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Pre-announcement and timing: The effects of a government expenditure shock

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  • Kriwoluzky, Alexander

Abstract

An econometric strategy to identify a pre-announced fiscal policy shock is proposed. I show that the reduced form innovations can be recovered by estimating a Vector-moving-average model using the Kalman filter. The structural effects are identified exploiting the shock's pre-announced nature, which leads to potentially different signs of the responses of some endogenous variables during the announcement and after the realization of the shock. I illustrate my strategy by identifying a pre-announced shock to government consumption expenditures. I find that the response of private consumption is significantly negative on impact, rises and becomes significantly positive two quarters after the realization of the policy shock.

Suggested Citation

  • Kriwoluzky, Alexander, 2012. "Pre-announcement and timing: The effects of a government expenditure shock," European Economic Review, Elsevier, vol. 56(3), pages 373-388.
    • Handle: RePEc:eee:eecrev:v:56:y:2012:i:3:p:373-388
    DOI: 10.1016/j.euroecorev.2011.10.005
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    Cited by:

    1. Efrem Castelnuovo & Guay Lim, 2019. "What Do We Know About the Macroeconomic Effects of Fiscal Policy? A Brief Survey of the Literature on Fiscal Multipliers," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 52(1), pages 78-93, March.
    2. Eric M. Leeper & Alexander W. Richter & Todd B. Walker, 2012. "Quantitative Effects of Fiscal Foresight," American Economic Journal: Economic Policy, American Economic Association, vol. 4(2), pages 115-144, May.
    3. Furlanetto, Francesco, 2011. "Fiscal stimulus and the role of wage rigidity," Journal of Economic Dynamics and Control, Elsevier, vol. 35(4), pages 512-527, April.
    4. Hauptmeier, Sebastian & Cimadomo, Jacopo & Kirchner, Markus, 2010. "Transmission of government spending shocks in the euro area: Time variation and driving forces," Working Paper Series 1219, European Central Bank.
    5. Robert S. Chirinko & Daniel J. Wilson, 2023. "Fiscal Foresight and Perverse Distortions to Firm Behavior: Anticipatory Dips and Compensating Rebounds," Working Paper Series 2021-15, Federal Reserve Bank of San Francisco.
    6. Sorge, Marco M., 2012. "News shocks or parametric indeterminacy? An observational equivalence result in linear rational expectations models," Economics Letters, Elsevier, vol. 114(2), pages 198-200.
    7. Crowley, Patrick M. & Hudgins, David, 2015. "Euro area monetary and fiscal policy tracking design in the time-frequency domain," Research Discussion Papers 12/2015, Bank of Finland.
    8. Tomas Havranek & Anna Sokolova, 2016. "Do Consumers Really Follow a Rule of Thumb? Three Thousand Estimates from 130 Studies Say "Probably Not"," Working Papers 2016/08, Czech National Bank.
    9. Hur, Joonyoung & Rhee, Wooheon, 2020. "Multipliers of expected vs. unexpected fiscal shocks: The case of Korea," Economic Modelling, Elsevier, vol. 85(C), pages 244-254.
    10. Crowley, Patrick M. & Hudgins, David, 2015. "Euro area monetary and fiscal policy tracking design in the time-frequency domain," Bank of Finland Research Discussion Papers 12/2015, Bank of Finland.
    11. Crowley, Patrick M. & Hudgins, David, 2015. "Fiscal policy tracking design in the time–frequency domain using wavelet analysis," Economic Modelling, Elsevier, vol. 51(C), pages 502-514.
    12. Tenhofen, Jörn & Wolff, Guntram B., 2010. "Does anticipation of government spending matter? The role of (non-)defense spending," Bonn Econ Discussion Papers 12/2010, University of Bonn, Bonn Graduate School of Economics (BGSE).
    13. repec:zbw:bofrdp:2015_012 is not listed on IDEAS
    14. Eric Leeper & Todd Walker, 2011. "Information Flows and News Driven Business Cycles," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 55-71, January.
    15. repec:zbw:bofrdp:urn:nbn:fi:bof-201508131350 is not listed on IDEAS
    16. Crowley, Patrick M. & Hudgins, David, 2017. "Wavelet-based monetary and fiscal policy in the Euro area," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 206-231.
    17. Tomas Havranek & Anna Sokolova, 2020. "Do Consumers Really Follow a Rule of Thumb? Three Thousand Estimates from 144 Studies Say 'Probably Not'," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 35, pages 97-122, January.
    18. repec:bof:bofrdp:urn:nbn:fi:bof-201508131350 is not listed on IDEAS
    19. Francesco Furlanetto, 2009. "Fiscal stimulus in a credit crunch: the role of wage rigidity," Working Paper 2009/08, Norges Bank.

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    More about this item

    Keywords

    Fiscal policy; Fiscal foresight; Vector Autoregressive Moving Average Process;
    All these keywords.

    JEL classification:

    • 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
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory

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