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Closer to Finding Yeti

Author

Listed:
  • Tomas Micko

    (Council for Budget Responsibility)

  • Alexander Karsay

    (Council for Budget Responsibility)

  • Zuzana Mucka

    (Council for Budget Responsibility)

  • Lucia Sramkova

    (Council for Budget Responsibility)

Abstract

This paper offers a synthesis of several approaches to measuring output gap in Slovakia and serves as an update of the original CBR work Finding Yeti after almost a decade. A “suite of models” approach is estimated and assessed to provide advantages over single models. Following the recommendation of the EU IFIs guide suggesting no one-size-fits-all approach for measuring output gap, our family of methods consist of two unobserved component models, principal component model, semi-structural model and Modified Hamilton filter. We propose a novelty approach to weighting the individual models capturing recent structural innovations in the economy to construct one central estimate of the output gap. Such a robust estimate is maximising its overall plausibility and applicability to prudent fiscal policy assessment.

Suggested Citation

  • Tomas Micko & Alexander Karsay & Zuzana Mucka & Lucia Sramkova, 2023. "Closer to Finding Yeti," Working Papers Working Paper No. 1/2023, Council for Budget Responsibility.
    • Handle: RePEc:cbe:wpaper:202301
    as

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    References listed on IDEAS

    as
    1. Planas, Christophe & Rossi, Alessandro & Fiorentini, Gabriele, 2008. "Bayesian Analysis of the Output Gap," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 18-32, January.
    2. Stock, James H. & Watson, Mark W., 1999. "Forecasting inflation," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 293-335, October.
    3. Patrick Blagrave & Mr. Roberto Garcia-Saltos & Mr. Douglas Laxton & Fan Zhang, 2015. "A Simple Multivariate Filter for Estimating Potential Output," IMF Working Papers 2015/079, International Monetary Fund.
    4. Josefine Quast & Maik H. Wolters, 2022. "Reliable Real-Time Output Gap Estimates Based on a Modified Hamilton Filter," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 152-168, January.
    5. Alan J. Auerbach, 2009. "Implementing the New Fiscal Policy Activism," American Economic Review, American Economic Association, vol. 99(2), pages 543-549, May.
    6. Michel Juillard & Charles Freedman & Dmitry Korshunov & Mr. Douglas Laxton & Mr. Ondrej Kamenik & Ioan Carabenciov & Igor Ermolaev & Jared Laxton, 2008. "A Small Quarterly Multi-Country Projection Model with Financial-Real Linkages and Oil Prices," IMF Working Papers 2008/280, International Monetary Fund.
    7. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Papers 2202.04146, arXiv.org, revised Oct 2024.
    8. James D. Hamilton, 2018. "Why You Should Never Use the Hodrick-Prescott Filter," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 831-843, December.
    9. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Working Papers 22-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    10. Berger, Tino & Kempa, Bernd, 2011. "Bayesian estimation of the output gap for a small open economy: The case of Canada," Economics Letters, Elsevier, vol. 112(1), pages 107-112, July.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    output gap; unobserved component; trend; cycle; plausibility; Bayesian analysis; estimation;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory

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