4.2 Article

A Copula-Based Non-parametric Measure of Regression Dependence

Journal

SCANDINAVIAN JOURNAL OF STATISTICS
Volume 40, Issue 1, Pages 21-41

Publisher

WILEY-BLACKWELL
DOI: 10.1111/j.1467-9469.2011.00767.x

Keywords

conditional distribution; copula; local linear estimation; measure of dependence; regression; stochastic order

Funding

  1. Deutsche Forschungsgemeinschaft [SFB 823]

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. This article presents a framework for comparing bivariate distributions according to their degree of regression dependence. We introduce the general concept of a regression dependence order (RDO). In addition, we define a new non-parametric measure of regression dependence and study its properties. Besides being monotone in the new RDOs, the measure takes on its extreme values precisely at independence and almost sure functional dependence, respectively. A consistent non-parametric estimator of the new measure is constructed and its asymptotic properties are investigated. Finally, the finite sample properties of the estimate are studied by means of a small simulation study.

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