Power(ful) guidelines for experimental economists
Kathryn N. Vasilaky () and
J. Michelle Brock
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Kathryn N. Vasilaky: California Polytechnic State University
Journal of the Economic Science Association, 2020, vol. 6, issue 2, No 6, 189-212
Abstract:
Abstract Statistical power is an important detail to consider in the design phase of any experiment. This paper serves as a reference for experimental economists on power calculations. We synthesize many of the questions and issues frequently brought up regarding power calculations and the literature that surrounds that. We provide practical coded examples and tools available for calculating power, and suggest when and how to report power calculations in published studies.
Keywords: Power; Experiments; Design; Significance (search for similar items in EconPapers)
JEL-codes: C9 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (8)
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Persistent link: https://EconPapers.repec.org/RePEc:spr:jesaex:v:6:y:2020:i:2:d:10.1007_s40881-020-00090-5
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DOI: 10.1007/s40881-020-00090-5
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