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A CONSISTENT ICM-BASED χ2 SPECIFICATION TEST
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AI
DOI：10.1017/s0266466626100437.png)
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Abstract
En 中文
In spite of the omnibus property of integrated conditional moment (ICM) specification tests, they are not commonly used in empirical practice owing to features such as the non-pivotality of the test and the high computational cost of available bootstrap schemes, especially in large samples. This article proposes specification and mean independence tests based on ICM metrics. The proposed test exhibits consistency, asymptotic chi(2)-distribution under the null hypothesis, and computational efficiency. Moreover, it demonstrates robustness to heteroskedasticity of unknown form and can be adapted to enhance power toward specific alternatives. A power comparison with classical bootstrap-based ICM tests using Bahadur slopes is also provided. Monte Carlo simulations are conducted to showcase the excellent size control and competitive power of the proposed test.
Keywords:
REGRESSION-MODELS
FUNCTIONAL FORM
DEPENDENCE
DISTANCE
BOOTSTRAP
METRICS
Journal
E
IF:
1
Papers:
29
Citations:
0
