IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

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

  • John A. List
  • Sally Sadoff
  • Mathis Wagner

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.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.carloalberto.org/assets/working-papers/no.125.pdf
Download Restriction: no

Paper provided by Collegio Carlo Alberto in its series Carlo Alberto Notebooks with number 125.

as
in new window

Length: 22 pages
Date of creation: 2009
Date of revision:
Handle: RePEc:cca:wpaper:125
Contact details of provider: Postal: Via Real Collegio, 30, 10024 Moncalieri (To)
Phone: +390116705000
Fax: +390116476847
Web page: http://www.carloalberto.org/
Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. David Reiley & John List, 2008. "Field experiments," Artefactual Field Experiments 00091, The Field Experiments Website.
  2. John List & Steven Levitt, 2009. "Field experiments in economics: The past, the present, and the future," Artefactual Field Experiments 00079, The Field Experiments Website.
  3. Rutström, E. Elisabet & Wilcox, Nathaniel T., 2009. "Stated beliefs versus inferred beliefs: A methodological inquiry and experimental test," Games and Economic Behavior, Elsevier, vol. 67(2), pages 616-632, November.
  4. John List, 2001. "Do explicit warnings eliminate the hypothetical bias in elicitation procedures? Evidence from field auctions for sportscards," Framed Field Experiments 00163, The Field Experiments Website.
  5. John A. List, 2007. "Field Experiments: A Bridge Between Lab and Naturally-Occurring Data," NBER Working Papers 12992, National Bureau of Economic Research, Inc.
  6. Dean Karlan & John List, 2006. "Does price matter in charitable giving? Evidence from a large-scale natural field experiment," Natural Field Experiments 00279, The Field Experiments Website.
  7. Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean, 2008. "Adaptive Experimental Design Using the Propensity Score," MPRA Paper 8315, University Library of Munich, Germany.
  8. El-Gamal, Mahmoud A & Palfrey, Thomas R, 1996. "Economical Experiments: Bayesian Efficient Experimental Design," International Journal of Game Theory, Springer, vol. 25(4), pages 495-517.
  9. repec:feb:artefa:0090 is not listed on IDEAS
  10. Camerer, Colin F. & Hogarth, Robin M., 1999. "The Effects of Financial Incentives in Experiments: A Review and Capital-Labor-Production Framework," Working Papers 1059, California Institute of Technology, Division of the Humanities and Social Sciences.
  11. Harrison, Glenn W. & Lau, Morten I. & Elisabet Rutström, E., 2009. "Risk attitudes, randomization to treatment, and self-selection into experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 70(3), pages 498-507, June.
  12. Richard Blundell & Monica Costa Dias, 2002. "Alternative approaches to evaluation in empirical microeconomics," CeMMAP working papers CWP10/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  13. Jinyong Hahn & Keisuke Hirano & Dean Karlan, 2009. "Adaptive Experimental Design Using the Propensity Score," Working Papers 969, Economic Growth Center, Yale University.
  14. Steven D. Levitt & John A. List, 2007. "What Do Laboratory Experiments Measuring Social Preferences Reveal About the Real World?," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 153-174, Spring.
  15. Lenth R. V., 2001. "Some Practical Guidelines for Effective Sample Size Determination," The American Statistician, American Statistical Association, vol. 55, pages 187-193, August.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:cca:wpaper:125. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Giovanni Bert)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.