HTGAMS Hall and Taylor´s Model in GAMS
Ruben Mercado and
David Kendrick
MPRA Paper from University Library of Munich, Germany
Abstract:
This paper , and its accompanying programs , show how to implement in GAMS (General Algebraic Modeling System) deterministic simulations with standard macroeconomic models, be these models linear or nonlinear, static or dynamic. Our general goals here are: a) to introduce the use of GAMS for solving static and dynamic linear and nonlinear models expressed as system of equations b) to introduce the workings of some linearization techniques c) to provide an interface between the GAMS representation of a dynamic nonlinear model and DUALI , so that one can perform control experiments in deterministic and stochastic environments. As a practical illustration of solution concepts and computational techniques, we use Robert Hall and John Taylor’s macroeconomic model. This is a twelve-equation nonlinear dynamic model for an open economy with flexible exchange rates which generates interesting and realistic patterns of macroeconomic behavior. Three types of simulations of progressive complexity are successively presented. For each of them, there is a corresponding program written in GAMS.
Keywords: Macroeconomics; Economic Modeling; GAMS (search for similar items in EconPapers)
JEL-codes: C60 E1 (search for similar items in EconPapers)
Date: 1997-05, Revised 1997-05
References: Add references at CitEc
Citations:
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/127711/1/MPRA_paper_127711.pdf original version (application/pdf)
Related works:
Working Paper: HTGAMS: Hall and Taylor's Model in GAMS (1997) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:127711
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().