IDEAS home Printed from https://ideas.repec.org/p/cnb/wpaper/2015-13.html
   My bibliography  Save this paper

Dynamics of Linear Forward-looking Structural Macroeconomic Models at the Zero Lower Bound: Do Solution Techniques Matter?

Author

Listed:
  • Jan Bruha

Abstract

Yes, they do matter, sometimes a lot. In this paper, I compare various solution techniques that can be used to solve structural forward-looking macroeconomic models subject to the zero lower bound as the only non-linearity. I use stylized forward-looking models to compare the solution techniques based on impulse responses, on the implications of forward guidance, on the values of fiscal multipliers, and on solution accuracy. I disprove recent claims in the literature that various solution methods yield identical dynamics. The solutions are equivalent only if the zero lower bound constraint binds for no more than one period, otherwise the implied dynamics can be different. Moreover, I find that large effects of forward guidance and large fiscal multipliers at the zero lower bound are found especially when models are solved using 'shadow' shocks. On the other hand, the occasional-binding toolbox and solutions based on a non-linear deterministic solver imply small effects of forward guidance and fiscal multipliers that are not significantly larger at the zero lower bound than during normal times. Moreover, these two types of solutions seem to be the most accurate.

Suggested Citation

  • Jan Bruha, 2015. "Dynamics of Linear Forward-looking Structural Macroeconomic Models at the Zero Lower Bound: Do Solution Techniques Matter?," Working Papers 2015/13, Czech National Bank.
  • Handle: RePEc:cnb:wpaper:2015/13
    as

