IDEAS home Printed from
MyIDEAS: Login to save this paper or follow this series

Which Impulse Response Function?

  • Ronayne, David

    (University of Warwick)

Registered author(s):

    This paper compares standard and local projection techniques in the production of impulse response functions both theoretically and empirically. Through careful selection of a structural decomposition, the comparison continues to an application of US data to the textbook ISLM model. It is argued that local projection techniques offer a remedy to the bias of the conventional method especially at horizons longer than the vector autoregression‘s lag length. The application highlights that the techniques can have different answers to important questions.

    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:
    Download Restriction: no

    Paper provided by University of Warwick, Department of Economics in its series The Warwick Economics Research Paper Series (TWERPS) with number 971.

    in new window

    Date of creation: 2011
    Date of revision:
    Handle: RePEc:wrk:warwec:971
    Contact details of provider: Postal: CV4 7AL COVENTRY
    Phone: +44 (0) 2476 523202
    Fax: +44 (0) 2476 523032
    Web page:

    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. Mamoudou, Toure & Jamel, Trabelsi & Frédéric, Dufourt, 2009. "Empirical evaluation of nominal convergence in Czech Republic, Poland and Hungary (CPH)," Economic Modelling, Elsevier, vol. 26(5), pages 993-999, September.
    2. Syed Abul Basher & Alfred Haug & Perry Sadorsky, 2010. "Oil Prices, Exchange Rates and Emerging Stock Markets," Working Papers 1014, University of Otago, Department of Economics, revised Sep 2010.
    3. Alfred A Haug & Christie Smith, 2007. "Local linear impulse responses for a small open economy," Reserve Bank of New Zealand Discussion Paper Series DP2007/09, Reserve Bank of New Zealand.
    4. Pagan, Adrian, 1987. " Three Econometric Methodologies: A Critical Appraisal," Journal of Economic Surveys, Wiley Blackwell, vol. 1(1), pages 3-24.
    5. G. Peersman, 2004. "What caused the early millennium slowdown? Evidence based on vector autoregressions," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/235, Ghent University, Faculty of Economics and Business Administration.
    6. Hall, Alastair R. & Inoue, Atsushi & Nason, James M. & Rossi, Barbara, 2012. "Information criteria for impulse response function matching estimation of DSGE models," Journal of Econometrics, Elsevier, vol. 170(2), pages 499-518.
    7. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    8. Ayat, Leila & Burridge, Peter, 2000. "Unit root tests in the presence of uncertainty about the non-stochastic trend," Journal of Econometrics, Elsevier, vol. 95(1), pages 71-96, March.
    9. James H. Stock & Mark W. Watson, 2001. "Vector Autoregressions," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 101-115, Fall.
    10. W. Douglas McMillin, 2001. "The Effects of Monetary Policy Shocks: Comparing Contemporaneous versus Long-Run Identifying Restrictions," Southern Economic Journal, Southern Economic Association, vol. 67(3), pages 618-636, January.
    11. Jon Faust & Eric M. Leeper, 1994. "When do long-run identifying restrictions give reliable results?," International Finance Discussion Papers 462, Board of Governors of the Federal Reserve System (U.S.).
    12. Braun, Phillip A. & Mittnik, Stefan, 1993. "Misspecifications in vector autoregressions and their effects on impulse responses and variance decompositions," Journal of Econometrics, Elsevier, vol. 59(3), pages 319-341, October.
    13. West, Kenneth D, 1990. "The Sources of Fluctuations in Aggregate Inventories and GNP," The Quarterly Journal of Economics, MIT Press, vol. 105(4), pages 939-71, November.
    14. Peersman, Gert & Smets, Frank, 2001. "The monetary transmission mechanism in the euro area: more evidence from VAR analysis," Working Paper Series 0091, European Central Bank.
    15. Canova, Fabio & Pina, Joaquim Pivis, 1999. "Monetary Policy Misspecification in VAR Models," CEPR Discussion Papers 2333, C.E.P.R. Discussion Papers.
