IDEAS home Printed from https://ideas.repec.org/a/eee/ehbiol/v31y2018icp164-183.html
   My bibliography  Save this article

How much do conditional cash transfers increase the utilization of maternal and child health care services? New evidence from Janani Suraksha Yojana in India

Author

Listed:
  • Rahman, Mohammad Mahbubur
  • Pallikadavath, Saseendran

Abstract

Janani Suraksha Yojana (safe motherhood scheme, or JSY) provides cash incentives to marginal pregnant women in India conditional on having mainly institutional delivery. Using the fourth round of district level household survey (DLHS-4), we have estimated its effects on both intended and unintended outcomes. Our estimates of average treatment effect on the treated (ATT) from propensity score matching are remarkably higher than those found in previous prominent studies using the second and third rounds of the survey (DLHS-2 and DLHS-3). When we apply fuzzy regression discontinuity design exploiting the second birth order, our estimates of local average treatment effect (LATE) are much higher than that of ATT. For example, due to JSY, institutional delivery increases by around 16 percentage points according to ATT estimate but about 23 percentage points according to LATE estimate.

Suggested Citation

  • Rahman, Mohammad Mahbubur & Pallikadavath, Saseendran, 2018. "How much do conditional cash transfers increase the utilization of maternal and child health care services? New evidence from Janani Suraksha Yojana in India," Economics & Human Biology, Elsevier, vol. 31(C), pages 164-183.
  • Handle: RePEc:eee:ehbiol:v:31:y:2018:i:c:p:164-183
    DOI: 10.1016/j.ehb.2018.08.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1570677X18300649
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ehb.2018.08.007?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. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
    2. Powell-Jackson, Timothy & Mazumdar, Sumit & Mills, Anne, 2015. "Financial incentives in health: New evidence from India's Janani Suraksha Yojana," Journal of Health Economics, Elsevier, vol. 43(C), pages 154-169.
    3. Arindam Nandi & Ramanan Laxminarayan, 2016. "The unintended effects of cash transfers on fertility: evidence from the Safe Motherhood Scheme in India," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(2), pages 457-491, April.
    4. Aakvik, Arild, 2001. "Bounding a Matching Estimator: The Case of a Norwegian Training Program," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(1), pages 115-143, February.
    5. Powell-Jackson, Timothy & Hanson, Kara, 2012. "Financial incentives for maternal health: Impact of a national programme in Nepal," Journal of Health Economics, Elsevier, vol. 31(1), pages 271-284.
    6. Ensor, Tim & Chhun, Chhim & Kimsun, Ton & McPake, Barbara & Edoka, Ijeoma, 2017. "Impact of health financing policies in Cambodia: A 20 year experience," Social Science & Medicine, Elsevier, vol. 177(C), pages 118-126.
    7. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    8. Matias Busso & John DiNardo & Justin McCrary, 2014. "New Evidence on the Finite Sample Properties of Propensity Score Reweighting and Matching Estimators," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 885-897, December.
    9. Ahmed, Shakil & Khan, M. Mahmud, 2011. "Is demand-side financing equity enhancing? Lessons from a maternal health voucher scheme in Bangladesh," Social Science & Medicine, Elsevier, vol. 72(10), pages 1704-1710, May.
    10. Doyle, Orla & Harmon, Colm P. & Heckman, James J. & Tremblay, Richard E., 2009. "Investing in early human development: Timing and economic efficiency," Economics & Human Biology, Elsevier, vol. 7(1), pages 1-6, March.
    11. Lee, David S. & Card, David, 2008. "Regression discontinuity inference with specification error," Journal of Econometrics, Elsevier, vol. 142(2), pages 655-674, February.
    12. 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, Oxford University Press, vol. 122(1), pages 159-208.
    13. 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.
    14. Belfield, Clive R. & Kelly, Inas Rashad, 2013. "Early education and health outcomes of a 2001 U.S. Birth Cohort," Economics & Human Biology, Elsevier, vol. 11(3), pages 310-325.
    15. de Brauw, Alan & Peterman, Amber, 2011. "Can conditional cash transfers improve maternal health and birth outcomes?: Evidence from El Salvador's Comunidades Solidarias Rurales," IFPRI discussion papers 1080, International Food Policy Research Institute (IFPRI).
    16. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    17. Thaddeus, Sereen & Maine, Deborah, 1994. "Too far to walk: Maternal mortality in context," Social Science & Medicine, Elsevier, vol. 38(8), pages 1091-1110, April.
    18. Arindam Nandi & Ramanan Laxminarayan, 2016. "The unintended effects of cash transfers on fertility: evidence from the Safe Motherhood Scheme in India," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(2), pages 457-491, April.
    19. M. R. Bhatia & A. C. Gorter, 2007. "Improving access to reproductive and child health services in developing countries: are competitive voucher schemes an option?," Journal of International Development, John Wiley & Sons, Ltd., vol. 19(7), pages 975-981.
    20. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    21. Arild Aakvik, 2001. "Bounding a Matching Estimator: The Case of a Norwegian Training Program," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(1), pages 115-143, February.
    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. Tulasi Malini Maharatha & Sumirtha Gandhi & Umakant Dash, 2021. "Has the Demand and Supply-side Components of Janani Suraksha Yojana Augmented the Uptake of Maternal Health Care Services among Poor Women in India ? : An Application of Hybrid Matching Technique," BASE University Working Papers 08/2021, BASE University, Bengaluru, India.
    2. So O'Neil & Divya Vohra & Matthew Spitzer & Shveta Kalyanwala & Dana Rotz, "undated". "Maternal Health Care Quality and Outcomes Under the Utkrisht Impact Bond: Midline Findings and Insights," Mathematica Policy Research Reports 159825ed8e034ce396cd6422c, Mathematica Policy Research.
    3. Aizawa, T.;, 2019. "Reviewing the Existing Evidence of the Conditional Cash Transfer in India through the Partial Identification Approach," Health, Econometrics and Data Group (HEDG) Working Papers 19/24, HEDG, c/o Department of Economics, University of York.

