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So you want to run an experiment, now what? Some Simple Rules of Thumb for Optimal Experimental Design

Author

Listed:
  • John A. List

    (University of Chicago and NBER)

  • Sally Sadoff

    (University of Chicago)

  • Mathis Wagner

    (CeRP - Collegio Carlo Alberto, Turin)

Abstract

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.

Suggested Citation

  • John A. List & Sally Sadoff & Mathis Wagner, 2010. "So you want to run an experiment, now what? Some Simple Rules of Thumb for Optimal Experimental Design," CeRP Working Papers 94, Center for Research on Pensions and Welfare Policies, Turin (Italy).
    • Handle: RePEc:crp:wpaper:94
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    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General

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