Testing the Waters: Behavior across Participant Pools | Zendy

Erik Snowberg | Zendy; Leeat Yariv | Zendy

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Testing the Waters: Behavior across Participant Pools

Author(s) -

Erik Snowberg,

Leeat Yariv

Publication year - 2021

Publication title -

american economic review

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 16.936

H-Index - 297

eISSN - 1944-7981

pISSN - 0002-8282

DOI - 10.1257/aer.20181065

Subject(s) - leverage (statistics) , sample (material) , population , set (abstract data type) , amazon rainforest , scale (ratio) , psychology , statistics , computer science , geography , ecology , mathematics , demography , biology , cartography , sociology , physics , programming language , thermodynamics

We leverage a large-scale incentivized survey eliciting behaviors from (almost) an entire undergraduate university student population, a representative sample of the US population, and Amazon Mechanical Turk (MTurk) to address concerns about the external validity of experiments with student participants. Behavior in the student population offers bounds on behaviors in other populations, and correlations between behaviors are similar across samples. Furthermore, non-student samples exhibit higher levels of noise. Adding historical lab participation data, we find a small set of attributes over which lab participants differ from non-lab participants. An additional set of lab experiments shows no evidence of observer effects. (JEL C83, D90, D91)

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