    Download full text from publisher

    File URL: https://www.cnb.cz/export/sites/cnb/en/economic-research/.galleries/research_publications/cnb_wp/cnbwp_2015_13.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fernández-Villaverde, Jesús & Gordon, Grey & Guerrón-Quintana, Pablo & Rubio-Ramírez, Juan F., 2015. "Nonlinear adventures at the zero lower bound," Journal of Economic Dynamics and Control, Elsevier, vol. 57(C), pages 182-204.
    2. Tom Holden & Michael Paetz, 2012. "Efficient Simulation of DSGE Models with Inequality Constraints," Quantitative Macroeconomics Working Papers 21207b, Hamburg University, Department of Economics.
    3. Günter Coenen & Christopher J. Erceg & Charles Freedman & Davide Furceri & Michael Kumhof & René Lalonde & Douglas Laxton & Jesper Lindé & Annabelle Mourougane & Dirk Muir & Susanna Mursula & Carlos d, 2012. "Effects of Fiscal Stimulus in Structural Models," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(1), pages 22-68, January.
    4. Boneva, Lena Mareen & Braun, R. Anton & Waki, Yuichiro, 2016. "Some unpleasant properties of loglinearized solutions when the nominal rate is zero," Journal of Monetary Economics, Elsevier, vol. 84(C), pages 216-232.
    5. Lawrence Christiano & Martin Eichenbaum & Sergio Rebelo, 2011. "When Is the Government Spending Multiplier Large?," Journal of Political Economy, University of Chicago Press, vol. 119(1), pages 78-121.
    6. Guerrieri, Luca & Iacoviello, Matteo, 2015. "OccBin: A toolkit for solving dynamic models with occasionally binding constraints easily," Journal of Monetary Economics, Elsevier, vol. 70(C), pages 22-38.
    7. Yongyang Cai & Kenneth Judd & Jevgenijs Steinbuks, 2017. "A nonlinear certainty equivalent approximation method for dynamic stochastic problems," Quantitative Economics, Econometric Society, vol. 8(1), pages 117-147, March.
    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. Jesper Lindé & Mathias Trabandt, 2018. "Should we use linearized models to calculate fiscal multipliers?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(7), pages 937-965, November.
    2. Andrew Binning & Junior Maih, 2016. "Forecast uncertainty in the neighborhood of the effective lower bound: How much asymmetry should we expect?," Working Paper 2016/13, Norges Bank.
    3. Ghassibe, Mishel & Zanetti, Francesco, 2022. "State dependence of fiscal multipliers: the source of fluctuations matters," Journal of Monetary Economics, Elsevier, vol. 132(C), pages 1-23.
    4. Ascari, Guido & Mavroeidis, Sophocles, 2022. "The unbearable lightness of equilibria in a low interest rate environment," Journal of Monetary Economics, Elsevier, vol. 127(C), pages 1-17.
    5. Jonathan Swarbrick, 2021. "Occasionally Binding Constraints in Large Models: A Review of Solution Methods," Discussion Papers 2021-5, Bank of Canada.
    6. Tom D. Holden, 2023. "Existence and Uniqueness of Solutions to Dynamic Models with Occasionally Binding Constraints," The Review of Economics and Statistics, MIT Press, vol. 105(6), pages 1481-1499, November.
    7. Yasuo Hirose & Takeki Sunakawa, 2023. "The Natural Rate of Interest in a Non-linear DSGE Model," International Journal of Central Banking, International Journal of Central Banking, vol. 19(1), pages 301-340, March.
    8. Benjamin D. Keen & Alexander W. Richter & Nathaniel A. Throckmorton, 2017. "Forward Guidance And The State Of The Economy," Economic Inquiry, Western Economic Association International, vol. 55(4), pages 1593-1624, October.
    9. Andrew Binning & Junior Maih, 2017. "Modelling Occasionally Binding Constraints Using Regime-Switching," Working Paper 2017/23, Norges Bank.
    10. Andrew Binning & Junior Maih, 2016. "Implementing the Zero Lower Bound in an Estimated Regime-Switching DSGE Model," Working Papers No 3/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    11. Christopher Gust & Edward Herbst & David López-Salido & Matthew E. Smith, 2017. "The Empirical Implications of the Interest-Rate Lower Bound," American Economic Review, American Economic Association, vol. 107(7), pages 1971-2006, July.
    12. Eric Sims & Jonathan Wolff, 2018. "The Output And Welfare Effects Of Government Spending Shocks Over The Business Cycle," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(3), pages 1403-1435, August.
    13. Martin Slanicay & Jan Čapek & Miroslav Hloušek, 2016. "Some Notes On Problematic Issues In Dsge Models," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 61(210), pages 79-100, July - Se.
    14. Timothy S. Hills & Taisuke Nakata, 2018. "Fiscal Multipliers at the Zero Lower Bound: The Role of Policy Inertia," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(1), pages 155-172, February.
    15. Ngo, Phuong V., 2021. "Fiscal Multipliers At The Zero Lower Bound: The Role Of Government Spending Persistence," Macroeconomic Dynamics, Cambridge University Press, vol. 25(4), pages 970-997, June.
    16. Aleksandra Praščević & Milutin Ješić, 2019. "Modeling Macroeconomic Policymakers’ Interactions under Zero Lower Bound Environment: The New Keynesian Theoretical Approach," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 8(1), pages 5-38.
    17. Hafedh Bouakez & Michel Guillard & Jordan Roulleau-Pasdeloup, 2017. "Public Investment, Time to Build, and the Zero Lower Bound," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 23, pages 60-79, January.
    18. Bletzinger, Tilman & Lalik, Magdalena, 2017. "The impact of constrained monetary policy on fiscal multipliers on output and inflation," Working Paper Series 2019, European Central Bank.
    19. Wataru Miyamoto & Thuy Lan Nguyen & Dmitriy Sergeyev, 2018. "Government Spending Multipliers under the Zero Lower Bound: Evidence from Japan," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(3), pages 247-277, July.
    20. Yoon J. Jo & Sarah Zubairy, 2021. "State dependent government spending multipliers: Downward nominal wage rigidity and sources of business cycle fluctuations," Working Papers 20210127-001, Texas A&M University, Department of Economics.

    More about this item

    Keywords

    Fiscal multiplier; forward guidance; solution methods; zero lower bound;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E63 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Comparative or Joint Analysis of Fiscal and Monetary Policy; Stabilization; Treasury Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cnb:wpaper:2015/13. 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: Jan Babecky (email available below). General contact details of provider: https://edirc.repec.org/data/cnbgvcz.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.