    16. Lastrapes, William D. & Selgin, George, 1995. "The liquidity effect: Identifying short-run interest rate dynamics using long-run restrictions," Journal of Macroeconomics, Elsevier, vol. 17(3), pages 387-404.
    17. Mark P. Taylor, 2004. "Estimating structural macroeconomic shocks through long-run recursive restrictions on vector autoregressive models: the problem of identification," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(3), pages 229-244.
    18. G. Peersman & R. Straub, 2005. "Technology Shocks and Robust Sign Restrictions in a Euro Area SVAR," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/288, Ghent University, Faculty of Economics and Business Administration.
    19. ZELLNER, Arnold & PALM, Franz, . "Time series analysis and simultaneous equation econometric models," CORE Discussion Papers RP 173, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    20. 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.
    21. Òscar Jordà, 2005. "Estimation and Inference of Impulse Responses by Local Projections," American Economic Review, American Economic Association, vol. 95(1), pages 161-182, March.
    22. Canova, Fabio & Nicolo, Gianni De, 2002. "Monetary disturbances matter for business fluctuations in the G-7," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1131-1159, September.
    23. Bénédicte Vidaillet & V. D'Estaintot & P. Abécassis, 2005. "Introduction," Post-Print hal-00287137, HAL.
    24. Kilian, Lutz, 2001. "Impulse Response Analysis in Vector Autoregressions with Unknown Lag Order," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(3), pages 161-79, April.
    25. Christopher A. Sims & Tao Zha, 2004. "Were there regime switches in U.S. monetary policy?," FRB Atlanta Working Paper 2004-14, Federal Reserve Bank of Atlanta.
    26. Lutz Kilian, 1998. "Small-Sample Confidence Intervals For Impulse Response Functions," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 218-230, May.
    27. Renee Fry & Adrian Pagan, 2007. "Some Issues in Using Sign Restrictions for Identifying Structural VARs," NCER Working Paper Series 14, National Centre for Econometric Research.
    28. Berg, Tim Oliver, 2010. "Do monetary and technology shocks move euro area stock prices?," MPRA Paper 23973, University Library of Munich, Germany.
    29. Weiss, Andrew A., 1991. "Multi-step estimation and forecasting in dynamic models," Journal of Econometrics, Elsevier, vol. 48(1-2), pages 135-149.
    30. Eichenbaum, Martin & Evans, Charles L, 1995. "Some Empirical Evidence on the Effects of Shocks to Monetary Policy on Exchange Rates," The Quarterly Journal of Economics, MIT Press, vol. 110(4), pages 975-1009, November.
    31. Wallis, Kenneth F, 1977. "Multiple Time Series Analysis and the Final Form of Econometric Models," Econometrica, Econometric Society, vol. 45(6), pages 1481-97, September.
    32. Jonas D. M. Fisher, 2006. "The Dynamic Effects of Neutral and Investment-Specific Technology Shocks," Journal of Political Economy, University of Chicago Press, vol. 114(3), pages 413-451, June.
    33. Neville Francis & Valerie A. Ramey, 2006. "The Source of Historical Economic Fluctuations: An Analysis Using Long-Run Restrictions," NBER Chapters, in: NBER International Seminar on Macroeconomics 2004, pages 17-73 National Bureau of Economic Research, Inc.
    34. Jon Faust, 1998. "The robustness of identified VAR conclusions about money," International Finance Discussion Papers 610, Board of Governors of the Federal Reserve System (U.S.).
    35. Cooley, Thomas F. & Dwyer, Mark, 1998. "Business cycle analysis without much theory A look at structural VARs," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 57-88.
    36. Lutkepohl, Helmut, 1990. "Asymptotic Distributions of Impulse Response Functions and Forecast Error Variance Decompositions of Vector Autoregressive Models," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 116-25, February.
    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:wrk:warwec:971. 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: (Helen Neal)

    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.