Generalized LM Tests for Functional Form and Heteroscedasticity
We present a generalized LM test of heteroscedasticity allowing the presence of data transformation and a generalized LM test of functional form allowing the presence of heteroscedasticity. Both generalizations are meaningful as non-normality and heteroscedasticity are common in economic data. A joi...
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sg-smu-ink.soe_research-15032010-09-23T05:48:03Z Generalized LM Tests for Functional Form and Heteroscedasticity YANG, Zhenlin TSE, Yiu Kuen We present a generalized LM test of heteroscedasticity allowing the presence of data transformation and a generalized LM test of functional form allowing the presence of heteroscedasticity. Both generalizations are meaningful as non-normality and heteroscedasticity are common in economic data. A joint test of functional form and heteroscedasticity is also given. These tests are further ‘studentized’ to account for possible excess skewness and kurtosis of the errors in the model. All tests are easy to implement. They are based on the expected information and are shown to possess excellent finite sample properties. Several related tests are also discussed and their finite sample performances assessed. We found that our newly proposed tests significantly outperform the others, in particular in the cases where the errors are non-normal. [ABSTRACT FROM AUTHOR] 2008-01-01T08:00:00Z text https://ink.library.smu.edu.sg/soe_research/504 info:doi/10.1111/j.1368-423X.2008.00242.x Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Box-Cox transformation Double length regression Functional form Heteroscedasticity LM tests Robustness. Econometrics |
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Box-Cox transformation Double length regression Functional form Heteroscedasticity LM tests Robustness. Econometrics YANG, Zhenlin TSE, Yiu Kuen Generalized LM Tests for Functional Form and Heteroscedasticity |
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We present a generalized LM test of heteroscedasticity allowing the presence of data transformation and a generalized LM test of functional form allowing the presence of heteroscedasticity. Both generalizations are meaningful as non-normality and heteroscedasticity are common in economic data. A joint test of functional form and heteroscedasticity is also given. These tests are further ‘studentized’ to account for possible excess skewness and kurtosis of the errors in the model. All tests are easy to implement. They are based on the expected information and are shown to possess excellent finite sample properties. Several related tests are also discussed and their finite sample performances assessed. We found that our newly proposed tests significantly outperform the others, in particular in the cases where the errors are non-normal. [ABSTRACT FROM AUTHOR] |
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YANG, Zhenlin TSE, Yiu Kuen |
author_facet |
YANG, Zhenlin TSE, Yiu Kuen |
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YANG, Zhenlin |
title |
Generalized LM Tests for Functional Form and Heteroscedasticity |
title_short |
Generalized LM Tests for Functional Form and Heteroscedasticity |
title_full |
Generalized LM Tests for Functional Form and Heteroscedasticity |
title_fullStr |
Generalized LM Tests for Functional Form and Heteroscedasticity |
title_full_unstemmed |
Generalized LM Tests for Functional Form and Heteroscedasticity |
title_sort |
generalized lm tests for functional form and heteroscedasticity |
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Institutional Knowledge at Singapore Management University |
publishDate |
2008 |
url |
https://ink.library.smu.edu.sg/soe_research/504 |
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1770569194637623296 |