Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/yor/hectdg/19-24.html
   My bibliography  Save this paper

Reviewing the Existing Evidence of the Conditional Cash Transfer in India through the Partial Identification Approach

Author

Listed:
  • Aizawa, T.;
Abstract
This paper re-estimates the causal impacts of a conditional cash transfer programme in India, the Janani Suraksha Yojana (JSY), on maternal and child healthcare use. The main goal is to provide new evidence and assess the validity of the identification assumptions employed in previous studies on the JSY, through the conservative partial identification approach. We find that the average treatment effects estimated under the conditional independence assumption lie outside the bound of the treatment effect estimated under weaker but more credible assumptions, thereby suggesting that the selection bias could not have been fully controlled for by the observable characteristics and that the average treatment effects estimated in the previous studies may have been over or under estimated.

Suggested Citation

  • 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.
    • Handle: RePEc:yor:hectdg:19/24
    as

    Download full text from publisher

    File URL: https://www.york.ac.uk/media/economics/documents/hedg/workingpapers/1924.pdf
    File Function: Main text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Charles F. Manski, 2013. "Response to the Review of ‘Public Policy in an Uncertain World’," Economic Journal, Royal Economic Society, vol. 0, pages 412-415, August.
    2. Manski, Charles F, 1990. "Nonparametric Bounds on Treatment Effects," American Economic Review, American Economic Association, vol. 80(2), pages 319-323, May.
    3. 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.
    4. Charles F. Manski, 1997. "Monotone Treatment Response," Econometrica, Econometric Society, vol. 65(6), pages 1311-1334, November.
    5. Hainmueller, Jens, 2012. "Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies," Political Analysis, Cambridge University Press, vol. 20(1), pages 25-46, January.
    6. Ian McCarthy & Daniel L. Millimet & Manan Roy, 2015. "Bounding treatment effects: A command for the partial identification of the average treatment effect with endogenous and misreported treatment assignment," Stata Journal, StataCorp LP, vol. 15(2), pages 411-436, June.
    7. Richard Blundell & Amanda Gosling & Hidehiko Ichimura & Costas Meghir, 2007. "Changes in the Distribution of Male and Female Wages Accounting for Employment Composition Using Bounds," Econometrica, Econometric Society, vol. 75(2), pages 323-363, March.
    8. Sudhanshu Handa & Benjamin Davis, 2006. "The Experience of Conditional Cash Transfers in Latin America and the Caribbean," Working Papers 06-07, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
    9. Guido W. Imbens & Charles F. Manski, 2004. "Confidence Intervals for Partially Identified Parameters," Econometrica, Econometric Society, vol. 72(6), pages 1845-1857, November.
    10. Gundersen, Craig & Kreider, Brent & Pepper, John, 2012. "The impact of the National School Lunch Program on child health: A nonparametric bounds analysis," Journal of Econometrics, Elsevier, vol. 166(1), pages 79-91.
    11. Praveen Kumar Pathak & Abhishek Singh & S V Subramanian, 2010. "Economic Inequalities in Maternal Health Care: Prenatal Care and Skilled Birth Attendance in India, 1992–2006," PLOS ONE, Public Library of Science, vol. 5(10), pages 1-17, October.
    12. Randive, Bharat & San Sebastian, Miguel & De Costa, Ayesha & Lindholm, Lars, 2014. "Inequalities in institutional delivery uptake and maternal mortality reduction in the context of cash incentive program, Janani Suraksha Yojana: Results from nine states in India," Social Science & Medicine, Elsevier, vol. 123(C), pages 1-6.
    13. Victor Chernozhukov & Han Hong & Elie Tamer, 2007. "Estimation and Confidence Regions for Parameter Sets in Econometric Models," Econometrica, Econometric Society, vol. 75(5), pages 1243-1284, September.
    14. 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).
    15. 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.
    16. repec:bla:devpol:v:24:y:2006:i:5:p:513-536 is not listed on IDEAS
