IDEAS home Printed from https://ideas.repec.org/p/zbw/bamber/138.html
   My bibliography  Save this paper

Fiscal stimulus in an expectation driven liquidity trap

Author

Listed:
  • Lustenhouwer, Joep

Abstract

I study expectation driven liquidity traps in a model were agents have finite planning horizons and heterogeneous expectations. There are backward-looking agents, who base their expectations on past observations, and forward-looking agents, who observe the expectations of backward-looking agents, and use model equations within their planning horizon to make forecasts. Expectation driven liquidity traps arise when the presence of backward-looking agents leads to a wave of pessimism after a single, non-persistent, negative preference shock. I find that fiscal stimulus in the form of an increase in government spending or a cut in consumption taxes can be very effective in mitigating the liquidity trap. Moreover, an adequate response of these measures is found to always be able to prevent deflationary spirals, that can arise when there is a large fraction of backward-looking agents with a longer planning horizon. A positive in ation target furthermore reduces the fiscal stimulus required to resolve a liquidity trap for any given size of the negative preference shock. In contrast fiscal stimulus in the form of labor tax cuts is deflationary and hardly effective in mitigating liquidity traps.

Suggested Citation

  • Lustenhouwer, Joep, 2018. "Fiscal stimulus in an expectation driven liquidity trap," BERG Working Paper Series 138, Bamberg University, Bamberg Economic Research Group.
  • Handle: RePEc:zbw:bamber:138
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/184679/1/1038924804.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Assenza, T. & Heemeijer, P. & Hommes, C.H. & Massaro, D., 2014. "Managing Self-organization of Expectations through Monetary Policy: a Macro Experiment," CeNDEF Working Papers 14-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    2. Benhabib, Jess & Evans, George W. & Honkapohja, Seppo, 2014. "Liquidity traps and expectation dynamics: Fiscal stimulus or fiscal austerity?," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 220-238.
    3. Evans, George W. & Guse, Eran & Honkapohja, Seppo, 2008. "Liquidity traps, learning and stagnation," European Economic Review, Elsevier, vol. 52(8), pages 1438-1463, November.
    4. Branch, William A. & McGough, Bruce, 2010. "Dynamic predictor selection in a new Keynesian model with heterogeneous expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 34(8), pages 1492-1508, August.
    5. William A. Branch, 2004. "The Theory of Rationally Heterogeneous Expectations: Evidence from Survey Data on Inflation Expectations," Economic Journal, Royal Economic Society, vol. 114(497), pages 592-621, July.
    6. 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.
    7. Christopher Erceg & Jesper Lindé, 2014. "Is There A Fiscal Free Lunch In A Liquidity Trap?," Journal of the European Economic Association, European Economic Association, vol. 12(1), pages 73-107, February.
    8. Branch, William A. & McGough, Bruce, 2009. "A New Keynesian model with heterogeneous expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 33(5), pages 1036-1051, May.
    9. Evans, George W. & Honkapohja, Seppo, 2009. "Expectations, deflation traps and macroeconomic policy," Research Discussion Papers 24/2009, Bank of Finland.
    10. Karel R. S. M. Mertens & Morten O. Ravn, 2014. "Fiscal Policy in an Expectations-Driven Liquidity Trap," Review of Economic Studies, Oxford University Press, vol. 81(4), pages 1637-1667.
    11. Michael Woodford, 2011. "Simple Analytics of the Government Expenditure Multiplier," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(1), pages 1-35, January.
    12. Massaro, Domenico, 2013. "Heterogeneous expectations in monetary DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 680-692.
    13. Isabel Correia & Emmanuel Farhi & Juan Pablo Nicolini & Pedro Teles, 2013. "Unconventional Fiscal Policy at the Zero Bound," American Economic Review, American Economic Association, vol. 103(4), pages 1172-1211, June.
    14. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    15. Beqiraj Elton & Di Bartolomeo Giovanni & Serpieri Carolina, 2017. "Bounded-rationality and heterogeneous agents: Long or short forecasters?," wp.comunite 00132, Department of Communication, University of Teramo.
    16. Szabolcs Deák & Paul Levine & Joseph Pearlman & Bo Yang, 2017. "Internal Rationality, Learning and Imperfect Information," School of Economics Discussion Papers 0817, School of Economics, University of Surrey.
    17. 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.
    18. Emanuel Gasteiger, 2014. "Heterogeneous Expectations, Optimal Monetary Policy, and the Merit of Policy Inertia," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(7), pages 1535-1554, October.
    19. Pfajfar, D. & Zakelj, B., 2011. "Inflation Expectations and Monetary Policy Design : Evidence from the Laboratory (Replaces CentER DP 2009-007)," Discussion Paper 2011-091, Tilburg University, Center for Economic Research.
    20. Cars Hommes & Domenico Massaro & Isabelle Salle, 2019. "Monetary And Fiscal Policy Design At The Zero Lower Bound: Evidence From The Lab," Economic Inquiry, Western Economic Association International, vol. 57(2), pages 1120-1140, April.
    21. Lustenhouwer, Joep & Mavromatis, Kostas, 2017. "Fiscal consolidations and finite planning horizons," BERG Working Paper Series 130, Bamberg University, Bamberg Economic Research Group.
    22. Branch, William A., 2007. "Sticky information and model uncertainty in survey data on inflation expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 31(1), pages 245-276, January.
    Full references (including those not matched with items on IDEAS)

    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:zbw:bamber:138. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ZBW - Leibniz Information Centre for Economics). General contact details of provider: http://edirc.repec.org/data/bebamde.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.