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Testing Multiplicative Error Models Using Conditional Moment Tests

Author

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  • Nikolaus Hautsch

Abstract

We suggest a robust form of conditional moment test as a constructive test for func- tional misspecification in multiplicative error models. The proposed test has power solely against violations of the conditional mean restriction but is not affected by any other type of model misspecification. Monte-Carlo investigations show that an appro- priate choice of weighting function induces high power against various alternatives. We illustrate how to adapt the framework to test also out-of-sample moment restrictions, such as orthogonalities of prediction errors.

Suggested Citation

  • Nikolaus Hautsch, 2008. "Testing Multiplicative Error Models Using Conditional Moment Tests," SFB 649 Discussion Papers SFB649DP2008-067, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    • Handle: RePEc:hum:wpaper:sfb649dp2008-067
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    File URL: http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2008-067.pdf
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    More about this item

    Keywords

    Robust Conditional Moment Tests; Finite Sample Properties; Multiplicative Error Models; Prediction Errors;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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