    17. Jeremiah Richey, 2016. "An Odd Couple: Monotone Instrumental Variables and Binary Treatments," Econometric Reviews, Taylor & Francis Journals, vol. 35(6), pages 1099-1110, June.
    18. Sarah Barber & Paul Gertler, 2010. "Empowering women: how Mexico's conditional cash transfer programme raised prenatal care quality and birth weight," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 2(1), pages 51-73.
    19. 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.
    20. Brent Kreider & John V. Pepper & Craig Gundersen & Dean Jolliffe, 2012. "Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(499), pages 958-975, September.
    21. David S. Lee, 2009. "Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(3), pages 1071-1102.
    22. 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.
    23. Michael Gerfin & Martin Schellhorn, 2006. "Nonparametric bounds on the effect of deductibles in health care insurance on doctor visits – Swiss evidence," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 1011-1020, September.
    24. Charles F. Manski & John V. Pepper, 2000. "Monotone Instrumental Variables, with an Application to the Returns to Schooling," Econometrica, Econometric Society, vol. 68(4), pages 997-1012, July.
    25. Martin Huber & Lukas Laffers & Giovanni Mellace, 2017. "Sharp IV Bounds on Average Treatment Effects on the Treated and Other Populations Under Endogeneity and Noncompliance," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 56-79, January.
    26. Charles F. Manski, 1989. "Anatomy of the Selection Problem," Journal of Human Resources, University of Wisconsin Press, vol. 24(3), pages 343-360.
    27. 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.
    28. Joshi, Shareen & Sivaram, Anusuya, 2014. "Does it Pay to Deliver? An Evaluation of India’s Safe Motherhood Program," World Development, Elsevier, vol. 64(C), pages 434-447.
    29. Libertad González, 2005. "Nonparametric bounds on the returns to language skills," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(6), pages 771-795.
    30. Bassett, Lucy, 2008. "Can conditional cash transfer programs play a greater role in reducing child undernutrition?," Social Protection Discussion Papers and Notes 46687, The World Bank.
    31. Powell-Jackson, Timothy & Pereira, Shreya K. & Dutt, Varun & Tougher, Sarah & Haldar, Kaveri & Kumar, Paresh, 2016. "Cash transfers, maternal depression and emotional well-being: Quasi-experimental evidence from India’s Janani Suraksha Yojana programme," Social Science & Medicine, Elsevier, vol. 162(C), pages 210-218.
    32. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.
    33. Craig Gundersen & Brent Kreider & John V. Pepper, 2017. "Partial Identification Methods for Evaluating Food Assistance Programs: A Case Study of the Causal Impact of SNAP on Food Insecurity," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(4), pages 875-893.
    34. Marie Gaarder & Amanda Glassman & Jessica Todd, 2010. "Conditional cash transfers and health: unpacking the causal chain," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 2(1), pages 6-50.
    35. 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.
    36. Laura B. Rawlings, 2005. "Evaluating the Impact of Conditional Cash Transfer Programs," The World Bank Research Observer, World Bank, vol. 20(1), pages 29-55.
    37. Mark Montgomery & Michele Gragnolati & Kathleen Burke & Edmundo Paredes, 2000. "Measuring living standards with proxy variables," Demography, Springer;Population Association of America (PAA), vol. 37(2), pages 155-174, May.
    38. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2012. "Causal Inference without Balance Checking: Coarsened Exact Matching," Political Analysis, Cambridge University Press, vol. 20(1), pages 1-24, January.
    39. Donna K. Ginther, 2000. "Alternative Estimates of the Effect of Schooling on Earnings," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 103-116, February.
    40. Jose Urquieta & Gustavo Angeles & Thomas Mroz & Hector Lamadrid-Figueroa & Bernardo Hernández, 2009. "Impact of Oportunidades on Skilled Attendance at Delivery in Rural Areas," Economic Development and Cultural Change, University of Chicago Press, vol. 57(3), pages 539-558, April.
