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Incentivized Peer Referrals for Tuberculosis Screening: Evidence from India

Author

Listed:
  • Jessica Goldberg
  • Mario Macis
  • Pradeep Chintagunta
Abstract
We study whether and how peer referrals increase screening, testing, and identification of patients with tuberculosis, an infectious disease responsible for over one million deaths annually. In an experiment with 3,176 patients at 122 tuberculosis treatment centers in India, we find that small financial incentives raise the probability that existing patients refer prospective patients for screening and testing, resulting in cost-effective identification of new cases. Incentivized referrals operate through two mechanisms: peers have private information about individuals in their social networks to target for outreach, and they are more effective than health workers in inducing these individuals to get tested.

Suggested Citation

  • Jessica Goldberg & Mario Macis & Pradeep Chintagunta, 2018. "Incentivized Peer Referrals for Tuberculosis Screening: Evidence from India," NBER Working Papers 25279, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:25279
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    1. Lori Beaman & Ariel BenYishay & Jeremy Magruder & Ahmed Mushfiq Mobarak, 2021. "Can Network Theory-Based Targeting Increase Technology Adoption?," American Economic Review, American Economic Association, vol. 111(6), pages 1918-1943, June.
    2. Lori Beaman & Jeremy Magruder, 2012. "Who Gets the Job Referral? Evidence from a Social Networks Experiment," American Economic Review, American Economic Association, vol. 102(7), pages 3574-3593, December.
    3. Kugler, Adriana D., 2003. "Employee referrals and efficiency wages," Labour Economics, Elsevier, vol. 10(5), pages 531-556, October.
    4. Achim Ahrens & Christian B. Hansen & Mark E Schaffer, 2018. "PDSLASSO: Stata module for post-selection and post-regularization OLS or IV estimation and inference," Statistical Software Components S458459, Boston College Department of Economics, revised 06 Aug 2024.
    5. Fafchamps, Marcel & Islam, Asad & Pakrashi, Debayan & Malek, Abdul, 2017. "Can Referral Improve Targeting? Evidence from a Vocational Training Experiment," CEPR Discussion Papers 12070, C.E.P.R. Discussion Papers.
    6. Balat, Jorge & Papageorge, Nicholas W. & Qayyum, Shaiza, 2017. "Positively Aware? Conflicting Expert Reviews and Demand for Medical Treatment," IZA Discussion Papers 10919, Institute of Labor Economics (IZA).
    7. Abhijit Banerjee & Arun G Chandrasekhar & Esther Duflo & Matthew O Jackson, 2019. "Using Gossips to Spread Information: Theory and Evidence from Two Randomized Controlled Trials," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(6), pages 2453-2490.
    8. David Godes & Dina Mayzlin, 2009. "Firm-Created Word-of-Mouth Communication: Evidence from a Field Test," Marketing Science, INFORMS, vol. 28(4), pages 721-739, 07-08.
    9. Emily Oster & Rebecca Thornton, 2012. "Determinants Of Technology Adoption: Peer Effects In Menstrual Cup Take-Up," Journal of the European Economic Association, European Economic Association, vol. 10(6), pages 1263-1293, December.
    10. Yoko Laurence & Ulla Griffiths & Anna Vassall, 2015. "Costs to Health Services and the Patient of Treating Tuberculosis: A Systematic Literature Review," PharmacoEconomics, Springer, vol. 33(9), pages 939-955, September.
    11. Pope, Devin G., 2009. "Reacting to rankings: Evidence from "America's Best Hospitals"," Journal of Health Economics, Elsevier, vol. 28(6), pages 1154-1165, December.
    12. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "Inference on Treatment Effects after Selection among High-Dimensional Controlsâ€," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 608-650.
    13. Vivi Alatas & Abhijit Banerjee & Arun G. Chandrasekhar & Rema Hanna & Benjamin A. Olken, 2016. "Network Structure and the Aggregation of Information: Theory and Evidence from Indonesia," American Economic Review, American Economic Association, vol. 106(7), pages 1663-1704, July.
    14. Miller, Grant & Luo, Renfu & Zhang, Linxiu & Sylvia, Sean & Shi, Yaojiang & Foo, Patricia & Zhao, Qiran & Martorell, Reynaldo & Medina, Alexis & Rozelle, Scott, 2012. "Effectiveness of provider incentives for anaemia reduction in rural China: a cluster randomised trial," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 345, pages 1-10.
    15. Shing-Yi Wang, 2013. "Marriage Networks, Nepotism, and Labor Market Outcomes in China," American Economic Journal: Applied Economics, American Economic Association, vol. 5(3), pages 91-112, July.
    16. Rebecca L. Thornton, 2008. "The Demand for, and Impact of, Learning HIV Status," American Economic Review, American Economic Association, vol. 98(5), pages 1829-1863, December.
    17. Mitchell Hoffman, 2017. "The value of hiring through employee referrals in developed countries," IZA World of Labor, Institute of Labor Economics (IZA), pages 369-369, June.
    18. Fafchamps, Marcel & Islam, Asad & Malek, Mohammad Abdul & Pakrashi, Debayan, 2020. "Can referral improve targeting? Evidence from an agricultural training experiment," Journal of Development Economics, Elsevier, vol. 144(C).
    19. Andreoni, James, 1990. "Impure Altruism and Donations to Public Goods: A Theory of Warm-Glow Giving?," Economic Journal, Royal Economic Society, vol. 100(401), pages 464-477, June.
    20. Niruparani Charles & Beena Thomas & Basilea Watson & Raja Sakthivel M. & Chandrasekeran V. & Fraser Wares, 2010. "Care Seeking Behavior of Chest Symptomatics: A Community Based Study Done in South India after the Implementation of the RNTCP," PLOS ONE, Public Library of Science, vol. 5(9), pages 1-6, September.
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    Cited by:

    1. Guido Friebel & Matthias Heinz & Mitchell Hoffman & Nick Zubanov, 2023. "What Do Employee Referral Programs Do? Measuring the Direct and Overall Effects of a Management Practice," Journal of Political Economy, University of Chicago Press, vol. 131(3), pages 633-686.
    2. Seema Kacker & Mario Macis & Prateek Gajwani & David S. Friedman, 2022. "Providing vouchers and value information for already free eye exams increases uptake among a low‐income minority population: A randomized trial," Health Economics, John Wiley & Sons, Ltd., vol. 31(3), pages 541-551, March.
    3. Thomas Bossuroy & Clara Delavallade & Vincent Pons, 2019. "Biometric Tracking, Healthcare Provision, and Data Quality: Experimental Evidence from Tuberculosis Control," NBER Working Papers 26388, National Bureau of Economic Research, Inc.
    4. Alessandro Tarozzi & Ricardo Maertens & Kazi Matin Ahmed & Alexander van Geen, 2021. "Demand for Information on Environmental Health Risk, Mode of Delivery, and Behavioral Change: Evidence from Sonargaon, Bangladesh," The World Bank Economic Review, World Bank, vol. 35(3), pages 764-792.
    5. Lagarde, Mylène & Riumallo Herl, Carlos, 2025. "Better together? Group incentives and the demand for prevention," LSE Research Online Documents on Economics 125349, London School of Economics and Political Science, LSE Library.

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    More about this item

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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