A Variance Decomposition Primer for Accounting Research

This pedagogical note introduces the accounting-based variance decomposition methodology of Vuolteenaho (2002) in a relatively simple format for the edification of accounting scholars and doctoral students who wish to use variance decomposition in their research. In addition to presenting an example...

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Main Authors: Callen, Jeffrey L., SEGAL, Dan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2010
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Online Access:https://ink.library.smu.edu.sg/soa_research/800
http://dx.doi.org/10.1177/0148558X1002500105
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spelling sg-smu-ink.soa_research-17992011-07-28T01:54:06Z A Variance Decomposition Primer for Accounting Research Callen, Jeffrey L. SEGAL, Dan This pedagogical note introduces the accounting-based variance decomposition methodology of Vuolteenaho (2002) in a relatively simple format for the edification of accounting scholars and doctoral students who wish to use variance decomposition in their research. In addition to presenting an example that explicates the variance decomposition approach, we provide well-documented SAS and STATA programs for estimating variance decompositions from cross-sectional time-series data. 2010-01-01T08:00:00Z text https://ink.library.smu.edu.sg/soa_research/800 info:doi/10.1177/0148558X1002500105 http://dx.doi.org/10.1177/0148558X1002500105 Research Collection School Of Accountancy eng Institutional Knowledge at Singapore Management University Accounting
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Accounting
spellingShingle Accounting
Callen, Jeffrey L.
SEGAL, Dan
A Variance Decomposition Primer for Accounting Research
description This pedagogical note introduces the accounting-based variance decomposition methodology of Vuolteenaho (2002) in a relatively simple format for the edification of accounting scholars and doctoral students who wish to use variance decomposition in their research. In addition to presenting an example that explicates the variance decomposition approach, we provide well-documented SAS and STATA programs for estimating variance decompositions from cross-sectional time-series data.
format text
author Callen, Jeffrey L.
SEGAL, Dan
author_facet Callen, Jeffrey L.
SEGAL, Dan
author_sort Callen, Jeffrey L.
title A Variance Decomposition Primer for Accounting Research
title_short A Variance Decomposition Primer for Accounting Research
title_full A Variance Decomposition Primer for Accounting Research
title_fullStr A Variance Decomposition Primer for Accounting Research
title_full_unstemmed A Variance Decomposition Primer for Accounting Research
title_sort variance decomposition primer for accounting research
publisher Institutional Knowledge at Singapore Management University
publishDate 2010
url https://ink.library.smu.edu.sg/soa_research/800
http://dx.doi.org/10.1177/0148558X1002500105
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