IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/7423.html
   My bibliography  Save this paper

Measuring the Impact of Fiscal Policy in the Face of Anticipation: A Structural VAR Approach

Author

Listed:
  • Mertens, Karel
  • Ravn, Morten O

Abstract

Empirical estimates of the impact of government spending shocks disagree on central issues such as the size of output multipliers and the responses of consumption and the real wage. One explanation for the disagreement is that fiscal shocks are often anticipated. Due to misspecification of the information set, anticipation effects may invalidate SVAR estimates of impulse responses. We use economic theory to derive a fiscal SVAR estimator that is applicable when fiscal shocks are anticipated. We study its properties and apply it to US data. We fail to find evidence that anticipation effects overturn the existing findings from the fiscal SVAR literature.

Suggested Citation

  • Mertens, Karel & Ravn, Morten O, 2009. "Measuring the Impact of Fiscal Policy in the Face of Anticipation: A Structural VAR Approach," CEPR Discussion Papers 7423, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:7423
    as

    Download full text from publisher

    File URL: http://www.cepr.org/active/publications/discussion_papers/dp.php?dpno=7423
    Download Restriction: CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Stephanie Schmitt‐Grohé & Martín Uribe, 2012. "What's News in Business Cycles," Econometrica, Econometric Society, vol. 80(6), pages 2733-2764, November.
    2. Karel Mertens & Morten O. Ravn, 2012. "Empirical Evidence on the Aggregate Effects of Anticipated and Unanticipated US Tax Policy Shocks," American Economic Journal: Economic Policy, American Economic Association, vol. 4(2), pages 145-181, May.
    3. Andrew Mountford & Harald Uhlig, 2009. "What are the effects of fiscal policy shocks?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 960-992.
    4. Lippi, Marco & Reichlin, Lucrezia, 1994. "VAR analysis, nonfundamental representations, blaschke matrices," Journal of Econometrics, Elsevier, vol. 63(1), pages 307-325, July.
    5. Domenico Giannone & Lucrezia Reichlin, 2006. "Does information help recovering structural shocks from past observations?," Journal of the European Economic Association, MIT Press, vol. 4(2-3), pages 455-465, 04-05.
    6. Giancarlo Corsetti & André Meier & Gernot J. Müller, 2012. "Fiscal Stimulus with Spending Reversals," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 878-895, November.
    7. Paul Beaudry & Franck Portier, 2006. "Stock Prices, News, and Economic Fluctuations," American Economic Review, American Economic Association, vol. 96(4), pages 1293-1307, September.
    8. Lawrence J. Christiano & Cosmin Ilut & Roberto Motto & Massimo Rostagno, 2010. "Monetary policy and stock market booms," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 85-145.
    9. Morten Ravn & Stephanie Schmitt-Grohé & Martín Uribe, 2006. "Deep Habits," Review of Economic Studies, Oxford University Press, vol. 73(1), pages 195-218.
    10. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2007. "Assessing Structural VARs," NBER Chapters, in: NBER Macroeconomics Annual 2006, Volume 21, pages 1-106, National Bureau of Economic Research, Inc.
    11. Ravn, Morten O & Schmitt-Grohé, Stephanie & Uribe, Martín, 2007. "Explaining the Effects of Government Spending Shocks on Consumption and the Real Exchange Rate," CEPR Discussion Papers 6541, C.E.P.R. Discussion Papers.
    12. Eric M. Leeper & Todd B. Walker & Shu-Chun Susan Yang, 2008. "Fiscal Foresight: Analytics and Econometrics," CAEPR Working Papers 2008-013, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    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. Paul Beaudry & Franck Portier, 2014. "News-Driven Business Cycles: Insights and Challenges," Journal of Economic Literature, American Economic Association, vol. 52(4), pages 993-1074, December.
    2. Karel Mertens & Morten Ravn, 2011. "The Research Agenda: Karel Mertens and Morten Ravn on Fiscal Policy, Anticipation Effects, Expectations and Crisis," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 12(2), April.
    3. Roel Beetsma & Massimo Giuliodori, 2011. "The Effects of Government Purchases Shocks: Review and Estimates for the EU," Economic Journal, Royal Economic Society, vol. 121(550), pages 4-32, February.
    4. Born, Benjamin & Peter, Alexandra & Pfeifer, Johannes, 2013. "Fiscal news and macroeconomic volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2582-2601.
    5. Ramey, V.A., 2016. "Macroeconomic Shocks and Their Propagation," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 71-162, Elsevier.
    6. Kriwoluzky, Alexander, 2012. "Pre-announcement and timing: The effects of a government expenditure shock," European Economic Review, Elsevier, vol. 56(3), pages 373-388.
    7. Forni, Mario & Gambetti, Luca, 2014. "Sufficient information in structural VARs," Journal of Monetary Economics, Elsevier, vol. 66(C), pages 124-136.
    8. Mario Forni & Luca Gambetti & Luca Sala, 2014. "No News in Business Cycles," Economic Journal, Royal Economic Society, vol. 124(581), pages 1168-1191, December.
    9. Karel Mertens & Morten O. Ravn, 2012. "Empirical Evidence on the Aggregate Effects of Anticipated and Unanticipated US Tax Policy Shocks," American Economic Journal: Economic Policy, American Economic Association, vol. 4(2), pages 145-181, May.
    10. Eric M. Leeper & Todd B. Walker & Shu‐Chun Susan Yang, 2013. "Fiscal Foresight and Information Flows," Econometrica, Econometric Society, vol. 81(3), pages 1115-1145, May.
    11. Bouakez, Hafedh & Chihi, Foued & Normandin, Michel, 2014. "Measuring the effects of fiscal policy," Journal of Economic Dynamics and Control, Elsevier, vol. 47(C), pages 123-151.
    12. Hamidi Sahneh, Mehdi, 2015. "Are the shocks obtained from SVAR fundamental?," MPRA Paper 65126, University Library of Munich, Germany.
    13. Stefano Eusepi & Bruce Preston, 2009. "Labor Supply Heterogeneity and Macroeconomic Co-movement," NBER Working Papers 15561, National Bureau of Economic Research, Inc.
    14. Shafik Hebous, 2011. "The Effects Of Discretionary Fiscal Policy On Macroeconomic Aggregates: A Reappraisal," Journal of Economic Surveys, Wiley Blackwell, vol. 25(4), pages 674-707, September.
    15. Forni, Mario & Gambetti, Luca, 2016. "Government spending shocks in open economy VARs," Journal of International Economics, Elsevier, vol. 99(C), pages 68-84.
    16. Mario Forni & Luca Gambetti, 2011. "Testing for Sufficient Information in Structural VARs," Working Papers 536, Barcelona Graduate School of Economics.
    17. 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.
    18. Francisco Castro & Daniel Garrote, 2015. "The effects of fiscal shocks on the exchange rate in the EMU and differences with the USA," Empirical Economics, Springer, vol. 49(4), pages 1341-1365, December.
    19. Luca Sala & Luca Gambetti & Mario Forni, 2016. "VAR Information and the Empirical Validation of DSGE Models," 2016 Meeting Papers 260, Society for Economic Dynamics.
    20. Iskrev, Nikolay, 2019. "On the sources of information about latent variables in DSGE models," European Economic Review, Elsevier, vol. 119(C), pages 318-332.

    More about this item

    Keywords

    anticipation effects; fiscal policy; structural vector autoregressions;
    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
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • 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

    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:cpr:ceprdp:7423. 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: . General contact details of provider: https://www.cepr.org .

    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: (email available below). General contact details of provider: https://www.cepr.org .

    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.