This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

The DUALI/DUALPC Software for Optimal Control Models: Introduction

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Hans M. Amman () (Eco, U. of Amsterdam)
David A. Kendrick () (Eco, U. of Texas)

Additional information is available for the following registered author(s):

Abstract

The DUALI/DUALPC software is a system for solving quadratic-linear opimal control models. DUALI (pronounced "dual-I") provides a graphical interface for both deterministic and stochastic models as well as solvers for deterministic models and for passive learning stochastic models. DUALPC provides a personal computer version of the DUAL software which solves both deterministic and stochastic control models including adaptive (dual) stochastic control models. DUALI/DUALPC runs under Windows95 and WindowsNT on personal computers.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.eco.utexas.edu/Ecopapers/wp9602.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Center for Applied Research in Economics in its series Economics, University of Texas at Austin with number 9602.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length: 11 pages
Date of creation: May 1996
Date of revision:
Handle: RePEc:tex:carewp:9602

Note: None
Contact details of provider:
Web page: http://www.eco.utexas.edu/Ecopapers

For technical questions regarding this item, or to correct its listing, contact: (Douglas Rathbun).

Related research
Keywords: Macroeconomics learning stochastic optimization numerical experiments

Find related papers by JEL classification:
C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques
E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. P. Ruben Mercado & David Kendrick, 1999. "Caution in Macroeconomic Policy: Uncertainty and the Relative Intensity of Policy," Computing in Economics and Finance 1999 1343, Society for Computational Economics. [Downloadable!]
    Other versions:
  2. Hans M. Amman & David A. Kendrick, 1997. "Linear Quadratic Optimization for Models with Rational Expectations," Economics, University of Texas at Austin 9708, Center for Applied Research in Economics. [Downloadable!]
    Other versions:
  3. P. Ruben Mercado, 2001. "The Timing of Uncertainty and The Intensity of Policy," Computing in Economics and Finance 2001 55, Society for Computational Economics.
  4. Pierpaolo Benigno & Michael Woodford, 2006. "Linear-Quadratic Approximation of Optimal Policy Problems," NBER Working Papers 12672, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  5. Hans M. Amman & David A. Kendrick, 1997. "Teaching Macroeconomics with Gams," Economics, University of Texas at Austin 9702, Center for Applied Research in Economics. [Downloadable!]
    Other versions:
  6. Arnulfo Rodriguez, 2004. "Robust Control: A Note on the Timing of Model Uncertainty," Computing in Economics and Finance 2004 147, Society for Computational Economics. [Downloadable!]
Statistics
Access and download statistics

Did you know? Over five million full texts a year are downloaded through IDEAS.

This page was last updated on 2008-7-16.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.