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Common structure in panels of short time series

Yao, Qiwei, Tong, Howell, Finkenstädt, Bärbel and Stenseth, Nils Chr (2000) Common structure in panels of short time series. Proceedings of the Royal Society: B Biological Sciences, 267 (1460). pp. 2459-2467. ISSN 1471-2954

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Abstract

Typically, in many studies in ecology, epidemiology, biomedicine and others, we are confronted with panels of short time–series of which we are interested in obtaining a biologically meaningful grouping. Here, we propose a bootstrap approach to test whether the regression functions or the variances of the error terms in a family of stochastic regression models are the same. Our general setting includes panels of time–series models as a special case. We rigorously justify the use of the test by investigating its asymptotic properties, both theoretically and through simulations. The latter confirm that for finite sample size, bootstrap provides a better approximation than classical asymptotic theory.We then apply the proposed tests to the mink–muskrat data across 81 trapping regions in Canada. Ecologically interpretable groupings are obtained, which serve as a necessary first step before a fuller biological and statistical analysis of the food chain interaction.

Item Type: Article
Official URL: http://journals.royalsociety.org/content/102024
Additional Information: © 2000 Royal Society
Library of Congress subject classification: H Social Sciences > HA Statistics
Sets: Collections > Economists Online
Departments > Statistics
Rights: http://www.lse.ac.uk/library/usingTheLibrary/academicSupport/OA/depositYourResearch.aspx
Identification Number: Published item via DOI
Date Deposited: 02 Jul 2008 11:05
URL: http://eprints.lse.ac.uk/6325/

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