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Using Preference Estimates to Customize Incentives: An Application to Polio Vaccination Drives in Pakistan

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  • Andreoni, James
  • Callen, Michael
  • Hussain Jaffar, Karrar
  • Khan, Muhammad Yasir
  • Sprenger, Charles

Abstract

We use structural estimates of time preferences to customize incentives for a sample of polio vaccinators during a series of door-to-door immunization drives in Pakistan. Our investigation proceeds in three stages. First, we measure time preferences using intertemporal allocations of vaccinations. Second, we derive the mapping between these structural estimates and individually optimal incentives given a specific policy objective. Third, we experimentally evaluate the effect of matching contract terms to individual discounting patterns in a subsequent experiment with the same vaccinators. This exercise provides a test of the specific point predictions given by structural estimates of time preference. We document present bias among vaccinators and find that tailored contracts achieve the intended policy objective of smoothing intertemporal allocations of effort. The benefits of customized incentives in terms of achieving the policy objective are largest for vaccinators allocating when present bias is relevant to the decision.

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  • Andreoni, James & Callen, Michael & Hussain Jaffar, Karrar & Khan, Muhammad Yasir & Sprenger, Charles, 2016. "Using Preference Estimates to Customize Incentives: An Application to Polio Vaccination Drives in Pakistan," CEPR Discussion Papers 11137, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:11137
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    Cited by:

    1. Andrew Dustan & Juan Manuel Hernandez-Agramonte & Stanislao Maldonado, 2018. "Motivating bureaucrats with non-monetary incentives when state capacity is weak: Evidence from large-scale," Natural Field Experiments 00664, The Field Experiments Website.
    2. Monica Martinez-Bravo & Andreas Stegmann, 2021. "In Vaccines We Trust? The Effects of the CIA’s Vaccine Ruse on Immunization in Pakistan," CAGE Online Working Paper Series 544, Competitive Advantage in the Global Economy (CAGE).
    3. Jonathan Chapman & Erik Snowberg & Stephanie Wang & Colin Camerer, 2018. "Loss Attitudes in the U.S. Population: Evidence from Dynamically Optimized Sequential Experimentation (DOSE)," NBER Working Papers 25072, National Bureau of Economic Research, Inc.
    4. Dustan, Andrew & Maldonado, Stanislao & Hernandez-Agramonte, Juan Manuel, 2018. "Motivating bureaucrats with non-monetary incentives when state capacity is weak: Evidence from large-scale field experiments in Peru," MPRA Paper 90952, University Library of Munich, Germany.
    5. Joshua Blumenstock & Michael Callen & Tarek Ghani, 2018. "Why Do Defaults Affect Behavior? Experimental Evidence from Afghanistan," American Economic Review, American Economic Association, vol. 108(10), pages 2868-2901, October.
    6. James Andreoni & Christina Gravert & Michael A. Kuhn & Silvia Saccardo & Yang Yang, 2018. "Arbitrage Or Narrow Bracketing? On Using Money to Measure Intertemporal Preferences," NBER Working Papers 25232, National Bureau of Economic Research, Inc.
    7. Jeffrey Carpenter & Emiliano Huet-Vaughn & Peter Hans Matthews & Andrea Robbett & Dustin Beckett & Julian Jamison, 2021. "Choice Architecture to Improve Financial Decision Making," The Review of Economics and Statistics, MIT Press, vol. 103(1), pages 102-118, March.
    8. James Andreoni & Marta Serra-Garcia, 2016. "Time-Inconsistent Charitable Giving," NBER Working Papers 22824, National Bureau of Economic Research, Inc.
    9. Liang Bai & Benjamin Handel & Edward Miguel & Gautam Rao, 2017. "Self-Control and Demand for Preventive Health: Evidence from Hypertension in India," NBER Working Papers 23727, National Bureau of Economic Research, Inc.

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    More about this item

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • I1 - Health, Education, and Welfare - - Health
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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