Title: Computational Econometrics
Description:
Econometric techniques are inherently
computational, often substantially so. Existing algorithms, however, do not
always embody the best of computational techniques, either for efficiency,
stability, or conditioning. Likewise, environments for doing econometrics are
inherently computer based. Integrated packages for conducting econometrics have
grown well over the years, but still have much room for further development.
Computational econometrics, then, is a natural field that is ever ready to
receive new efforts.
The CSDA has published two special issues on Computational Econometrics. These
have addressed computational and numerical methods used in solving theoretical
and practical issues associated with econometric algorithms, the impact of
computing on econometrics, and specific applications involving computing and
econometrics. The issues indicate the importance of computing in econometrics
and highlights research opportunities that exist in this discipline.
The CSDA aims to have regular issues in Computational Econometrics.
This track invites presentations which contain both computational and
econometric components. Full paper will be considered for publication in the
third special issue of Computational econometrics. The submissions must contain
original unpublished work not being considered for publication elsewhere.
Submissions will be refereed according to standard procedures for Computational
Science and Data Analysis.
Co-Chairs:
David A. Belsley
Department of Economics
Boston College
Chestnut Hill, MA 02467, USA
Tel: +1 617 552-3676
Fax: +1 617 552-2308
E-mail: belsley@bc.edu
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Erricos John Kontoghiorghes
University of Cyprus, Nicosia, Cyprus, and
Birkbeck College, Univ. of London, UK
Tel: +357 22 892 485
Fax: +357 22 892460
E-mail: erricos@dcs.bbk.ac.uk |
Jan R. Magnus
Center for Economic Research
Tilburg University
P.O. Box 90153
5000 LE Tilburg, The Netherlands
Tel: +31-13-466-3092
Fax: +31-13-466-3066
E-mail: magnus@kub.nl |
Paolo Foschi
Univ. di Bologna,
Via Sacchi 5
47023 Cesena (FC)
Italy
E-mail: foschip@csr.unibo.it |
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