Testing for Parameter Stability in Quantile Regression Models

We propose a test for structural change of conditional distribution in dynamic regression models. The test is constructed based on time series regression quantile estimates and complements conventional parameter instability tests in least-square type regression models. Asymptotic distribution for ou...

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Main Authors: SU, Liangjun, XIAO, Zhijie
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2008
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Online Access:https://ink.library.smu.edu.sg/soe_research/195
https://ink.library.smu.edu.sg/context/soe_research/article/1194/viewcontent/Testing_for_parameter_stability_2008.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.soe_research-11942018-05-07T06:36:09Z Testing for Parameter Stability in Quantile Regression Models SU, Liangjun XIAO, Zhijie We propose a test for structural change of conditional distribution in dynamic regression models. The test is constructed based on time series regression quantile estimates and complements conventional parameter instability tests in least-square type regression models. Asymptotic distribution for our test under the null hypothesis is derived. 2008-11-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/195 info:doi/10.1016/j.spl.2008.03.018 https://ink.library.smu.edu.sg/context/soe_research/article/1194/viewcontent/Testing_for_parameter_stability_2008.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Econometrics Economics
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Econometrics
Economics
spellingShingle Econometrics
Economics
SU, Liangjun
XIAO, Zhijie
Testing for Parameter Stability in Quantile Regression Models
description We propose a test for structural change of conditional distribution in dynamic regression models. The test is constructed based on time series regression quantile estimates and complements conventional parameter instability tests in least-square type regression models. Asymptotic distribution for our test under the null hypothesis is derived.
format text
author SU, Liangjun
XIAO, Zhijie
author_facet SU, Liangjun
XIAO, Zhijie
author_sort SU, Liangjun
title Testing for Parameter Stability in Quantile Regression Models
title_short Testing for Parameter Stability in Quantile Regression Models
title_full Testing for Parameter Stability in Quantile Regression Models
title_fullStr Testing for Parameter Stability in Quantile Regression Models
title_full_unstemmed Testing for Parameter Stability in Quantile Regression Models
title_sort testing for parameter stability in quantile regression models
publisher Institutional Knowledge at Singapore Management University
publishDate 2008
url https://ink.library.smu.edu.sg/soe_research/195
https://ink.library.smu.edu.sg/context/soe_research/article/1194/viewcontent/Testing_for_parameter_stability_2008.pdf
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