Computational Statistics and Data Analysis
Special Issue on COMPUTATIONAL ECONOMETRICS
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, and a
special issue in this area is always welcome.
We therefore invite submissions for a special issue of Computational
Statistics & Data Analysis on Computational Econometrics. We will
consider papers addressing the use of computational and numerical
methods for solving theoretical and practical econometric issues
associated with econometric algorithms, the impact of computing on
econometrics, and specific applications involving computing and
econometrics.
The DEADLINE for submissions is December 1, 2001.
The focus of the papers submitted to the special issue must contain
both computational and econometric components. Authors who are
uncertain as to the suitability of their papers for the special issue
should contact the special issue editors. All papers submitted must
contain original unpublished work that is not being submitted for
publication elsewhere. Manuscripts submitted to this special issue
will be refereed according to standard procedures for Computational
Science and Data Analysis. Information about the journal can be found
at http://www.elsevier.com/locate/csda
Submission electronically is encouraged. Please e-mail a postscript
or PDF file of your manuscript to one of the special issue editors:
David A. Belsley
Department of Economics
Boston College
Chestnut Hill, MA 02467 USA
E-mail: [log in to unmask]
Erricos John Kontoghiorghes (CSDA)
Institut d'informatique
Universite de Neuchatel
Emile-Argand 11
Case Postale 2
CH-2007 Neuchatel
Switzerland
E-mail: [log in to unmask]
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Erricos John Kontoghiorghes
Institut d'informatique, Universite de Neuchatel,
Rue Emile-Argand 11, Case Postale 2,
CH-2007 Neuchatel, Switzerland
Email: [log in to unmask]
Tel: +41 32 718 27 38 Fax: +41 32 718 27 01
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