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Estimating average partial effects under conditional moment independence assumptions

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  • Jeffrey M. Wooldridge

    () (Institute for Fiscal Studies and MSU)

Abstract

I show how to identify and estimate the average partial effect of explanatory variables in a model where unobserved heterogeneity interacts with the explanatory variables and may be unconditionally correlated with the explanatory variables. To identify the populationaveraged effects, I use extensions of ignorability assumptions that are used for estimating linear models with additive heterogeneity and for estimating average treatment effects. New stimators are obtained for estimating the unconditional average partial effect as well as the average partial effect conditional on functions of observed covariates.

Suggested Citation

  • Jeffrey M. Wooldridge, 2004. "Estimating average partial effects under conditional moment independence assumptions," CeMMAP working papers CWP03/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  • Handle: RePEc:ifs:cemmap:03/04
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    File URL: http://cemmap.ifs.org.uk/wps/cwp0403.pdf
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    References listed on IDEAS

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    Cited by:

    1. Flossmann Anton L. & Pohlmeier Winfried, 2006. "Causal Returns to Education: A Survey on Empirical Evidence for Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 226(1), pages 6-23, February.
    2. Letort, Elodie & Carpentier, Alain, 2009. "Endogeneity of acreage choices in input allocation equations: implied problems and a solution," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49217, Agricultural and Applied Economics Association.
    3. Maertens, Miet & Swinnen, Johan F.M., 2009. "Trade, Standards, and Poverty: Evidence from Senegal," World Development, Elsevier, vol. 37(1), pages 161-178, January.
    4. Asian Development Bank Institute, 2017. "Asian Economic Integration Report 2016," Working Papers id:11730, eSocialSciences.
    5. Stephan O. Hornig & Horst Rottmann & Rüdiger Wapler, 2009. "Information Asymmetry, Education Signals and the Case of Ethnic and Native Germans," CESifo Working Paper Series 2683, CESifo Group Munich.
    6. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    7. Dlugosz, Stephan, 2011. "Give missings a chance: Combined stochastic and rule-based approach to improve regression models with mismeasured monotonic covariates without side information," ZEW Discussion Papers 11-013, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.

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