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The Lower Regression Function and Testing Expectation Dependence Dominance Hypotheses

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  • Oliver Linton

  • YOON-JAE WHANG

  • Yu-Min Yen

Abstract

We provide an estimator of the lower regression function and provide large sample properties for inference. We also propose a test of the hypothesis of positive expectation dependence and derive its limiting distribution under the null hypothesis and provide consistent critical values. We apply our methodology to several empirical questions.

Suggested Citation

  • Oliver Linton & YOON-JAE WHANG & Yu-Min Yen, 2018. "The Lower Regression Function and Testing Expectation Dependence Dominance Hypotheses," Working Paper Series no110, Institute of Economic Research, Seoul National University.
    • Handle: RePEc:snu:ioerwp:no110
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    Cited by:

    1. Denuit, Michel & Trufin, Julien & Verdebout, Thomas, 2021. "Testing for more positive expectation dependence with application to model comparison," Insurance: Mathematics and Economics, Elsevier, vol. 101(PB), pages 163-172.
    2. Denuit, Michel & Trufin, Julien & Verdebout, Thomas, 2021. "Testing for more positive expectation dependence with application to model comparison," LIDAM Discussion Papers ISBA 2021021, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).

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