A Structural Perspective on the Experimentalist School
What has always bothered me about the "experimentalist" school is the false sense of certainty it conveys. My view, like Leamer's, is that there is no way to escape the role of assumptions in statistical work, so our conclusions will always be contingent. Hence, we should be circumspect about our degree of knowledge. I present some lessons for economics from the field of marketing, a field where broad consensus has been reached on many key issues over the past twenty years. In marketing, 1) the structural paradigm is dominant, 2) the data are a lot better than in some fields of economics, and 3) there is great emphasis on external validation. Of course, good data always helps. I emphasize that the ability to do controlled experiments does not obviate the need for theory, and finally I address different approaches to model validation.
Volume (Year): 24 (2010)
Issue (Month): 2 (Spring)
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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.:
- Michael P. Keane & Kenneth I. Wolpin, 2006.
"Exploring the Usefulness of a Non-Random Holdout Sample for Model Validation: Welfare Effects on Female Behavior,"
PIER Working Paper Archive
06-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
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John Wiley & Sons, Ltd., vol. 24(3), pages 393-420, 04.
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- Michael Keane, 2010.
"Labor Supply and Taxes: A Survey,"
Working Paper Series
160, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
- Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," The Quarterly Journal of Economics, Oxford University Press, vol. 114(2), pages 533-575.
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