Edge Rewrite
// HTMLRewriter · presentation

This page was redesigned at the edge.

Cloudflare fetched the original article and streamed it through HTMLRewriter to apply an entirely new visual system without rebuilding the source page.

// request.cf · coarse context

A page that knows where it met you.

Only coarse request metadata is shown. This demo does not display or persist visitor IP addresses.

Country
US
Cloudflare location
CMH
Connection
HTTP/2
Language
Not provided

Ray ID: a25e52c8dd1bd858

Jump to content

// Workers AI · dad joke modeWhat did OxMetrics say to its date? "You're a-moo-sing

From Wikipedia, the free encyclopedia
(Redirected from PcGive)
OxMetrics
DeveloperOxMetrics Technologies
Stable release
7.0 / July 2013
Operating systemWindows Mac OS X Linux
Typeprogramming language econometric software
Licenseproprietary
Websitewww.timberlake.co.uk/software/oxmetrics.html

OxMetrics is an econometric software including the Ox programming language for econometrics and statistics, developed by Jurgen Doornik and David Hendry. OxMetrics originates from PcGive, one of the first econometric software for personal computers, initiated by David Hendry in the 1980s at the London School of Economics.

OxMetrics builds on the Ox programming language of Jurgen Doornik developed at University of Oxford. Renfro (2004) describes the history of econometric software packages.

OxMetrics is a family of software packages for the econometric and financial analysis of time series, forecasting, econometric model selection and for the statistical analysis of cross-sectional data and panel data.

The main modules apart from PcGive for dynamic econometric models (ARDL, VAR, GARCH, Switching, Autometrics), panel data models (DPD), limited dependent models, are STAMP for structural time series modelling, "SsfPack" for State space methods and "G@RCH" for financial volatility modelling. Hendry & Nielsen (2007) present many empirical examples in PcGive for OxMetrics in their econometrics textbook. Durbin & Koopman (2012) give modern examples in their time series analysis textbook.

See also

[edit]

References

[edit]
  • Durbin, J.; Koopman, S. J. (2012). Time Series Analysis by State Space Methods (Second ed.). Oxford University Press.
  • Hendry, D. F.; Nielsen, B. (2007). Econometric Modeling: A Likelihood Approach. Princeton University Press.
  • Renfro, C. (2004). "Econometric software: The first fifty years in perspective" (PDF). Journal of Economic and Social Measurement. 29: 9–107.
[edit]

Support

[edit]