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What Now? Some Brief Reflections on Model-Free Data Analysis

  • Richard Berk

    (University of Pennsylvania)

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    David Freedman’s critique of causal modeling in the social and biomedical sciences was fundamental. In his view, the enterprise was misguided, and there was no technical fix. Far too often, there was a disconnect between what the statistical methods required and the substantive information that could be brought to bear. In this paper, I briefly consider some alternatives to causal modeling assuming that David Freedman’s perspective on modeling is correct. In addition to randomized experiments and strong quasi-experiments, I discuss multivariate statistical analysis, exploratory data analysis, dynamic graphics, machine learning and knowledge discovery.

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    Article provided by Econometric Research Association in its journal International Econometric Review.

    Volume (Year): 1 (2009)
    Issue (Month): 1 (April)
    Pages: 18-27

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    Handle: RePEc:erh:journl:v:1:y:2009:i:1:p:18-27
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    1. Leeb, Hannes & P tscher, Benedikt M., 2008. "Can One Estimate The Unconditional Distribution Of Post-Model-Selection Estimators?," Econometric Theory, Cambridge University Press, vol. 24(02), pages 338-376, April.
    2. Leeb, Hannes & P tscher, Benedikt M., 2005. "Model Selection And Inference: Facts And Fiction," Econometric Theory, Cambridge University Press, vol. 21(01), pages 21-59, February.
    3. Guido Imbens & Thomas Lemieux, 2007. "Regression Discontinuity Designs: A Guide to Practice," NBER Technical Working Papers 0337, National Bureau of Economic Research, Inc.
    4. Guido W. Imbens, 2003. "Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review," NBER Technical Working Papers 0294, National Bureau of Economic Research, Inc.
    5. Kenneth W. Wachter & David A. Freedman, 2000. "Measuring Local Heterogeneity with 1990 U.S. Census Data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 3(10), November.
    6. D. A. Freedman & P. B. Stark & K. W. Wachter, 2001. "A probability model for census adjustment," Mathematical Population Studies, Taylor & Francis Journals, vol. 9(2), pages 165-180.
    7. Klaus Nordhausen, 2009. "The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition by Trevor Hastie, Robert Tibshirani, Jerome Friedman," International Statistical Review, International Statistical Institute, vol. 77(3), pages 482-482, December.
    8. James J. Heckman, 2000. "Causal Parameters And Policy Analysis In Economics: A Twentieth Century Retrospective," The Quarterly Journal of Economics, MIT Press, vol. 115(1), pages 45-97, February.
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