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Confounding and control

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Author Info

  • Guillaume Wunsch

    (Université catholique de Louvain)

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    Abstract

    This paper deals both with the issues of confounding and of control, as the definition of a confounding factor is far from universal and there exist different methodological approaches, ex ante and ex post, for controlling for a confounding factor. In the first section the paper compares some definitions of a confounder given in the demographic and epidemiological literature with the definition of a confounder as a common cause of both treatment/exposure and response/outcome. In the second section, the paper examines confounder control from the data collection viewpoint and recalls the stratification approach for ex post control. The paper finally raises the issue of controlling for a common cause or for intervening variables, focusing in particular on latent confounders.

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    File URL: http://www.demographic-research.org/volumes/vol16/4/16-4.pdf
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    Bibliographic Info

    Article provided by Max Planck Institute for Demographic Research, Rostock, Germany in its journal Demographic Research.

    Volume (Year): 16 (2007)
    Issue (Month): 4 (February)
    Pages: 97-120

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    Handle: RePEc:dem:demres:v:16:y:2007:i:4

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    Web page: http://www.demogr.mpg.de/

    Related research

    Keywords: confounding; control; structural modelling;

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    References

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    1. Herbert L. Smith, 2003. "Some Thoughts on Causation as It Relates to Demography and Population Studies," Population and Development Review, The Population Council, Inc., vol. 29(3), pages 459-469.
    2. Robert Moffitt, 2003. "Causal Analysis in Population Research: An Economist's Perspective," Population and Development Review, The Population Council, Inc., vol. 29(3), pages 448-458.
    3. Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
    4. J.D. Angrist & Guido W. Imbens & D.B. Rubin, 1993. "Identification of Causal Effects Using Instrumental Variables," NBER Technical Working Papers 0136, National Bureau of Economic Research, Inc.
    5. repec:fth:prinin:455 is not listed on IDEAS
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    Cited by:
    1. RUSSO, Federica & MOUCHART, Michel & WUNSCH, Guillaume, 2013. "Confounding and control in a multivariate system. An issue in causal attribution," CORE Discussion Papers 2013068, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

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