Simulating power of economic experiments: the powerBBK package

Charles Bellemare (), Luc Bissonnette and Sabine Kröger ()

Journal of the Economic Science Association, 2016, vol. 2, issue 2, No 6, 157-168

Abstract: Abstract In this article, we highlight how simulation methods can be used to analyze power of economic experiments. We provide the powerBBK package programmed for experimental economists, that can be used to perform simulations in STATA. Power can be simulated using a single command line for various statistical tests (nonparametric and parametric), estimation methods (linear, binary, and censored regression models), treatment variables (binary, continuous, time-invariant or time varying), sample sizes, experimental periods, and other design features (within or between-subjects design). The package can be used to predict minimum sample sizes required to reach a user-specific level of power, to maximize power of a design given the researcher supplied a budget constraint, or to compute power to detect a user-specified treatment order effect in within-subjects designs. The package can also be used to compute the probability of sign errors—the probability of rejecting the null hypothesis in the wrong direction as well as the share of rejections pointing in the wrong direction. The powerBBK package is provided as an .ado file along with a help file, both of which can be downloaded here ( http://www.bbktools.org ).

Keywords: Statistical power; Simulation methods; Economic experiments; C8; C9; D03 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (35)

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DOI: 10.1007/s40881-016-0028-4

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