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

Ivan Korolev

Journal of Applied Econometrics2026https://doi.org/10.1002/jae.70039preprint
AJG 3ABDC A*
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0.50

What the paper says

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.

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https://doi.org/https://doi.org/10.1002/jae.70039

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@article{ivan2026,
  title        = {{A Consistent Heteroskedasticity‐Robust LM‐Type Specification Test for Semiparametric Models}},
  author       = {Ivan Korolev},
  journal      = {Journal of Applied Econometrics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1002/jae.70039},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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