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A Consistent Heteroskedasticity‐Robust LM‐Type Specification Test for Semiparametric Models

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  • Ivan Korolev

Abstract

This article develops a heteroskedasticity‐robust Lagrange Multiplier‐type specification test for semiparametric regression models. The test is able to detect a wide class of deviations from the null hypothesis. The test statistic is based on the estimates from the restricted semiparametric model, can be computed in a regression‐based way, and is asymptotically standard normal under the null. I apply the test to Environmental Engel Curves and find that while the relationship between income and emissions may be quadratic, its shape changes with other variables in the model. Monte Carlo studies suggest that my test controls size well, has good power, and is fairly robust to the tuning parameter choice.

Suggested Citation

  • Ivan Korolev, 2026. "A Consistent Heteroskedasticity‐Robust LM‐Type Specification Test for Semiparametric Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 41(3), pages 240-252, April.
  • Handle: RePEc:wly:japmet:v:41:y:2026:i:3:p:240-252
    DOI: 10.1002/jae.70039
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    References listed on IDEAS

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    1. Gao, Jiti & Tong, Howell & Wolff, Rodney, 2002. "Model Specification Tests in Nonparametric Stochastic Regression Models," Journal of Multivariate Analysis, Elsevier, vol. 83(2), pages 324-359, November.
    2. Guido W. Imbens & Michal Kolesár, 2016. "Robust Standard Errors in Small Samples: Some Practical Advice," The Review of Economics and Statistics, MIT Press, vol. 98(4), pages 701-712, October.
    3. Jeffrey M. Wooldridge, 1987. "A Regression-Based Lagrange Multiplier Statistic that is Robust in the Presence of Heteroskedasticity," Working papers 478, Massachusetts Institute of Technology (MIT), Department of Economics.
    4. James G. MacKinnon, 2002. "Bootstrap inference in econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 35(4), pages 615-645, November.
    5. Chaohua Dong & Jiti Gao, 2025. "Modern Series Methods in Econometrics and Statistics," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-981-96-2822-3, July-Dece.
    6. Ping Zhang & Arthur van Soest & Xiaodong Gong, 2005. "The effects of the gender of children on expenditure patterns in rural China: a semiparametric analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 509-527.
    7. Hong, Yongmiao & White, Halbert, 1995. "Consistent Specification Testing via Nonparametric Series Regression," Econometrica, Econometric Society, vol. 63(5), pages 1133-1159, September.
    8. Newey, Whitney K., 1997. "Convergence rates and asymptotic normality for series estimators," Journal of Econometrics, Elsevier, vol. 79(1), pages 147-168, July.
    9. Li, Q. & Wang, Suojin, 1998. "A simple consistent bootstrap test for a parametric regression function," Journal of Econometrics, Elsevier, vol. 87(1), pages 145-165, August.
    10. Donald, Stephen G. & Imbens, Guido W. & Newey, Whitney K., 2003. "Empirical likelihood estimation and consistent tests with conditional moment restrictions," Journal of Econometrics, Elsevier, vol. 117(1), pages 55-93, November.
    11. Bierens, Herman J., 1982. "Consistent model specification tests," Journal of Econometrics, Elsevier, vol. 20(1), pages 105-134, October.
    12. Gao, Jiti, 2007. "Nonlinear time series: semiparametric and nonparametric methods," MPRA Paper 39563, University Library of Munich, Germany, revised 01 Sep 2007.
    13. Li, Qi & Hsiao, Cheng & Zinn, Joel, 2003. "Consistent specification tests for semiparametric/nonparametric models based on series estimation methods," Journal of Econometrics, Elsevier, vol. 112(2), pages 295-325, February.
    14. Stefan Sperlich, 2014. "On the choice of regularization parameters in specification testing: a critical discussion," Empirical Economics, Springer, vol. 47(2), pages 427-450, September.
    15. Xi Chen, Song & Gao, Jiti, 2011. "Simultaneous Specification Testing Of Mean And Variance Structures In Nonlinear Time Series Regression," Econometric Theory, Cambridge University Press, vol. 27(4), pages 792-843, August.
    16. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    17. Gupta, Abhimanyu, 2018. "Nonparametric specification testing via the trinity of tests," Journal of Econometrics, Elsevier, vol. 203(1), pages 169-185.
    18. Yonghui Zhang & Qiankun Zhou, 2021. "Partially linear functional-coefficient dynamic panel data models: sieve estimation and specification testing," Econometric Reviews, Taylor & Francis Journals, vol. 40(10), pages 983-1006, November.
    19. Shunan Zhao & Yiguo Sun & Subal C. Kumbhakar, 2022. "Income and democracy: a semiparametric approach," Econometric Reviews, Taylor & Francis Journals, vol. 41(9), pages 1113-1140, September.
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