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Return of the Phantom Menace

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  • Kevin A. Clarke

    (University of Rochester, USA, kevin.clarke@rochester.edu)

Abstract

Scholars often assume that the danger posed by omitted variable bias can be ameliorated by the inclusion of large numbers of relevant control variables. However, there is nothing in the mathematics of regression analysis that supports this conclusion. This paper goes beyond textbook treatments of omitted variable bias and shows, both for OLS and for generalized linear models, that the inclusion of additional control variables may increase or decrease the bias, and we cannot know for sure which is the case in any particular situation. The last section of the paper shows how formal sensitivity analysis can be used to determine whether omitted variables are a problem. A substantive example demonstrates the method.

Suggested Citation

  • Kevin A. Clarke, 2009. "Return of the Phantom Menace," Conflict Management and Peace Science, Peace Science Society (International), vol. 26(1), pages 46-66, February.
    • Handle: RePEc:sae:compsc:v:26:y:2009:i:1:p:46-66
    DOI: 10.1177/0738894208097666
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    References listed on IDEAS

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    1. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    2. Guildo W. Imbens, 2003. "Sensitivity to Exogeneity Assumptions in Program Evaluation," American Economic Review, American Economic Association, vol. 93(2), pages 126-132, May.
    3. Michael A. Bailey & Brian Kamoie & Forrest Maltzman, 2005. "Signals from the Tenth Justice: The Political Role of the Solicitor General in Supreme Court Decision Making," American Journal of Political Science, John Wiley & Sons, vol. 49(1), pages 72-85, January.
    4. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    5. Gelpi, Christopher & Feaver, Peter D., 2002. "Speak Softly and Carry a Big Stick? Veterans in the Political Elite and the American Use of Force," American Political Science Review, Cambridge University Press, vol. 96(4), pages 779-793, December.
    6. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    7. Clarke, Kevin A., 2007. "A Simple Distribution-Free Test for Nonnested Model Selection," Political Analysis, Cambridge University Press, vol. 15(3), pages 347-363, July.
    8. Welch, Finis, 1975. "Human Capital Theory: Education, Discrimination, and Life Cycles," American Economic Review, American Economic Association, vol. 65(2), pages 63-73, May.
    9. Krause, George A., 2003. "Coping with Uncertainty: Analyzing Risk Propensities of SEC Budgetary Decisions, 1949–97," American Political Science Review, Cambridge University Press, vol. 97(1), pages 171-188, February.
    10. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    11. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-161, April.
    12. Griliches, Zvi, 1977. "Estimating the Returns to Schooling: Some Econometric Problems," Econometrica, Econometric Society, vol. 45(1), pages 1-22, January.
    13. Hendry, David F. & Richard, Jean-Francois, 1982. "On the formulation of empirical models in dynamic econometrics," Journal of Econometrics, Elsevier, vol. 20(1), pages 3-33, October.
    14. Ansolabehere, Stephen & Gerber, Alan & Snyder, Jim, 2002. "Equal Votes, Equal Money: Court-Ordered Redistricting and Public Expenditures in the American States," American Political Science Review, Cambridge University Press, vol. 96(4), pages 767-777, December.
    15. Thomas J. Rudolph & Jillian Evans, 2005. "Political Trust, Ideology, and Public Support for Government Spending," American Journal of Political Science, John Wiley & Sons, vol. 49(3), pages 660-671, July.
    16. King, Gary & Honaker, James & Joseph, Anne & Scheve, Kenneth, 2001. "Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation," American Political Science Review, Cambridge University Press, vol. 95(1), pages 49-69, March.
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