Abstract
It is argued that object-oriented programming can bring important benefits when used in econometric, financial, and statistical computing. The Ox language is used to discuss the issues, and compared to C++, Java, and C#. A Monte Carlo experiment of a simple bootstrap problem illustrates the benefits.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
G. Bårdsen and A. S. Hum. The impact of monetary policy in the UK on the relationship between the term structure of interest rates and future inflation. mimeo, Norwegian University of Science and Technology, 2001.
J. Berkowitz and L. Kilian. Recent developments in bootstrapping time series.Econometric Reviews19:1–48, 2000.
J. A. Doornik.Object-Oriented Matrix Programming using Ox.International Thomson Business Press and Oxford:http://www.nuff.ox.ac.uk/Users/Doornik London, 1996.
J. A. Doornik.Object-Oriented Matrix Programming using Ox.Timberlake Consultants Press, London, 4th edition, 2001.
J. A. Doornik and D. E Hendry.Interactive Monte Carlo Experimentation in Econometrics Using PcNaive.Timberlake Consultants Press, London, 2001.
J. A. Doornik and M. Ooms. A package for estimating, forecasting and simulating ARFIMA models: Arfima package 1.0 for Ox. Technical report, Nuffield College, Oxford, 1999.
B. Harvey, S. Robinson, J. Templeman, and K. Watson.C# Programming with the Public Beta.Wrox Press, Birmingham, 2000.
D. F. Hendry and J. A. Doornik.Empirical Econometric Modelling using PcGive: Volume I.Timberlake Consultants Press, London, 3rd edition, 2001.
J. L. Horowitz. The bootstrap. Handbook of econometrics, vol. 5 (forthcoming)http://www.biz.uiowa.edu/faculty/horowitz 2000.
J. L. Horowitz. The bootstrap and hypothesis tests in econometrics.Journal of Econometrics100:37–40, 2001.
B. W. Kernighan and D. M. Ritchie.The C Programming Language.Prentice Hall, Englewood Cliffs, NJ, 2nd edition, 1988.
H. Li and G. S. Maddala. Bootstrapping time series models.Econometric Reviews15:115–158, 1996.
S. Meyers.Effective C++: 50 Specific Ways to Improve Your Programs and Design.Addison-Wesley, Reading, MA, 1997.
B. Stroustrup.The C++ Programming Language.Addison Wesley, Reading, MA, 3rd edition, 1997.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Doornik, J.A. (2002). Object-Oriented Programming in Econometrics and Statistics Using Ox: A Comparison with C++, Java and C#. In: Nielsen, S.S. (eds) Programming Languages and Systems in Computational Economics and Finance. Advances in Computational Economics, vol 18. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1049-9_5
Download citation
DOI: https://doi.org/10.1007/978-1-4615-1049-9_5
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5369-0
Online ISBN: 978-1-4615-1049-9
eBook Packages: Springer Book Archive