Tests of Functional Form and Heteroscedasticity

This paper considers tests of misspecification in a heteroscedastic transformation model. We derive Lagrange multiplier (LM) statistics for (i) testing functional form and heteroscedasticity jointly, (ii) testing functional form in the presence of heteroscedasticity, and (iii) testing heteroscedasti...

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Main Authors: YANG, Zhenlin, TSE, Yiu Kuen
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Language:English
Published: Institutional Knowledge at Singapore Management University 2003
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Online Access:https://ink.library.smu.edu.sg/soe_research/775
https://ink.library.smu.edu.sg/context/soe_research/article/1774/viewcontent/LMTest.pdf
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spelling sg-smu-ink.soe_research-17742019-05-01T14:11:26Z Tests of Functional Form and Heteroscedasticity YANG, Zhenlin TSE, Yiu Kuen This paper considers tests of misspecification in a heteroscedastic transformation model. We derive Lagrange multiplier (LM) statistics for (i) testing functional form and heteroscedasticity jointly, (ii) testing functional form in the presence of heteroscedasticity, and (iii) testing heteroscedasticity in the presence of data transformation. We present LM statistics based on the expected information matrix. For cases (i) and (ii), this is done assuming the Box-Cox transformation. For case (iii), the test does not depend on whether the functional form is estimated or pre-specified. Small-sample properties of the tests are assessed by Monte Carlo simulation, and comparisons are made with the likelihood ratio test and other versions of LM test. The results show that the expected-information based LM test has the most appropriate finite-sample empirical size. 2003-11-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/775 https://ink.library.smu.edu.sg/context/soe_research/article/1774/viewcontent/LMTest.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Functional Form Heteroscedasticity Lagrange Multiplier Test Econometrics
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Functional Form
Heteroscedasticity
Lagrange Multiplier Test
Econometrics
spellingShingle Functional Form
Heteroscedasticity
Lagrange Multiplier Test
Econometrics
YANG, Zhenlin
TSE, Yiu Kuen
Tests of Functional Form and Heteroscedasticity
description This paper considers tests of misspecification in a heteroscedastic transformation model. We derive Lagrange multiplier (LM) statistics for (i) testing functional form and heteroscedasticity jointly, (ii) testing functional form in the presence of heteroscedasticity, and (iii) testing heteroscedasticity in the presence of data transformation. We present LM statistics based on the expected information matrix. For cases (i) and (ii), this is done assuming the Box-Cox transformation. For case (iii), the test does not depend on whether the functional form is estimated or pre-specified. Small-sample properties of the tests are assessed by Monte Carlo simulation, and comparisons are made with the likelihood ratio test and other versions of LM test. The results show that the expected-information based LM test has the most appropriate finite-sample empirical size.
format text
author YANG, Zhenlin
TSE, Yiu Kuen
author_facet YANG, Zhenlin
TSE, Yiu Kuen
author_sort YANG, Zhenlin
title Tests of Functional Form and Heteroscedasticity
title_short Tests of Functional Form and Heteroscedasticity
title_full Tests of Functional Form and Heteroscedasticity
title_fullStr Tests of Functional Form and Heteroscedasticity
title_full_unstemmed Tests of Functional Form and Heteroscedasticity
title_sort tests of functional form and heteroscedasticity
publisher Institutional Knowledge at Singapore Management University
publishDate 2003
url https://ink.library.smu.edu.sg/soe_research/775
https://ink.library.smu.edu.sg/context/soe_research/article/1774/viewcontent/LMTest.pdf
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