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 The submissions must contain original unpublished work not being considered for publication elsewhere.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	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