Networks and Workouts: Treatment Size and Status Specific Peer Effects in a Randomized Field Experiment
AbstractThis paper estimates treatment size and status specific peer effects that are not detected by widely-used approaches to the estimation of spillovers. In a field experiment using university students, we find that subjects who have been incentivized to exercise increase gym usage more if they have more treated friends. However, control subjects are not influenced by their peers. Findings demonstrate that fraction treated has a large influence on outcomes in this environment, and spillovers vary greatly by treatment status. Results highlight subtle effects of randomization and document a low-cost method for improving the generalizability of controlled interventions in networked environments.
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Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 16581.
Date of creation: Dec 2010
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Find related papers by JEL classification:
- A13 - General Economics and Teaching - - General Economics - - - Relation of Economics to Social Values
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-12-11 (All new papers)
- NEP-EXP-2010-12-11 (Experimental Economics)
- NEP-URE-2010-12-11 (Urban & Real Estate Economics)
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