IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/25279.html
   My bibliography  Save this paper

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
    Note: DEV HE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w25279.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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 24 Jan 2019.
    5. 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).
    6. Fafchamps, Marcel & Islam, Asadul & Malek, Abdul & Pakrashi, Debayan, 2017. "Can Referral Improve Targeting? Evidence from a Vocational Training Experiment," CEPR Discussion Papers 12070, C.E.P.R. Discussion Papers.
    7. 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).
    8. Abhijit Banerjee & Arun G Chandrasekhar & Esther Duflo & Matthew O Jackson, 2019. "Using Gossips to Spread Information: Theory and Evidence from Two Randomized Controlled Trials," Review of Economic Studies, Oxford University Press, vol. 86(6), pages 2453-2490.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "Inference on Treatment Effects after Selection among High-Dimensional Controlsâ€," Review of Economic Studies, Oxford University Press, vol. 81(2), pages 608-650.
    15. 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.
    16. 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, pages 1-10.
    17. 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.
    18. 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.
    19. 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.
    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. Guido Friebel & Matthias Heinz & Mitchell Hoffman & Nick Zubanov, 2019. "What Do Employee Referral Programs Do? Measuring the Direct and Overall Effects of a Management Practice," NBER Working Papers 25920, National Bureau of Economic Research, Inc.
    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. Tarozzi,Alessandro & Maertens,Ricardo & Ahmed,Kazi Matin Uddin & van Geen,Alexander, 2020. "Demand for Information on Environmental Health Risk, Mode of Delivery, and Behavioral Change : Evidence from Sonargaon, Bangladesh," Policy Research Working Paper Series 9194, The World Bank.

    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. Goldberg, Jessica & Macis, Mario & Chintagunta, Pradeep, 2018. "Leveraging Patients' Social Networks to Overcome Tuberculosis Underdetection: A Field Experiment in India," IZA Discussion Papers 11942, Institute of Labor Economics (IZA).
    2. Batista, Catia & Fafchamps, Marcel & Vicente, Pedro C., 2021. "Keep It Simple: A Field Experiment on Information Sharing among Strangers," IZA Discussion Papers 14780, Institute of Labor Economics (IZA).
    3. 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).
    4. Francesco Drago & Friederike Mengel & Christian Traxler, 2020. "Compliance Behavior in Networks: Evidence from a Field Experiment," American Economic Journal: Applied Economics, American Economic Association, vol. 12(2), pages 96-133, April.
    5. Cátia Batista & Marcel Fafchamps & Pedro C. Vicente, 2018. "Keep It Simple: A Field Experiment on Information Sharing in Social Networks," NBER Working Papers 24908, National Bureau of Economic Research, Inc.
    6. Islam, Asadul & Ushchev, Philip & Zenou, Yves & Zhang, Xin, 2019. "The Value of Information in Technology Adoption," IZA Discussion Papers 12672, Institute of Labor Economics (IZA).
    7. Bonan, Jacopo & Battiston, Pietro & Bleck, Jaimie & LeMay-Boucher, Philippe & Pareglio, Stefano & Sarr, Bassirou & Tavoni, Massimo, 2021. "Social interaction and technology adoption: Experimental evidence from improved cookstoves in Mali," World Development, Elsevier, vol. 144(C).
    8. Maitra, Pushkar & Mitra, Sandip & Mookherjee, Dilip & Visaria, Sujata, 2020. "Decentralized Targeting of Agricultural Credit Programs: Private versus Political Intermediaries," Discussion paper series HIAS-E-94, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    9. Cynthia Kinnan & Krislert Samphantharak & Robert Townsend & Diego Vera-Cossio, 2019. "Insurance and Propagation in Village Networks," PIER Discussion Papers 115, Puey Ungphakorn Institute for Economic Research.
    10. Rao, Neel, 2016. "Social effects in employer learning: An analysis of siblings," Labour Economics, Elsevier, vol. 38(C), pages 24-36.
    11. Alfredo Burlando & Pradeep Chintagunta & Jessica Goldberg & Melissa Graboyes & Peter Hangoma & Dean Karlan & Mario Macis & Silvia Prina, 2022. "Replication and Adaptation of Incentivized Peer Outreach: From Tuberculosis in India to COVID-19 in Zambia," NBER Working Papers 30414, National Bureau of Economic Research, Inc.
    12. Björkegren, Daniel & Karaca, Burak Ceyhun, 2022. "Network adoption subsidies: A digital evaluation of a rural mobile phone program in Rwanda," Journal of Development Economics, Elsevier, vol. 154(C).
    13. Lnu,Anukriti & Herrera-Almanza,Catalina & Karra,Mahesh Venkat, 2022. "Bring a Friend : Strengthening Women’s Social Networks and Reproductive Autonomy in India," Policy Research Working Paper Series 10107, The World Bank.
    14. Glitz, Albrecht, 2017. "Coworker networks in the labour market," Labour Economics, Elsevier, vol. 44(C), pages 218-230.
    15. Z. K. Dong & D. S. Huang & F. F. Tang, 2014. "Information disclosure and job search: evidence from a social networks experiment," Applied Economics Letters, Taylor & Francis Journals, vol. 21(4), pages 293-296, March.
    16. Dariel, Aurelie & Riedl, Arno & Siegenthaler, Simon, 2021. "Referral hiring and wage formation in a market with adverse selection," Games and Economic Behavior, Elsevier, vol. 130(C), pages 109-130.
    17. Lena Hensvik & Oskar Nordström Skans, 2016. "Social Networks, Employee Selection, and Labor Market Outcomes," Journal of Labor Economics, University of Chicago Press, vol. 34(4), pages 825-867.
    18. Achim Ahrens & Sean Lyons, 2021. "Do rising rents lead to longer commutes? A gravity model of commuting flows in Ireland," Urban Studies, Urban Studies Journal Limited, vol. 58(2), pages 264-279, February.
    19. Barrera,Oscar & Macours,Karen & Premand,Patrick & Vakis,Renos, 2020. "Texting Parents about Early Child Development : Behavioral Changes and Unintended Social Effects," Policy Research Working Paper Series 9492, The World Bank.
    20. Carattini, Stefano & Gosnell, Greer & Tavoni, Alessandro, 2020. "How developed countries can learn from developing countries to tackle climate change," World Development, Elsevier, vol. 127(C).

    More about this item

    JEL classification:

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

    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:nbr:nberwo:25279. 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: https://edirc.repec.org/data/nberrus.html .

    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: (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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.