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Geographic variations in a model of physician treatment choice with social interactions

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  • Burke, Mary A.
  • Fournier, Gary M.
  • Prasad, Kislaya

Abstract

Region-specific norms of behavior are a widespread phenomenon. In the case of medical practice, numerous studies have found that geographic location exerts an inordinate influence on the choice of treatments and procedures. This paper shows how the presence of social influence on treatment decisions can help explain this phenomenon. We construct a theoretical model in which physicians' treatment choices depend on patients' characteristics and on the recent choices of nearby peers--either because there are local knowledge spillovers or because physicians want to conform to local practice patterns. In this setting, regional differences in the patient mix give rise to geographically divergent treatment patterns--the treatment a patient receives depends on where she lives. Investigation of Florida data reveals significant geographic variation in treatment rates consistent with the predictions of our model. Implications for patient welfare are explored.

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  • Burke, Mary A. & Fournier, Gary M. & Prasad, Kislaya, 2010. "Geographic variations in a model of physician treatment choice with social interactions," Journal of Economic Behavior & Organization, Elsevier, vol. 73(3), pages 418-432, March.
    • Handle: RePEc:eee:jeborg:v:73:y:2010:i:3:p:418-432
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    References listed on IDEAS

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    Cited by:

    1. H Peyton Young, 2014. "The Evolution of Social Norms," Economics Series Working Papers 726, University of Oxford, Department of Economics.
    2. Itai Arieli & Yakov Babichenko & Ron Peretz & H. Peyton Young, 2018. "The Speed of Innovation Diffusion," Economics Papers 2018-W06, Economics Group, Nuffield College, University of Oxford.
    3. Emilia Simeonova & Niels Skipper & Peter R. Thingholm, 2020. "Physician Health Management Skills and Patient Outcomes," NBER Working Papers 26735, National Bureau of Economic Research, Inc.
    4. Sergei Koulayev & Emilia Simeonova & Niels Skipper, 2017. "Can Physicians Affect Patient Adherence With Medication?," Health Economics, John Wiley & Sons, Ltd., vol. 26(6), pages 779-794, June.
    5. Peter Rønø Thingholm, 2023. "Provider Spill-Overs in Opioid Prescription Leniency and Patient – Labor Market Outcomes," Economics Working Papers 2023-05, Department of Economics and Business Economics, Aarhus University.
    6. Emily Tanimura, 2021. "Statistical discrimination without knowing statistics: blame social interactions?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03096126, HAL.
    7. Arieli, Itai & Babichenko, Yakov & Peretz, Ron & Young, H. Peyton, 2020. "The speed of innovation diffusion in social networks," LSE Research Online Documents on Economics 102538, London School of Economics and Political Science, LSE Library.
    8. Emily Tanimura, 2021. "Statistical discrimination without knowing statistics: blame social interactions?," Working Papers hal-03096126, HAL.
    9. H Peyton Young & Sam Jindani, 2020. "The dynamics of costly social norms," Economics Series Working Papers 883, University of Oxford, Department of Economics.
    10. Mangham-Jefferies, Lindsay & Hanson, Kara & Mbacham, Wilfred & Onwujekwe, Obinna & Wiseman, Virginia, 2014. "What determines providers' stated preference for the treatment of uncomplicated malaria?," Social Science & Medicine, Elsevier, vol. 104(C), pages 98-106.
    11. Wallace, Chris & Young, H. Peyton, 2015. "Stochastic Evolutionary Game Dynamics," Handbook of Game Theory with Economic Applications,, Elsevier.
    12. H Peyton Young & Itai Arieli & Yakov Babichenko & Ron Peretz, 2019. "The Speed of Innovation Diffusion in Social Networks," Economics Series Working Papers 884, University of Oxford, Department of Economics.
    13. Brosig-Koch, Jeannette & Hennig-Schmidt, Heike & Kairies-Schwarz, Nadja & Kokot, Johanna & Wiesen, Daniel, 2020. "Physician performance pay: Experimental evidence," HERO Online Working Paper Series 2020:3, University of Oslo, Health Economics Research Programme.
    14. Itai Arieli & Yakov Babichenko & Ron Peretz & H. Peyton Young, 2019. "The Speed of Innovation Diffusion in Social Networks," Economics Papers 2019-W07, Economics Group, Nuffield College, University of Oxford.
    15. Itai Arieli & Yakov Babichenko & Ron Peretz & H. Peyton Young, 2020. "The Speed of Innovation Diffusion in Social Networks," Econometrica, Econometric Society, vol. 88(2), pages 569-594, March.

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