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Causal mediation analysis

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Author Info

  • Raymond Hicks

    ()
    (Princeton University)

  • Dustin Tingley

    ()
    (Harvard University)

Abstract

Estimating the mechanisms that connect explanatory variables with the explained variable, also known as "mediation analysis," is central to a variety of social-science fields, especially psychology, and increasingly to fields like epidemiology. Recent work on the statistical methodology behind mediation analysis points to limitations in earlier methods. We implement in Stata computational approaches based on recent developments in the statistical methodology of mediation analysis. In particular, we provide functions for the correct calculation of causal mediation effects using several different types of parametric models, as well as the calculation of sensitivity analyses for violations to the key identifying assumption required for interpreting mediation results causally.

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Bibliographic Info

Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 11 (2011)
Issue (Month): 4 (December)
Pages: 605-619

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Handle: RePEc:tsj:stataj:v:11:y:2011:i:4:p:605-619

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Related research

Keywords: medeff; medsens; mediation; causal mechanism; direct effects; sensitivity analysis;

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Cited by:
  1. Adrian Hille & Jürgen Schupp, 2013. "How Learning a Musical Instrument Affects the Development of Skills," SOEPpapers on Multidisciplinary Panel Data Research 591, DIW Berlin, The German Socio-Economic Panel (SOEP).
  2. Ryan W. Buell & Michael I. Norton, 2013. "Surfacing the Submerged State with Operational Transparency in Government Services," Harvard Business School Working Papers 14-034, Harvard Business School.
  3. repec:ese:iserwp:2013-24 is not listed on IDEAS
  4. Wahl, Fabian, 2013. "Does medieval trade still matter? Historical trade centers, agglomeration and contemporary economic development," FZID Discussion Papers 82-2013, University of Hohenheim, Center for Research on Innovation and Services (FZID).

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