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What does your model say? It may depend on who is asking

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  • David Drukker

    (StataCorp LP)

Abstract

Doctors and consultants want to know the effect of a covariate for a given covariate pattern. Policy analysts want to know a population-level effect of a covariate. I discuss how to estimate and interpret these effects using factor variables and margins.

Suggested Citation

  • David Drukker, 2016. "What does your model say? It may depend on who is asking," 2016 Stata Conference 31, Stata Users Group.
    • Handle: RePEc:boc:scon16:31
    as

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    File URL: http://fmwww.bc.edu/repec/chic2016/chicago16_drukker.pdf
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    References listed on IDEAS

    as
    1. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    2. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    3. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    4. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
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