Testing the Ohlson Model-Panel Cointegration Approach

碩士 === 元智大學 === 會計學系 === 94 === This study uses American quarterly data to examine whether Ohlson(1995) model is holding. In the past, the statistic analyzing processes assume all variables stationary for the regression. Generally empirical studies assume that variables are stationary, but most vari...

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Main Authors: Yung-Tzu Lu, 呂勇賜
Other Authors: 李詩政
Format: Others
Language:en_US
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/82865361880619486696
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spelling ndltd-TW-094YZU053850082016-06-01T04:15:08Z http://ndltd.ncl.edu.tw/handle/82865361880619486696 Testing the Ohlson Model-Panel Cointegration Approach Ohlson模型之驗證-運用Panel共整合方法 Yung-Tzu Lu 呂勇賜 碩士 元智大學 會計學系 94 This study uses American quarterly data to examine whether Ohlson(1995) model is holding. In the past, the statistic analyzing processes assume all variables stationary for the regression. Generally empirical studies assume that variables are stationary, but most variables do not conform to the assumption. Therefore, non-stationary variables may result in spurious regression. We will use the unit root and cointegration test to examine time-series properties of the Ohlson model. Conventional cointegration method can’t solve the problem of power being too low. Some studies have adopted panel data in order to improve the power. However, panel-unit root test and panel-cointegration test are applied with long time-series and large cross-section data. In this study, we use panel data to test that: (1) whether market value, book value, and residual income are stationary and (2) if they are nonstationary, whether book value and residual income cointegrate with market value. 李詩政 2006 學位論文 ; thesis 34 en_US
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description 碩士 === 元智大學 === 會計學系 === 94 === This study uses American quarterly data to examine whether Ohlson(1995) model is holding. In the past, the statistic analyzing processes assume all variables stationary for the regression. Generally empirical studies assume that variables are stationary, but most variables do not conform to the assumption. Therefore, non-stationary variables may result in spurious regression. We will use the unit root and cointegration test to examine time-series properties of the Ohlson model. Conventional cointegration method can’t solve the problem of power being too low. Some studies have adopted panel data in order to improve the power. However, panel-unit root test and panel-cointegration test are applied with long time-series and large cross-section data. In this study, we use panel data to test that: (1) whether market value, book value, and residual income are stationary and (2) if they are nonstationary, whether book value and residual income cointegrate with market value.
author2 李詩政
author_facet 李詩政
Yung-Tzu Lu
呂勇賜
author Yung-Tzu Lu
呂勇賜
spellingShingle Yung-Tzu Lu
呂勇賜
Testing the Ohlson Model-Panel Cointegration Approach
author_sort Yung-Tzu Lu
title Testing the Ohlson Model-Panel Cointegration Approach
title_short Testing the Ohlson Model-Panel Cointegration Approach
title_full Testing the Ohlson Model-Panel Cointegration Approach
title_fullStr Testing the Ohlson Model-Panel Cointegration Approach
title_full_unstemmed Testing the Ohlson Model-Panel Cointegration Approach
title_sort testing the ohlson model-panel cointegration approach
publishDate 2006
url http://ndltd.ncl.edu.tw/handle/82865361880619486696
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