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Limits of Econometrics

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  • David A. Freedman

Abstract

In the social and behavioral sciences, far-reaching claims are often made for the superiority of advanced quantitative methods by those who manage to ignore the far-reaching assumptions behind the models. In section 2, we see there was considerable skepticism about disentangling causal processes by statistical modeling. Freedman (2005) examined several well-known modeling exercises, and discovered good reasons for skepticism. Some kinds of problems may yield to sophisticated statistical technique; others will not. The goal of empirical research is or should be to increase our understanding of the phenomena, rather than displaying our mastery of technique.

Suggested Citation

  • David A. Freedman, 2009. "Limits of Econometrics," International Econometric Review (IER), Econometric Research Association, vol. 1(1), pages 5-17, April.
    • Handle: RePEc:erh:journl:v:1:y:2009:i:1:p:5-17
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    References listed on IDEAS

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