Developments in the use of Mathematica for Computable General Equilibrium analysis

Nettleton, SJ

Developments in the use of Mathematica for Computable General Equilibrium analysis

Nettleton, SJ

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Publisher:: University of Sydney
Publication Type:: Conference Proceeding
Citation:: 18th International Conference on Input-Output Economics, 2010, pp. 1 - 13
Issue Date:: 2010-01

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Field	Value	Language
dc.contributor.author	Nettleton, SJ https://orcid.org/0000-0002-4360-2445	en_US
dc.contributor.editor	Organising Committee	en_US
dc.date	2010-06-20	en_US
dc.date.issued	2010-01	en_US
dc.identifier.citation	18th International Conference on Input-Output Economics, 2010, pp. 1 - 13	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16084
dc.description.abstract	The use of Computable General Equilibrium modelling in evidence-based policy requires an advanced policy making frame of reference, advanced understanding of neoclassical economics and advanced operations research capabilities. This paper examines developments in the advanced operations research capability of a modern generalised mathematical software platform. Intertemporal general equilibrium modelling has become feasible over recent decades due to the development of powerful computer software and hardware. Software for this purpose has traditionally been highly specialised in its ability to define optimisation problems, presolve, and submit the modified mathematical specification to industrial strength optimisation algorithms. In the last two years, general purpose mathematical software has achieved industrial strength. For example, Mathematica now provides interior point optimisation, a technology that has taken three decades to evolve from mathematical research into a general application. It is now possible to take advantage of the many other attributes of general purpose modelling suites, for example graphics for data visualisation that greatly enhance the execution of research and communication of results to policy makers. This paper outlines techniques for the application of Mathematica to data mining of the GTAP database and in using interior point optimisation for Computable General Equilibrium modelling.	en_US
dc.publisher	University of Sydney	en_US
dc.relation.ispartof	18th International Conference on Input-Output Economics	en_US
dc.relation.ispartof	International Conference on Input-Output Economics	en_US
dc.title	Developments in the use of Mathematica for Computable General Equilibrium analysis	en_US
dc.type	Conference Proceeding
utslib.location	Sydney, Australia	en_US
utslib.location.activity	Sydney, Australia	en_US
utslib.for	040104 Climate Change Processes	en_US
dc.location.activity	Sydney, Australia	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Sydney, Australia	en_US
pubs.start-date	2010-06-20	en_US

Abstract:

The use of Computable General Equilibrium modelling in evidence-based policy requires an advanced policy making frame of reference, advanced understanding of neoclassical economics and advanced operations research capabilities. This paper examines developments in the advanced operations research capability of a modern generalised mathematical software platform. Intertemporal general equilibrium modelling has become feasible over recent decades due to the development of powerful computer software and hardware. Software for this purpose has traditionally been highly specialised in its ability to define optimisation problems, presolve, and submit the modified mathematical specification to industrial strength optimisation algorithms. In the last two years, general purpose mathematical software has achieved industrial strength. For example, Mathematica now provides interior point optimisation, a technology that has taken three decades to evolve from mathematical research into a general application. It is now possible to take advantage of the many other attributes of general purpose modelling suites, for example graphics for data visualisation that greatly enhance the execution of research and communication of results to policy makers. This paper outlines techniques for the application of Mathematica to data mining of the GTAP database and in using interior point optimisation for Computable General Equilibrium modelling.

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http://hdl.handle.net/10453/16084