IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/111974.html
   My bibliography  Save this paper

Hall and Taylor´s and John Taylor´s Model in DUALI

Author

Listed:
  • Mercado, Ruben
  • Kendrick, David

Abstract

This paper, and its accompanying programs, provide a practical introduction to macroeconomic policy analysis methods and show how to implement in DUALI deterministic and stochastic simulations with standard and rational expectations models. The analysis of the general properties of dynamic economic systems is a complex task, facilitated by the application of some theoretical results and relatively simple simulation techniques. Dynamic optimal policy analysis is more demanding, usually requiring of specialized software. DUALI is an optimal control software which is able to generate sophisticated deterministic and stochastic simulation environments and to compute, among other things, the optimal feedback rule and the implied optimal paths for target variables and policy tools. Our general goals here are: a) to introduce the use of some concepts for the analysis of dynamic properties of economic systems b) to introduce the use of DUALI to perform deterministic and stochastic dynamic optimal policy analysis. As a practical illustration of solution concepts and computational techniques, we use Robert Hall and John Taylor’s open economy-flexible exchange rate model, and John Taylor’s closed economy model with rational expectations and staggered contracts.

Suggested Citation

  • Mercado, Ruben & Kendrick, David, 1998. "Hall and Taylor´s and John Taylor´s Model in DUALI," MPRA Paper 111974, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:111974
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/111974/1/MPRA_paper_111974.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Amman, Hans M. & Kendrick, David A., 1998. "Computing the steady state of linear quadratic optimization models with rational expectations," Economics Letters, Elsevier, vol. 58(2), pages 185-191, February.
    2. Shupp, Franklin R., 1976. "Uncertainty and optimal stabilization policy," Journal of Public Economics, Elsevier, vol. 6(3), pages 243-253, October.
    3. P. Ruben Mercado & David A. Kendrick, 1997. "TAYGAMS: John Taylor's Two-Country Model in GAMS," CARE Working Papers 9703, The University of Texas at Austin, Center for Applied Research in Economics.
    4. Amman, Hans M & Kendrick, David A, 1999. "Should Macroeconomic Policy Makers Consider Parameter Covariances?," Computational Economics, Springer;Society for Computational Economics, vol. 14(3), pages 263-267, December.
    5. Amman, Hans M. & Kendrick, David A. & Achath, Sudhakar, 1995. "Solving stochastic optimization models with learning and rational expectations," Economics Letters, Elsevier, vol. 48(1), pages 9-13, April.
    6. Amman, Hans & Kendrick, David, 1999. "Linear-Quadratic Optimization For Models With Rational Expectations," Macroeconomic Dynamics, Cambridge University Press, vol. 3(4), pages 534-543, December.
    7. Mercado, P Ruben & Kendrick, David A & Amman, Hans, 1998. "Teaching Macroeconomics with GAMS," Computational Economics, Springer;Society for Computational Economics, vol. 12(2), pages 125-149, October.
    8. Holly,Sean & Hughes Hallet,Andrew, 2010. "Optimal Control, Expectations and Uncertainty," Cambridge Books, Cambridge University Press, number 9780521126335.
    9. P. Ruben Mercado & David A. Kendrick, 1997. "HTGAMS: Hall and Taylor's Model in GAMS," CARE Working Papers 9704, The University of Texas at Austin, Center for Applied Research in Economics.
    10. Turnovsky,Stephen J., 1977. "Macroeconomic Analysis and Stabilization Policy," Cambridge Books, Cambridge University Press, number 9780521291873.
    11. Olivier Jean Blanchard & Stanley Fischer, 1989. "Lectures on Macroeconomics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262022834, December.
