IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Fiscal Foresight, Limited Information and the Effects of Government Spending Shocks

  • Matteo Fragetta

    ()

    (University of Salerno, Department of Economics and Statistics)

  • Emanuel Gasteiger

    ()

    (ISCTE-IUL, Business School, Department of Economics and BRU-IUL)

We quantify the impact of government spending shocks in the US. Thereby, we control for fiscal foresight by utilizing the narrative approach. Moreover, we surmount the generic limited information problem inherent in vector autoregressions (VARs) by a factor-augmented VAR (FAVAR) approach. We find that a positive deficit-financed defense shock raises output by more than in a VAR (e.g. 2.61 vs. 2.04 for peak multipliers). Furthermore, our evidence suggests that consumption is crowded in. These results are robust to different variants of controlling for fiscal foresight and reveal the crucial role of the limited information problem in fiscal VARs.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://bru-unide.iscte.pt/RePEc/pdfs/12-02.pdf
File Function: First version, 2012
Download Restriction: no

Paper provided by ISCTE-IUL, Business Research Unit (BRU-IUL) in its series Working Papers Series 2 with number 12-02.

as
in new window

Length: 40 pages
Date of creation: 15 Jun 2012
Date of revision:
Handle: RePEc:isc:iscwp2:bruwp1202
Contact details of provider: Web page: http://bru-unide.iscte.pt/Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Alan J. Auerbach & Yuriy Gorodnichenko, 2012. "Measuring the Output Responses to Fiscal Policy," American Economic Journal: Economic Policy, American Economic Association, vol. 4(2), pages 1-27, May.
  2. Karel Mertens & MortenO. Ravn, 2010. "Measuring the Impact of Fiscal Policy in the Face of Anticipation: A Structural VAR Approach," Economic Journal, Royal Economic Society, vol. 120(544), pages 393-413, 05.
  3. Koop, Gary & Korobilis, Dimitris, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," MPRA Paper 20125, University Library of Munich, Germany.
  4. Todd B. Walker & Eric M. Leeper & Shu-Chun S. Yang, 2012. "Fiscal Foresight and Information Flows," IMF Working Papers 12/153, International Monetary Fund.
  5. Kwiatkowski, D. & Phillips, P.C.B. & Schmidt, P., 1990. "Testing the Null Hypothesis of Stationarity Against the Alternative of Unit Root : How Sure are we that Economic Time Series have a Unit Root?," Papers 8905, Michigan State - Econometrics and Economic Theory.
  6. Favero, Carlo A. & Giavazzi, Francesco, 2010. "Reconciling VAR-based and Narrative Measures of the Tax-Multiplier," CEPR Discussion Papers 7769, C.E.P.R. Discussion Papers.
  7. Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Econometric Society World Congress 2000 Contributed Papers 1504, Econometric Society.
  8. Valerie A. Ramey, 2011. "Can Government Purchases Stimulate the Economy?," Journal of Economic Literature, American Economic Association, vol. 49(3), pages 673-85, September.
  9. Burnside, Craig & Eichenbaum, Martin & Fisher, Jonas D. M., 2004. "Fiscal shocks and their consequences," Journal of Economic Theory, Elsevier, vol. 115(1), pages 89-117, March.
  10. Forni, Mario & Gambetti, Luca, 2010. "Fiscal Foresight and the Effects of Goverment Spending," CEPR Discussion Papers 7840, C.E.P.R. Discussion Papers.
  11. Bai, Jushan & Ng, Serena, 2007. "Determining the Number of Primitive Shocks in Factor Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 52-60, January.
  12. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
  13. Matteo Fragetta & Giovanni Melina, 2011. "The Effects Of Fiscal Policy Shocks In Svar Models: A Graphical Modelling Approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 58(4), pages 537-566, 09.
  14. James D. Hamilton, 1985. "Historical Causes of Postwar Oil Shocks and Recessions," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 97-116.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:isc:iscwp2:bruwp1202. 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: (Henrique Monteiro)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.