So you want to run an experiment, now what? Some Simple Rules of Thumb for Optimal Experimental Design
Experimental economics represents a strong growth industry. In the past several decades the method has expanded beyond intellectual curiosity, now meriting consideration alongside the other more traditional empirical approaches used in economics. Accompanying this growth is an influx of new experimenters who are in need of straightforward direction to make their designs more powerful. This study provides several simple rules of thumb that researchers can apply to improve the efficiency of their experimental designs. We buttress these points by including empirical examples from the literature.
We thank the Editor, two anonymous referees, Glenn Harrison, Emily Oster, Stephen Raudenbush, Azeem Shaikh, and seminar participants at the University of Chicago for useful comments. Clifford Clive provided research assistance. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.
John List & Sally Sadoff & Mathis Wagner, 2011. "So you want to run an experiment, now what? Some simple rules of thumb for optimal experimental design," Experimental Economics, Springer, vol. 14(4), pages 439-457, November. citation courtesy of