    12. Alan S. Blinder, 1997. "Distinguished Lecture on Economics in Government: What Central Bankers Could Learn from Academics--And Vice Versa," Journal of Economic Perspectives, American Economic Association, vol. 11(2), pages 3-19, Spring.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pedro Francisco Páez, 2005. "Are the Washington Consensus Policies Sustainable? Game Theoretical Assessment for the Case of Ecuador," Working Paper Series, Department of Economics, University of Utah 2005_07, University of Utah, Department of Economics.
    2. Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January.
    3. Amman, Hans M. & Kendrick, David A., 1998. "Computing the steady state of linear quadratic optimization models with rational expectations," Economics Letters, Elsevier, vol. 58(2), pages 185-191, February.
    4. Amman, Hans M. & Kendrick, David A., 2003. "Mitigation of the Lucas critique with stochastic control methods," Journal of Economic Dynamics and Control, Elsevier, vol. 27(11-12), pages 2035-2057, September.
    5. George Halkos & Kyriaki Tsilika, 2016. "Dynamic Input–Output Models in Environmental Problems: A Computational Approach with CAS Software," Computational Economics, Springer;Society for Computational Economics, vol. 47(3), pages 489-497, March.
    6. H. M. Amman & D. A. Kendrick, 2000. "Stochastic Policy Design in a Learning Environment with Rational Expectations," Journal of Optimization Theory and Applications, Springer, vol. 105(3), pages 509-520, June.
    7. Amman, Hans & Kendrick, David, 1999. "Linear-Quadratic Optimization For Models With Rational Expectations," Macroeconomic Dynamics, Cambridge University Press, vol. 3(4), pages 534-543, December.
    8. P. Ruben Mercado, 2004. "The Timing of Uncertainty and the Intensity of Policy," Computational Economics, Springer;Society for Computational Economics, vol. 23(4), pages 303-313, June.
    9. Simon Wiederhold, 2012. "The Role of Public Procurement in Innovation: Theory and Empirical Evidence," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 43.
    10. Woodford, Michael, 1995. "Price-level determinacy without control of a monetary aggregate," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 43(1), pages 1-46, December.
    11. Dennis, Richard, 2007. "Optimal Policy In Rational Expectations Models: New Solution Algorithms," Macroeconomic Dynamics, Cambridge University Press, vol. 11(1), pages 31-55, February.
    12. P. Mercado & David Kendrick, 2006. "Parameter Uncertainty and Policy Intensity: Some Extensions and Suggestions for Further Work," Computational Economics, Springer;Society for Computational Economics, vol. 27(4), pages 483-496, June.
    13. Simon Wiederhold, 2009. "Government Spending Composition in a Simple Model of Schumpeterian Growth," Jena Economics Research Papers 2009-101, Friedrich-Schiller-University Jena.
    14. Mercado, P. Ruben & Kendrick, David A., 2000. "Caution in macroeconomic policy: uncertainty and the relative intensity of policy," Economics Letters, Elsevier, vol. 68(1), pages 37-41, July.
    15. D.A. Kendrick & H.M. Amman & M.P. Tucci, 2008. "Learning About Learning in Dynamic Economic Models," Working Papers 08-20, Utrecht School of Economics.
    16. John Haltiwanger & Scott Schuh, 1999. "Gross job flows between plants and industries," New England Economic Review, Federal Reserve Bank of Boston, issue Mar, pages 41-64.
    17. Christian Groth & Karl-Josef Koch & Thomas Steger, 2006. "Rethinking the Concept of Long-Run Economic Growth," CESifo Working Paper Series 1701, CESifo.
    18. Smulders, Sjak & Gradus, Raymond, 1996. "Pollution abatement and long-term growth," European Journal of Political Economy, Elsevier, vol. 12(3), pages 505-532, November.
    19. Andersen, Torben M., 2005. "Product market integration, wage dispersion and unemployment," Labour Economics, Elsevier, vol. 12(3), pages 379-406, June.
    20. Radwanski, Juliusz, 2020. "On the Purchasing Power of Money in an Exchange Economy," MPRA Paper 104244, University Library of Munich, Germany.

    More about this item

    Keywords

    Hall and Taylor Model -John Taylor Model - Macroeconimics in DUALI;

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • E1 - Macroeconomics and Monetary Economics - - General Aggregative Models

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:111974. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.