IDEAS home Printed from https://ideas.repec.org/a/eee/dyncon/v24y2000i4p615-622.html
   My bibliography  Save this article

An analytic Riccati solution for two-target discrete-time control

Author

Listed:
  • Mitchell, Douglas W.

Abstract

No abstract is available for this item.

Suggested Citation

  • Mitchell, Douglas W., 2000. "An analytic Riccati solution for two-target discrete-time control," Journal of Economic Dynamics and Control, Elsevier, vol. 24(4), pages 615-622, April.
    • Handle: RePEc:eee:dyncon:v:24:y:2000:i:4:p:615-622
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165-1889(98)00090-6
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Norman, Alfred L, 1974. "On the Relationship Between Linear Feedback Control and First Period Certainty Equivalence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(1), pages 209-215, February.
    2. Amman, Hans M. & Neudecker, Heinz, 1997. "Numerical solutions of the algebraic matrix Riccati equation," Journal of Economic Dynamics and Control, Elsevier, vol. 21(2-3), pages 363-369.
    3. Turnovsky, Stephen J, 1974. "The Stability Properties of Optimal Economic Policies," American Economic Review, American Economic Association, vol. 64(1), pages 136-148, March.
    4. Hans M. Amman & David A. Kendrick, . "Computational Economics," Online economics textbooks, SUNY-Oswego, Department of Economics, number comp1.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Balvers, Ronald J. & Mitchell, Douglas W., 2007. "Reducing the dimensionality of linear quadratic control problems," Journal of Economic Dynamics and Control, Elsevier, vol. 31(1), pages 141-159, January.
    2. Drekic, Steve & Spivey, Michael Z., 2021. "On the number of trials needed to obtain k consecutive successes," Statistics & Probability Letters, Elsevier, vol. 176(C).

    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. 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. Klein, Paul, 2000. "Using the generalized Schur form to solve a multivariate linear rational expectations model," Journal of Economic Dynamics and Control, Elsevier, vol. 24(10), pages 1405-1423, September.
    3. Balvers, Ronald J. & Mitchell, Douglas W., 2007. "Reducing the dimensionality of linear quadratic control problems," Journal of Economic Dynamics and Control, Elsevier, vol. 31(1), pages 141-159, January.
    4. 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.
    5. Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez, 2001. "Comparing dynamic equilibrium economies to data," FRB Atlanta Working Paper 2001-23, Federal Reserve Bank of Atlanta.
    6. Blueschke-Nikolaeva, V. & Blueschke, D. & Neck, R., 2012. "Optimal control of nonlinear dynamic econometric models: An algorithm and an application," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3230-3240.
    7. Hugo Benítez-Silva & Eva Cárceles-Poveda & Selçuk Eren, 2011. "Effects of Legal and Unauthorized Immigration on the U.S. Social Security System," Working Papers wp250, University of Michigan, Michigan Retirement Research Center.
    8. Arnulfo Rodriguez, 2004. "Robust Control: A Note on the Timing of Model Uncertainty," Computing in Economics and Finance 2004 147, Society for Computational Economics.
    9. Arpita Chatterjee, 2013. "Globalization and Monetary Policy: An Empirical Analysis," Discussion Papers 2013-08, School of Economics, The University of New South Wales.
    10. Linnea Polgreen & Pedro Silos, 2008. "Capital-Skill Complementarity and Inequality: A Sensitivity Analysis," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(2), pages 302-313, April.
    11. Eduardo Haddad & Alexandre A. Porsse & Eduardo P. Ribeiro, 2006. "Modeling Interjurisdictional Tax Competition in a Federal System," ERSA conference papers ersa06p359, European Regional Science Association.
    12. Siem Jan Koopman & Neil Shephard, 2002. "Testing the Assumptions Behind the Use of Importance Sampling," Economics Papers 2002-W17, Economics Group, Nuffield College, University of Oxford.
    13. John Geweke & Joel Horowitz & M. Hashem Pesaran, 2006. "Econometrics: A Bird’s Eye View," CESifo Working Paper Series 1870, CESifo.
    14. Park, Byeong U. & Sickles, Robin C. & Simar, Leopold, 2003. "Semiparametric-efficient estimation of AR(1) panel data models," Journal of Econometrics, Elsevier, vol. 117(2), pages 279-309, December.
    15. John Stachurski, 2009. "Economic Dynamics: Theory and Computation," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262012774, April.
    16. Kenneth L. Judd & Lilia Maliar & Serguei Maliar & Inna Tsener, 2017. "How to solve dynamic stochastic models computing expectations just once," Quantitative Economics, Econometric Society, vol. 8(3), pages 851-893, November.
    17. Hordahl, Peter & Tristani, Oreste & Vestin, David, 2006. "A joint econometric model of macroeconomic and term-structure dynamics," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 405-444.
    18. Tom Kompas & Long Chu, 2010. "A Comparison of Parametric Approximation Techniques to Continuous-Time Stochastic Dynamic Programming Problems," Environmental Economics Research Hub Research Reports 1071, Environmental Economics Research Hub, Crawford School of Public Policy, The Australian National University.
    19. Richard Dennis, 2007. "Model uncertainty and monetary policy," Working Paper Series 2007-09, Federal Reserve Bank of San Francisco.
    20. Stephanie Becker & Lars Grüne & Willi Semmler, 2007. "Comparing accuracy of second-order approximation and dynamic programming," Computational Economics, Springer;Society for Computational Economics, vol. 30(1), pages 65-91, August.

    More about this item

    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:eee:dyncon:v:24:y:2000:i:4:p:615-622. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jedc .

    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.