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Simple tests for exogeneity of a binary explanatory variable in count data regression models

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  • Kevin E. Staub

    (Socioeconomic Institute, University of Zurich)

Abstract

This article investigates power and size of some tests for exogeneity of a binary explanatory variable in count models by conducting extensive Monte Carlo simulations. The tests under consideration are Hausman contrast tests as well as univariate Wald tests, including a new test of notably easy implementation. Performance of the tests is explored under misspecification of the underlying model and under different conditions regarding the instruments. The results indicate that often the tests that are simpler to estimate outperform tests that are more demanding. This is especially the case for the new test.

Suggested Citation

  • Kevin E. Staub, 2009. "Simple tests for exogeneity of a binary explanatory variable in count data regression models," SOI - Working Papers 0904, Socioeconomic Institute - University of Zurich.
    • Handle: RePEc:soz:wpaper:0904
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    File URL: https://www.zora.uzh.ch/id/eprint/51916/1/wp0904.pdf
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    References listed on IDEAS

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    3. Kul B. Luintel & Yongdeng Xu, 2017. "Testing weak exogeneity in multiplicative error models," Quantitative Finance, Taylor & Francis Journals, vol. 17(10), pages 1617-1630, October.
    4. Chen, Linkun & Clarke, Philip M. & Petrie, Dennis J. & Staub, Kevin E., 2021. "The effects of self-assessed health: Dealing with and understanding misclassification bias," Journal of Health Economics, Elsevier, vol. 78(C).
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    7. Canan GÜNEŞ & Mustafa ÜNLÜ & Yasin BÜYÜKKÖR & Şenay ÜÇDOĞRUK BİRECİKLİ, 2016. "Türkiye’de Sağlık Hizmetleri Talebinin Sayma Veri Modelleriyle İncelenmesi: İçsellik Sorunu," Sosyoekonomi Journal, Sosyoekonomi Society, issue 24(30).
    8. Polk, Andreas & Schmutzler, Armin & Müller, Adrian, 2014. "Lobbying and the power of multinational firms," European Journal of Political Economy, Elsevier, vol. 36(C), pages 209-227.
    9. Heike Mensi-Klarbach & Stephan Leixnering & Michael Schiffinger, 2021. "The Carrot or the Stick: Self-Regulation for Gender-Diverse Boards via Codes of Good Governance," Journal of Business Ethics, Springer, vol. 170(3), pages 577-593, May.
    10. Мясников А. А. & Серегина С. Ф., 2020. "Отношение Российских Преподавателей Экономики К Использованию Математики," Вопросы образования // Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 137-164.
    11. Geraci Andrea & Fabbri Daniele & Monfardini Chiara, 2018. "Testing Exogeneity of Multinomial Regressors in Count Data Models: Does Two-stage Residual Inclusion Work?," Journal of Econometric Methods, De Gruyter, vol. 7(1), pages 1-19, January.
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    13. Richardson, Leslie A. & Champ, Patricia A. & Loomis, John B., 2012. "The hidden cost of wildfires: Economic valuation of health effects of wildfire smoke exposure in Southern California," Journal of Forest Economics, Elsevier, vol. 18(1), pages 14-35.
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    More about this item

    Keywords

    Endogeneity; Poisson; dummy variable; testing;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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