Spillovers of Prosocial Motivation: Evidence from an Intervention Study on Blood Donors
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- Bruhin, Adrian & Goette, Lorenz & Haenni, Simon & Jiang, Lingqing, 2020. "Spillovers of prosocial motivation: Evidence from an intervention study on blood donors," Journal of Health Economics, Elsevier, vol. 70(C).
- Goette, Lorenz & Bruhin, Adrian & Haenni, Simon & Jiang, Lingqing, 2015. "Spillovers of Prosocial Motivation: Evidence from an Intervention Study on Blood Donors," CEPR Discussion Papers 10345, C.E.P.R. Discussion Papers.
- Adrian Bruhin & Lorenz Goette & Simon Haenni & Lingqing Jiang, 2014. "Spillovers of Prosocial Motivation: Evidence from an Intervention Study on Blood Donors," Cahiers de Recherches Economiques du Département d'économie 14.10, Université de Lausanne, Faculté des HEC, Département d’économie.
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- Francesco Drago & Friederike Mengel & Christian Traxler, 2015. "Compliance Behavior in Networks: Evidence from a Field Experiment," CSEF Working Papers 419, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
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- Jiang, Lingqing, 2020. "Splash with a teammate: Peer effects in high-stakes tournaments," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 165-188.
- Jiang, Lingqing & Zhu, Zhen, 2022. "Information exchange and multiple peer groups: A natural experiment in an online community," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 543-562.
- Lingqing Jiang, 2016. "Splash with A teammate: Peer Effects in High-Stakes Tournaments," Cahiers de Recherches Economiques du Département d'économie 16.18, Université de Lausanne, Faculté des HEC, Département d’économie.
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More about this item
Keywords
bivariate probit; blood donation; prosocial motivation; social ties; social interaction;All these keywords.
JEL classification:
- D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-EXP-2015-01-19 (Experimental Economics)
- NEP-SOC-2015-01-19 (Social Norms and Social Capital)
Statistics
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