OxMetrics

Summary

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
Developer(s)OxMetrics 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 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.

External links edit

  • OxMetrics Homepage
  • PcGive
  • STAMP software
  • G@RCH software
  • Comparison of mathematical programs for data analysis ScientificWeb

Support edit

  • Ox mailing list