IDEAS home Printed from https://ideas.repec.org/p/ihs/ihstep/19.html
   My bibliography  Save this paper

A Comparative Analysis of the Czech Republic and Hungary. Using small Continuous-Time Macroeconometric Models

Author

Listed:
  • Stavrev, Emil

    (Economic Modelling Division, Czech National Bank)

Abstract

In this paper we estimate a continuous-time macroeconometric model of the Hungarian economy and compare it with the Czech model described in Stavrev (1998). On the basis of the estimated models we provide simulations and compare the results between the two countries for i) anti-inflationary policy; ii) monetary and fiscal policies; iii) the effect of different wage indexation schemes; iv) the effect of nominal wage rigidities and v) the effect of price and nominal wage freeze.

Suggested Citation

  • Stavrev, Emil, 2000. "A Comparative Analysis of the Czech Republic and Hungary. Using small Continuous-Time Macroeconometric Models," Transition Economics Series 19, Institute for Advanced Studies.
    • Handle: RePEc:ihs:ihstep:19
    as

    Download full text from publisher

    File URL: https://irihs.ihs.ac.at/id/eprint/1276
    File Function: First version, 2000
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hare, Paul & Revesz, Tamas & Zalai, Erno, 1993. "Modeling an economy in transition: trade adjustment policies for Hungary," Journal of Policy Modeling, Elsevier, vol. 15(5-6), pages 625-652.
    2. Emil Stavrev, 2001. "A small continuous time macro-econometric model of the Czech Republic," Empirical Economics, Springer, vol. 26(4), pages 673-705.
    3. Jonson, P D & Trevor, R G, 1981. "Monetary Rules: A Preliminary Analysis," The Economic Record, The Economic Society of Australia, vol. 57(157), pages 150-167, June.
    4. Mishkin, Frederic S, 1979. "Simulation Methodology in Macroeconomics: An Innovation Technique," Journal of Political Economy, University of Chicago Press, vol. 87(4), pages 816-836, August.
    5. Ann P. Bartel & Frank R. Lichtenberg, 1988. "Technical Change, Learning, and Wages," NBER Working Papers 2732, National Bureau of Economic Research, Inc.
    6. Liu, Ta-Chung, 1969. "A Monthly Recursive Econometric Model of United States: A Test of Feasibility," The Review of Economics and Statistics, MIT Press, vol. 51(1), pages 1-13, February.
    7. Breuss, Fritz & Tesche, Jean, 1993. "Hungary in transition: a computable general equilibrium model comparison with Austria," Journal of Policy Modeling, Elsevier, vol. 15(5-6), pages 581-623.
    8. Christopher A. Sims, 1982. "Policy Analysis with Econometric Models," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 13(1), pages 107-164.
    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. Jaanika Meriküll, 2004. "Macroeconometric Modelling of the Estonian Economy," University of Tartu - Faculty of Economics and Business Administration, in: Tiiu Paas & Egle Tafenau (ed.), Modelling the Economies of the Baltic Sea Region, edition 1, volume 17, chapter 5, pages 138-166, Faculty of Economics and Business Administration, University of Tartu (Estonia).

    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. Tsai, Grace Yueh-Hsiang, 1989. "A dynamic model of the U.S. cotton market with rational expectations," ISU General Staff Papers 1989010108000012168, Iowa State University, Department of Economics.
    2. Roberts, Barbara M. & Zolkiewski, Zbigniew, 1996. "Modelling income distribution in countries in transition: A computable general equilibrium analysis for Poland," Economic Modelling, Elsevier, vol. 13(1), pages 67-90, January.
    3. Piazolo, Daniel, 1998. "Investment behavior in dynamic computable general equilibrium models for transition economies," Kiel Working Papers 879, Kiel Institute for the World Economy (IfW Kiel).
    4. Barthélemy, Jean & Marx, Magali, 2017. "Solving endogenous regime switching models," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 1-25.
    5. Ahmed, M. Iqbal & Cassou, Steven P., 2021. "Asymmetries in the effects of unemployment expectation shocks as monetary policy shifts with economic conditions," Economic Modelling, Elsevier, vol. 100(C).
    6. Karimova, Amira & Simsek, Esra & Orhan, Mehmet, 2020. "Policy implications of the Lucas Critique empirically tested along the global financial crisis," Journal of Policy Modeling, Elsevier, vol. 42(1), pages 153-172.
    7. Scholl, Almuth & Uhlig, Harald, 2008. "New evidence on the puzzles: Results from agnostic identification on monetary policy and exchange rates," Journal of International Economics, Elsevier, vol. 76(1), pages 1-13, September.
    8. Thushyanthan Baskaran & Zohal Hessami, 2012. "Public education spending in a globalized world:," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(5), pages 677-707, October.
    9. Mankiw, N Gregory & Miron, Jeffrey A & Weil, David N, 1987. "The Adjustment of Expectations to a Change in Regime: A Study of the Founding of the Federal Reserve," American Economic Review, American Economic Association, vol. 77(3), pages 358-374, June.
    10. Bharat Trehan, 1986. "Oil prices, exchange rates and the U.S. economy: an empirical investigation," Economic Review, Federal Reserve Bank of San Francisco, issue Fall, pages 25-43.
    11. In-Koo Cho & Kenneth Kasa, 2015. "Learning and Model Validation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(1), pages 45-82.
    12. repec:ers:journl:v:volumexxi:y:2018:i:issue4:p:622-636 is not listed on IDEAS
    13. Glenn Rudebusch & Lars E.O. Svensson, 1999. "Policy Rules for Inflation Targeting," NBER Chapters, in: Monetary Policy Rules, pages 203-262, National Bureau of Economic Research, Inc.
    14. Leeper, Eric M. & Zha, Tao, 2003. "Modest policy interventions," Journal of Monetary Economics, Elsevier, vol. 50(8), pages 1673-1700, November.
    15. Pär Österholm, 2009. "Incorporating Judgement in Fan Charts," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(2), pages 387-415, June.
    16. Gideon O. Fadiran & Adebisi Edun, 2013. "An Overview of the Repo Rate in an Inflation Targeting Economy," African Development Review, African Development Bank, vol. 25(4), pages 621-635.
    17. Kocherlakota, Narayana R., 2019. "Practical policy evaluation," Journal of Monetary Economics, Elsevier, vol. 102(C), pages 29-45.
    18. Jean Barthélemy & Magali Marx, 2011. "State-Dependent Probability Distributions in Non Linear Rational Expectations Models," Sciences Po publications 347, Sciences Po.
    19. Carlo Altavilla & Domenico Giannone, 2017. "The Effectiveness of Non‐Standard Monetary Policy Measures: Evidence from Survey Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(5), pages 952-964, August.
    20. repec:hal:spmain:info:hdl:2441/7l23tbn4rd9539sljmp8of2hcb is not listed on IDEAS
    21. Jens Hilscher & Alon Raviv & Ricardo Reis, 2022. "Inflating Away the Public Debt? An Empirical Assessment," The Review of Financial Studies, Society for Financial Studies, vol. 35(3), pages 1553-1595.
    22. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.

    More about this item

    Keywords

    Lucas critique; Policy simulations; Macroeconometric model; Anti-inflationary policy; Effectiveness of monetary and fiscal policies;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    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:ihs:ihstep:19. 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: Doris Szoncsitz (email available below). General contact details of provider: https://edirc.repec.org/data/deihsat.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.