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Peer and network effects in medical innovation: the case of laparoscopic surgery in the English NHS

Author

Listed:
  • Barrenho, E.;
  • Miraldo, M.;
  • Propper, C;
  • Rose, C.;
Abstract
This paper examines the effect of peers and networks on the uptake of innovation in surgery.Using a rich matched patient-surgeon data set covering all relevant surgeons, we construct a wide set of time varying measures of peer behaviour and network effects. Our estimates allow for simultaneity bias and treatment of the network as partially unknown. The findings show the importance of multiple channels in affecting the diffusion of innovative behaviour across individual surgeons.

Suggested Citation

  • Barrenho, E.; & Miraldo, M.; & Propper, C; & Rose, C.;, 2019. "Peer and network effects in medical innovation: the case of laparoscopic surgery in the English NHS," Health, Econometrics and Data Group (HEDG) Working Papers 19/10, HEDG, c/o Department of Economics, University of York.
    • Handle: RePEc:yor:hectdg:19/10
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    References listed on IDEAS

    as
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    Cited by:

    1. de Paula, Aureo & Rasul, Imran & Souza, Pedro, 2018. "Identifying Network Ties from Panel Data: Theory and an Application to Tax Competition," CEPR Discussion Papers 12792, C.E.P.R. Discussion Papers.

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    More about this item

    Keywords

    innovation; peer effects; unknown networks;
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