Power(ful) guidelines for experimental economists

Kathryn Vasilaky · Jonathan Brock

22 citations0/0 files storedJournal of the Economic Science Association

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Experimental Behavioral Economics Studies Game Theory and Voting Systems Optimal Experimental Design Methods

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.

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References

2001Econometric Analysis of Cross Section and Panel Data 2021Econometric Analysis of Panel Data 2011Thinking, Fast and Slow 2005Why Most Published Research Findings Are False 2015Estimating the reproducibility of psychological science 2013Power failure: why small sample size undermines the reliability of neuroscience 2005Why Most Published Research Findings Are False 2017Redefine statistical significance

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