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CSDA Special Issue



Computational Statistics and Data Analysis
2nd Special Issue on COMPUTATIONAL ECONOMETRICS
http://www.elsevier.nl/locate/csda


We are inviting submissions for the 2nd special issue of Computational
Statistics and Data Analysis dealing with 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. CSDA aims to have
regular issues in Computational Econometrics.

The 1st special issue dealing with Computational Econometrics has
recently been published.  It features articles examining filters,
heuristic methods for estimation, MCMC, computational and numerical
aspects for estimating large-scale models, and simulation methods,
among other topics, and indicates the importance of computing in
econometrics and highlights research opportunities that exist in this
discipline.

In the 2nd special issue, we will consider papers that address
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 DEADLINE for submissions is the 30th of September 2003.

Submissions should contain both computational and econometric
components.  Authors who are uncertain about the suitability of their
papers should contact the special issue editors.  All 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contain original unpublished work not being considered for publication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.  Information
about the journal can be found at http://www.elsevier.com/locate/csda

Electronic submission is strongly encouraged.  All manuscripts should
be double spaced or they will be returned immediately for revision.
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: david.belsley@bc.edu

Paolo Foschi
Department of Mathematics
University of Bologna
Via Sacchi, 3
I-47023 Cesena, Italy
E-mail: foschip@csr.unibo.it

Erricos John Kontoghiorghes
Institut d'informatique
Universite de Neuchatel
Emile-Argand 11, CP 2
CH-2007 Neuchatel, Switzerland
E-mail: erricos.kontoghiorghes@unine.ch


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Gianfranco Galmacci
Dipartimento di Scienze Statistiche - Universita' degli Studi
Casella Postale 1315/Succ.1 - 06123 PERUGIA (ITALY)
Tel. +39 - 075 585 5228/3788             FAX  +39 - 075 43242
E-mail: glm@stat.unipg.it
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