Computationally-intensive Econometrics using a Distributed Matrix-programming Language

Jurgen Doornik, David Hendry and Neil Shephard ()

No 2001-W22, Economics Papers from Economics Group, Nuffield College, University of Oxford

Abstract: This paper reviews the need for powerful facilities in econometrics, focusing on concrete problems which arise in financial economics and in macroeconomics. We argue that the profession is being held back by the lack of easy to use generic software which is able to exploit the availability of cheap clusters of distributed computers. Our response is to extend, in a number of directions, the well known matrix-programming interpreted language Ox developed by the first author. We note three possible levels of extensions: (i) Ox with parallelization explicit in the Ox code; (ii) Ox with a parallelized run-time library; (iii) Ox with a parallelized interpreter. This paper studies and implements the first case, emphasizing the need for deterministic computing in science. We give examples in the context of financial economics and time-series modelling.

Keywords: Distributed computing; Econometrics; High-performance computing; Matrix-programming language (search for similar items in EconPapers)
Pages: 23 pages
New Economics Papers: this item is included in nep-cmp
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:nuf:econwp:0122

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