    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. 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.
    2. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    3. Guido Imbens & Stefan Wager, 2019. "Optimized Regression Discontinuity Designs," The Review of Economics and Statistics, MIT Press, vol. 101(2), pages 264-278, May.
    4. 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.
    5. Tulasi Malini Maharatha & Sumirtha Gandhi & Umakant Dash, 2021. "Has the Demand and Supply-side Components of Janani Suraksha Yojana Augmented the Uptake of Maternal Health Care Services among Poor Women in India ? : An Application of Hybrid Matching Technique," BASE University Working Papers 08/2021, BASE University, Bengaluru, India.
    6. Markus Frölich & Martin Huber, 2019. "Including Covariates in the Regression Discontinuity Design," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(4), pages 736-748, October.
    7. Aizawa, T.;, 2019. "Reviewing the Existing Evidence of the Conditional Cash Transfer in India through the Partial Identification Approach," Health, Econometrics and Data Group (HEDG) Working Papers 19/24, HEDG, c/o Department of Economics, University of York.
    8. Chad D. Meyerhoefer & Muzhe Yang, 2011. "The Relationship between Food Assistance and Health: A Review of the Literature and Empirical Strategies for Identifying Program Effects," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(3), pages 304-344.
    9. Mellace, Giovanni & Ventura, Marco, 2019. "Intended and unintended effects of public incentives for innovation. Quasi-experimental evidence from Italy," Discussion Papers of Business and Economics 9/2019, University of Southern Denmark, Department of Business and Economics.
    10. David S. Lee & Thomas Lemieux, 2009. "Regression Discontinuity Designs In Economics," Working Papers 1118, Princeton University, Department of Economics, Industrial Relations Section..
    11. Jeffrey Smith & Arthur Sweetman, 2016. "Viewpoint: Estimating the causal effects of policies and programs," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 871-905, August.
    12. Gong, Jie & Lu, Yi & Xie, Huihua, 2020. "The average and distributional effects of teenage adversity on long-term health," Journal of Health Economics, Elsevier, vol. 71(C).
    13. Matti Sarvimäki & Kari Hämäläinen, 2016. "Integrating Immigrants: The Impact of Restructuring Active Labor Market Programs," Journal of Labor Economics, University of Chicago Press, vol. 34(2), pages 479-508.
    14. Kalena E. Cortes & Joshua S. Goodman & Takako Nomi, 2015. "Intensive Math Instruction and Educational Attainment: Long-Run Impacts of Double-Dose Algebra," Journal of Human Resources, University of Wisconsin Press, vol. 50(1), pages 108-158.
    15. Timothy B Armstrong & Michal Kolesár, 2018. "A Simple Adjustment for Bandwidth Snooping," Review of Economic Studies, Oxford University Press, vol. 85(2), pages 732-765.
    16. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    17. Davezies, Laurent & Le Barbanchon, Thomas, 2017. "Regression discontinuity design with continuous measurement error in the running variable," Journal of Econometrics, Elsevier, vol. 200(2), pages 260-281.
    18. Bartalotti Otávio, 2019. "Regression Discontinuity and Heteroskedasticity Robust Standard Errors: Evidence from a Fixed-Bandwidth Approximation," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-26, January.
    19. Jin-young Choi & Myoung-jae Lee, 2017. "Regression discontinuity: review with extensions," Statistical Papers, Springer, vol. 58(4), pages 1217-1246, December.
    20. Gerard, Francois & Rokkanen, Miikka & Rothe, Christoph, 2015. "Identification and Inference in Regression Discontinuity Designs with a Manipulated Running Variable," IZA Discussion Papers 9604, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    Janani Suraksha Yojana; Demand-side financing; Propensity score matching; India;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    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:eee:ehbiol:v:31:y:2018:i:c:p:164-183. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.elsevier.com/locate/inca/622964 .

    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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622964 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.