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Exogenous Treatment and Endogenous Factors: Vanishing of Omitted Variable Bias on the Interaction Term

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  • Nizalova Olena Y.

    (PSSRU/CHSS, University of Kent, George Allen Wing, Cornwallis Building, Canterbury, Kent, Ct2 7NF)

  • Murtazashvili Irina

    (School of Economics, LeBow College of Business, Drexel University, Philadelphia, PA 19104, USA)

Abstract

Whether interested in the differential impact of a particular factor in various institutional settings or in the heterogeneous effect of policy or random experiment, the empirical researcher confronts a problem if the factor of interest is correlated with an omitted variable. This paper presents the circumstances under which it is possible to arrive at a consistent estimate of the mentioned effect. We find that if the source of heterogeneity and omitted variable are jointly independent of policy or treatment, then the OLS estimate on the interaction term between the treatment and endogenous factor turns out to be consistent.

Suggested Citation

  • Nizalova Olena Y. & Murtazashvili Irina, 2016. "Exogenous Treatment and Endogenous Factors: Vanishing of Omitted Variable Bias on the Interaction Term," Journal of Econometric Methods, De Gruyter, vol. 5(1), pages 71-77, January.
    • Handle: RePEc:bpj:jecome:v:5:y:2016:i:1:p:71-77:n:2
    DOI: 10.1515/jem-2013-0012
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    References listed on IDEAS

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    1. Abhijit V. Banerjee & Shawn Cole & Esther Duflo & Leigh Linden, 2007. "Remedying Education: Evidence from Two Randomized Experiments in India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1235-1264.
    2. Sylvie Moulin & Michael Kremer & Paul Glewwe, 2009. "Many Children Left Behind? Textbooks and Test Scores in Kenya," American Economic Journal: Applied Economics, American Economic Association, vol. 1(1), pages 112-135, January.
    3. Leora Friedberg, 2000. "The Labor Supply Effects of the Social Security Earnings Test," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 48-63, February.
    4. Blank, Rebecca M, 1991. "The Effects of Double-Blind versus Single-Blind Reviewing: Experimental Evidence from The American Economic Review," American Economic Review, American Economic Association, vol. 81(5), pages 1041-1067, December.
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    Keywords

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    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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