IDEAS home Printed from https://ideas.repec.org/a/oup/restud/v84y2017i3p1015-1040..html
   My bibliography  Save this article

The Analytics of SVARs: A Unified Framework to Measure Fiscal Multipliers

Author

Listed:
  • Dario Caldara
  • Christophe Kamps

Abstract

Do tax cuts and spending increases stimulate output? Studies that identify fiscal shocks using structural vector autoregressions (SVAR) have reached different conclusions. In this article, we show analytically that this lack of consensus reflects different assumptions on the fiscal rules that—by relating tax and spending policies to macroeconomic conditions—determine the identification of fiscal shocks and the associated fiscal multipliers. We then propose a new identification strategy based on a proxy SVAR that uses non-fiscal instruments to directly estimate the parameters of the fiscal rules. We find that spending increases stimulate output more than tax cuts..

Suggested Citation

  • Dario Caldara & Christophe Kamps, 2017. "The Analytics of SVARs: A Unified Framework to Measure Fiscal Multipliers," Review of Economic Studies, Oxford University Press, vol. 84(3), pages 1015-1040.
  • Handle: RePEc:oup:restud:v:84:y:2017:i:3:p:1015-1040.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/restud/rdx030
    Download Restriction: Access to full text is restricted to subscribers.

    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. Leeper, Eric M. & Plante, Michael & Traum, Nora, 2010. "Dynamics of fiscal financing in the United States," Journal of Econometrics, Elsevier, vol. 156(2), pages 304-321, June.
    2. Carlo Favero & Francesco Giavazzi, 2012. "Measuring Tax Multipliers: The Narrative Method in Fiscal VARs," American Economic Journal: Economic Policy, American Economic Association, vol. 4(2), pages 69-94, May.
    3. 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.
    4. Lutz Kilian, 2013. "Structural vector autoregressions," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.),Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 22, pages 515-554, Edward Elgar Publishing.
    5. Mario Forni & Luca Gambetti, 2010. "Fiscal Foresight and the Effects of Government Spending," UFAE and IAE Working Papers 851.10, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    6. Juan F. Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2010. "Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference," Review of Economic Studies, Oxford University Press, vol. 77(2), pages 665-696.
    7. Karel Mertens & Morten Overgaard Ravn, 2011. "Understanding the Aggregate Effects of Anticipated and Unanticipated Tax Policy Shocks," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 27-54, January.
    8. Fabio Canova & Evi Pappa, 2007. "Price Differentials in Monetary Unions: The Role of Fiscal Shocks," Economic Journal, Royal Economic Society, vol. 117(520), pages 713-737, April.
    9. Caldara, Dario & Kamps, Christophe, 2008. "What are the effects of fiscal policy shocks? A VAR-based comparative analysis," Working Paper Series 877, European Central Bank.
    10. Ryan Chahrour & Stephanie Schmitt-Grohé & Martín Uribe, 2012. "A Model-Based Evaluation of the Debate on the Size of the Tax Multiplier," American Economic Journal: Economic Policy, American Economic Association, vol. 4(2), pages 28-45, May.
    11. Mertens, Karel & Ravn, Morten O., 2014. "A reconciliation of SVAR and narrative estimates of tax multipliers," Journal of Monetary Economics, Elsevier, vol. 68(S), pages 1-19.
    12. Linnemann, Ludger & Schabert, Andreas, 2003. "Fiscal Policy in the New Neoclassical Synthesis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(6), pages 911-929, December.
    13. Olivier Blanchard & Roberto Perotti, 2002. "An Empirical Characterization of the Dynamic Effects of Changes in Government Spending and Taxes on Output," The Quarterly Journal of Economics, Oxford University Press, vol. 117(4), pages 1329-1368.
    14. Leeper, Eric M. & Plante, Michael & Traum, Nora, 2010. "Dynamics of fiscal financing in the United States," Journal of Econometrics, Elsevier, vol. 156(2), pages 304-321, June.
    15. 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)

    More about this item

    Keywords

    Fiscal policy; Identification; Structural vector autoregressions;

    JEL classification:

    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

    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:oup:restud:v:84:y:2017:i:3:p:1015-1040.. 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: (Oxford University Press). General contact details of provider: .

    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.