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Finite-Sample Generalized Confidence Distributions and Sign-Based Robust Estimators In Median Regressions with Heterogeneous Dependent Errors

Coudin, Elise - 2017

We study the problem of estimating the parameters of a linear median regression without any assumption on the shape of the error distribution -- including no condition on the existence of moments -- allowing for heterogeneity (or heteroskedasticity) of unknown form, noncontinuous distributions,...

Persistent link: https://www.econbiz.de/10012962776

Hodges-Lehmann sign-based estimators and generalized confidence distributions in linear median regressions with moment-free heterogenous errors and dependence of unknown form

Coudin, Elise; Dufour, Jean-Marie - 2008

Persistent link: https://www.econbiz.de/10003871341

Finite-sample distribution-free inference in linear median regressions under heteroscedasticity and non-linear dependence of unknown form

Coudin, Elise; Dufour, Jean-Marie - In: The econometrics journal 12 (2009), pp. 19-49

Persistent link: https://www.econbiz.de/10003876273

Finite-sample distribution-free inference in linear median regression under heteroskedasticity and nonlinear dependence of unknown form

Coudin, Elise; Dufour, Jean-Marie - 2007

Persistent link: https://www.econbiz.de/10003656187

Finite-sample generalized confidence distributions and sign-based robust estimators in median regressions with hetereogenous dependent errors

Coudin, Elise; Dufour, Jean-Marie - 2017

Persistent link: https://www.econbiz.de/10011610097

Finite-sample generalized confidence distributions and sign-based robust estimators in median regressions with heterogeneous dependent errors

Coudin, Elise; Dufour, Jean-Marie - In: Econometric reviews 39 (2020) 8, pp. 763-791

Persistent link: https://www.econbiz.de/10012295580

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