    41. Natalie Carvalho & Naveen Thacker & Subodh S Gupta & Joshua A Salomon, 2014. "More Evidence on the Impact of India's Conditional Cash Transfer Program, Janani Suraksha Yojana: Quasi-Experimental Evaluation of the Effects on Childhood Immunization and Other Reproductive and Chil," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-13, October.
    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. Francesca Molinari, 2020. "Microeconometrics with Partial Identi?cation," CeMMAP working papers CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Tsunao Okumura & Emiko Usui, 2014. "Concave‐monotone treatment response and monotone treatment selection: With an application to the returns to schooling," Quantitative Economics, Econometric Society, vol. 5, pages 175-194, March.
    3. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Kate Ho & Adam M. Rosen, 2015. "Partial Identification in Applied Research: Benefits and Challenges," NBER Working Papers 21641, National Bureau of Economic Research, Inc.
    5. Wooyoung Kim & Koohyun Kwon & Soonwoo Kwon & Sokbae Lee, 2018. "The identification power of smoothness assumptions in models with counterfactual outcomes," Quantitative Economics, Econometric Society, vol. 9(2), pages 617-642, July.
    6. Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2015. "Going Beyond LATE: Bounding Average Treatment Effects of Job Corps Training," IZA Discussion Papers 9511, Institute of Labor Economics (IZA).
    7. Michael Lechner & Blaise Melly, 2010. "Partial Idendification of Wage Effects of Training Programs," Working Papers 2010-8, Brown University, Department of Economics.
    8. Lukáš Lafférs, 2019. "Identification in Models with Discrete Variables," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 657-696, February.
    9. Victor Chernozhukov & Sokbae Lee & Adam M. Rosen, 2013. "Intersection Bounds: Estimation and Inference," Econometrica, Econometric Society, vol. 81(2), pages 667-737, March.
    10. Stefan Boes, 2009. "Bounds on Counterfactual Distributions Under Semi-Monotonicity Constraints," SOI - Working Papers 0920, Socioeconomic Institute - University of Zurich.
    11. Martin Huber & Giovanni Mellace, 2015. "Sharp Bounds on Causal Effects under Sample Selection," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 129-151, February.
    12. Bhattacharya, Jay & Shaikh, Azeem M. & Vytlacil, Edward, 2012. "Treatment effect bounds: An application to Swan–Ganz catheterization," Journal of Econometrics, Elsevier, vol. 168(2), pages 223-243.
    13. Matthew A. Masten & Alexandre Poirier, 2021. "Salvaging Falsified Instrumental Variable Models," Econometrica, Econometric Society, vol. 89(3), pages 1449-1469, May.
    14. Grant, Charles & Padula, Mario, 2013. "Using bounds to investigate household debt repayment behaviour," Research in Economics, Elsevier, vol. 67(4), pages 336-354.
    15. Charles F. Manski & John V. Pepper, 2018. "How Do Right-to-Carry Laws Affect Crime Rates? Coping with Ambiguity Using Bounded-Variation Assumptions," The Review of Economics and Statistics, MIT Press, vol. 100(2), pages 232-244, May.
    16. Millimet, Daniel L. & Roy, Jayjit, 2015. "Multilateral environmental agreements and the WTO," Economics Letters, Elsevier, vol. 134(C), pages 20-23.
    17. Christelis, Dimitris & Messina, Julián, 2019. "Partial Identification of Population Average and Quantile Treatment Effects in Observational Data under Sample Selection," IDB Publications (Working Papers) 9520, Inter-American Development Bank.
    18. 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.
    19. Jeremiah Richey, 2016. "An Odd Couple: Monotone Instrumental Variables and Binary Treatments," Econometric Reviews, Taylor & Francis Journals, vol. 35(6), pages 1099-1110, June.
    20. Victor Chernozhukov & Wooyoung Kim & Sokbae Lee & Adam M. Rosen, 2015. "Implementing intersection bounds in Stata," Stata Journal, StataCorp LP, vol. 15(1), pages 21-44, March.

    More about this item

    Keywords

    conditional cash transfer; partial identification; conditional independence; 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

    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:yor:hectdg:19/24. 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: Jane Rawlings (email available below). General contact details of provider: https://edirc.repec.org/data/deyoruk.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.