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Regime-Switching Models, A guide to the Bank of Canada Gauss Procedures

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  • Simon van Norden
  • Robert Vigfusson

Abstract

This paper is a user' guide to a set of Guss procedures developed at the Bank of Canada for estimating regime-switching models. The procedure can estimate relatively quickly a wide variety of switching models and so should prove useful to the applied researchers. Sample program listings are included.

Suggested Citation

  • Simon van Norden & Robert Vigfusson, 1996. "Regime-Switching Models, A guide to the Bank of Canada Gauss Procedures," Staff Working Papers 96-3, Bank of Canada.
    • Handle: RePEc:bca:bocawp:96-3
    DOI: 10.34989/swp-1996-3
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    References listed on IDEAS

    as
    1. Pierre St-Amant, 1996. "Decomposing U.S. Nominal Interest Rates into Expected Inflation and Ex Ante Real Interest rates Using Structural VAR Methodology," Staff Working Papers 96-2, Bank of Canada.
    2. Hansen, Bruce E, 1996. "Erratum: The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(2), pages 195-198, March-Apr.
    3. Engel, Charles, 1994. "Can the Markov switching model forecast exchange rates?," Journal of International Economics, Elsevier, vol. 36(1-2), pages 151-165, February.
    4. Alain DeSerres & Alain Guay & Pierre St-Amant, 1995. "Estimating and Projecting Potential Output Using Structural VAR Methodology," Macroeconomics 9504003, University Library of Munich, Germany.
    5. Joseph Atta-Mensah, 1996. "The Empirical Performance of Alternative Monetary and Liquidity Aggregates," Macroeconomics 9601001, University Library of Munich, Germany.
    6. Durland, J. Michael & McCurdy, Thomas H., 1993. "Duration Dependent Transitions in a Markov Model of U.S. GNP Growth," Queen's Economics Department Working Papers 273295, Queen's University - Department of Economics.
    7. Francis X. Diebold & Joon-Haeng Lee & Gretchen C. Weinbach, 1993. "Regime switching with time-varying transition probabilities," Working Papers 93-12, Federal Reserve Bank of Philadelphia.
    8. Engel, Charles & Hamilton, James D, 1990. "Long Swings in the Dollar: Are They in the Data and Do Markets Know It?," American Economic Review, American Economic Association, vol. 80(4), pages 689-713, September.
    9. Gable, Jeff & van Norden, Simon & Vigfusson, Robert, 1997. "Analytical Derivatives for Markov Switching Models," Computational Economics, Springer;Society for Computational Economics, vol. 10(2), pages 187-194, May.
    10. Durland, J Michael & McCurdy, Thomas H, 1994. "Duration-Dependent Transitions in a Markov Model of U.S. GNP Growth," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 279-288, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. David Bolder, 2002. "Towards a More Complete Debt Strategy Simulation Framework," Staff Working Papers 02-13, Bank of Canada.
    2. Maurice J. Roche, 1999. "Irish House Prices - Will the Roof Cave In?," The Economic and Social Review, Economic and Social Studies, vol. 30(4), pages 343-362.
    3. Isabelle Weberpals, 1997. "The Liquidity Trap: Evidence from Japan," Staff Working Papers 97-4, Bank of Canada.
    4. Ryan Lemand, 2003. "Should Stock Market Indexes Time Varying Correlations Be Taken Into Account? A Conditional Variance Multivariate Approach," Econometrics 0307004, University Library of Munich, Germany, revised 07 Dec 2020.
    5. Ryan Lemand, 2003. "New Technology Stock Market Indexes Contagion: A VAR-dccMVGARCH Approach," Econometrics 0307003, University Library of Munich, Germany, revised 07 Dec 2020.
    6. Peixin (Payton) Liu & Kuan Xu & Yonggan Zhao, 2011. "Market regimes, sectorial investments, and time‐varying risk premiums," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 7(2), pages 107-133, April.
    7. Jeanne, Olivier & Masson, Paul, 2000. "Currency crises, sunspots and Markov-switching regimes," Journal of International Economics, Elsevier, vol. 50(2), pages 327-350, April.
    8. Ryan Lemand, 2003. "The Contagion Effect Between the Volatilities of the NASDAQ-100 and the IT.CA :A Univariate and A Bivariate Switching Approach," Econometrics 0307002, University Library of Munich, Germany, revised 07 Dec 2020.
    9. Solomon A. Olakojo & Abayomi T. Onanuga & Olaronke T. Onanuga, 2021. "COVID-19: Putting Stock Markets Back on Recovery Among the Crude Oil Producing Economies," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 15(1), February.
    10. Robert Vigfusson & Simon van Norden, 1996. "Avoiding the Pitfalls: Can Regime-Switching Tests Detect Bubbles?," Staff Working Papers 96-11, Bank of Canada.
    11. T. -W. Ho, 2003. "Regime-switching properties of the optimal seigniorage hypothesis: the case of Taiwan," Applied Economics, Taylor & Francis Journals, vol. 35(4), pages 485-494.
    12. Tsung-wu Ho, 2001. "Analyzing the Crowding-out Problems of Taiwan," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 26(1), pages 115-131, June.
    13. Zhang, Yue-Jun & Li, Zhao-Chen, 2021. "Forecasting the stock returns of Chinese oil companies: Can investor attention help?," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 531-555.
    14. Maurice J. Roche, 1999. "Irish house prices: will the roof fall in?," Economics Department Working Paper Series n890699, Department of Economics, National University of Ireland - Maynooth.
    15. Roche, Maurice J., 2001. "The rise in house prices in Dublin: bubble, fad or just fundamentals," Economic Modelling, Elsevier, vol. 18(2), pages 281-295, April.

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    More about this item

    Keywords

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    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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