Inference on Cointegration in Vector Autoregressive Models (summary section only)
Contribuinte(s) |
Svenska handelshögskolan, institutionen för finansiell ekonomi och ekonomisk statistik, statistik Hanken School of Economics, Department of Finance and Statistics, Statistics |
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Data(s) |
13/12/2002
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Resumo |
In the thesis we consider inference for cointegration in vector autoregressive (VAR) models. The thesis consists of an introduction and four papers. The first paper proposes a new test for cointegration in VAR models that is directly based on the eigenvalues of the least squares (LS) estimate of the autoregressive matrix. In the second paper we compare a small sample correction for the likelihood ratio (LR) test of cointegrating rank and the bootstrap. The simulation experiments show that the bootstrap works very well in practice and dominates the correction factor. The tests are applied to international stock prices data, and the .nite sample performance of the tests are investigated by simulating the data. The third paper studies the demand for money in Sweden 1970—2000 using the I(2) model. In the fourth paper we re-examine the evidence of cointegration between international stock prices. The paper shows that some of the previous empirical results can be explained by the small-sample bias and size distortion of Johansen’s LR tests for cointegration. In all papers we work with two data sets. The first data set is a Swedish money demand data set with observations on the money stock, the consumer price index, gross domestic product (GDP), the short-term interest rate and the long-term interest rate. The data are quarterly and the sample period is 1970(1)—2000(1). The second data set consists of month-end stock market index observations for Finland, France, Germany, Sweden, the United Kingdom and the United States from 1980(1) to 1997(2). Both data sets are typical of the sample sizes encountered in economic data, and the applications illustrate the usefulness of the models and tests discussed in the thesis. |
Formato |
1837 bytes 278640 bytes application/pdf text/plain |
Identificador |
http://hdl.handle.net/10227/84 URN:ISBN:951-555-749-6 951-555-749-6 |
Idioma(s) |
en |
Publicador |
Svenska handelshögskolan Hanken School of Economics |
Relação |
Economics and Society 110 |
Direitos |
Publikationen är skyddad av upphovsrätten. Den får läsas och skrivas ut för personligt bruk. Användning i kommersiellt syfte är förbjuden. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited. Julkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty. |
Palavras-Chave | #cointegration #rank determination #small sample properties #vector autoregressive models #Statistics |
Tipo |
Doctoral thesis Väitöskirja Doktorsavhandling Text |