computational methods in econometrics
From The New Palgrave Dictionary of Economics, Second Edition, 2008
Edited by
Steven
N.
Durlauf
and
Lawrence
E.
Blume
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Abstract
The computational properties of an econometric method are fundamental determinants of its importance and practical usefulness, in conjunction with the method's statistical properties. Computational methods in econometrics are advanced through successfully combining ideas and methods in econometric theory, computer science, numerical analysis, and applied mathematics. The leading classes of computational methods particularly useful for econometrics are matrix computation, numerical optimization, sorting, numerical approximation and integration, and computer simulation. A computational approach that holds considerable promise for econometrics is parallel computation, either on a single computer with multiple processors, or on separate computers networked in an intranet or over the internet.
Keywords
Bayesian inference; bootstrap; classical inference; computational methods; generalized least squares; generalized method of moments; importance sampling simulation; jackknife; least absolute deviations; maximum likelihood; numerical integration; optimal control; ordinary least squares; random effects models; simulation-based estimation; Stone, J. R. N.; Markov chain Monte Carlo methods; parallel computation
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How to cite this article
Hajivassiliou, Vassilis A. "computational methods in econometrics." The New Palgrave Dictionary of Economics. Second Edition. Eds. Steven N. Durlauf and Lawrence E. Blume. Palgrave Macmillan, 2008. The New Palgrave Dictionary of Economics Online. Palgrave Macmillan. 20 May 2013 <http://www.dictionaryofeconomics.com/article?id=pde2008_C000559> doi:10.1057/9780230226203.0285

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