to Promote Girls' Secondary Education: The Female Stipend Program in Bangladesh," MPRA Paper 23688, University Library of Munich, Germany.
    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. Chaudhury, Nazmul & Parajuli, Dilip, 2006. "Conditional cash transfers and female schooling : the impact of the female school stipend program on public school enrollments in Punjab, Pakistan," Policy Research Working Paper Series 4102, The World Bank.
    2. Eibich, Peter & Siedler, Thomas, 2020. "Retirement, intergenerational time transfers, and fertility," European Economic Review, Elsevier, vol. 124(C).
    3. David S. Lee & Thomas Lemieux, 2009. "Regression Discontinuity Designs In Economics," Working Papers 1118, Princeton University, Department of Economics, Industrial Relations Section..
    4. Daniel Muller & Lionel Page, 2013. "Political Selection and the Relative Age Effect," QuBE Working Papers 009, QUT Business School.
    5. Yoichi Arai & Hidehiko Ichimura, 2013. "Optimal Bandwidth Selection for Differences of Nonparametric Estimators with an Application to the Sharp Regression Discontinuity Design," CIRJE F-Series CIRJE-F-889, CIRJE, Faculty of Economics, University of Tokyo.
    6. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    7. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    8. Miron Tequame & Nyasha Tirivayi, 2015. "Higher education and fertility: Evidence from a natural experiment in Ethiopia," CINCH Working Paper Series 1509, Universitaet Duisburg-Essen, Competent in Competition and Health, revised Aug 2015.
    9. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    10. Kettlewell, Nathan & Siminski, Peter, 2020. "Optimal Model Selection in RDD and Related Settings Using Placebo Zones," IZA Discussion Papers 13639, Institute of Labor Economics (IZA).
    11. Benjamin M. Marx & Lesley J. Turner, 2015. "Borrowing Trouble? Student Loans, the Cost of Borrowing, and Implications for the Effectiveness of Need-Based Grant Aid," NBER Working Papers 20850, National Bureau of Economic Research, Inc.
    12. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," Review of Economic Studies, Oxford University Press, vol. 79(3), pages 933-959.
    13. Philip Gleason & Alexandra Resch & Jillian Berk, 2018. "RD or Not RD: Using Experimental Studies to Assess the Performance of the Regression Discontinuity Approach," Evaluation Review, , vol. 42(1), pages 3-33, February.
    14. Maria Knoth Humlum & Rune Majlund Vejlin, 2013. "The Responses Of Youth To A Cash Transfer Conditional On Schooling: A Quasi‐Experimental Study," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(4), pages 628-649, June.
    15. Porter, Jack & Yu, Ping, 2015. "Regression discontinuity designs with unknown discontinuity points: Testing and estimation," Journal of Econometrics, Elsevier, vol. 189(1), pages 132-147.
    16. Dan Levy & Jim Ohls, "undated". "Evaluation of Jamaica's PATH Program," Mathematica Policy Research Reports a966b4fee12348a99371de277, Mathematica Policy Research.
    17. Anne Sofie Tegner Anker & Jennifer L. Doleac & Rasmus Landersø, 2021. "The Effects of DNA Databases on the Deterrence and Detection of Offenders," American Economic Journal: Applied Economics, American Economic Association, vol. 13(4), pages 194-225, October.
    18. Austin Nichols, 2007. "Causal inference with observational data," Stata Journal, StataCorp LP, vol. 7(4), pages 507-541, December.
    19. Almond, Douglas & Currie, Janet, 2011. "Human Capital Development before Age Five," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 15, pages 1315-1486, Elsevier.
    20. Yang Tang & Thomas D. Cook, 2018. "Statistical Power for the Comparative Regression Discontinuity Design With a Pretest No-Treatment Control Function: Theory and Evidence From the National Head Start Impact Study," Evaluation Review, , vol. 42(1), pages 71-110, February.

    More about this item

    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:taf:applec:v:42:y:2010:i:28:p:3565-3583. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.