IDEAS home Printed from https://ideas.repec.org/p/zbw/sfb373/199929.html

Comparison of bootstrap confidence intervals for impulse responses of German monetary systems

Author

Listed:
  • Benkwitz, Alexander
  • Lütkepohl, Helmut
  • Wolters, Jürgen

Abstract

It is argued that standard impulse response analysis based on vector autoregressive models has a number of shortcomings. Although the impulse responses are estimated quantities, measures for sampling variability such as confidence intervals are often not provided. If confidence intervals are given they are often based on bootstrap methods with poor theoretical properties. These problems are illustrated using two German monetary systems. Proposals are made for improving current practice. Special emphasis is placed on systems with cointegrated variables.

Suggested Citation

  • Benkwitz, Alexander & Lütkepohl, Helmut & Wolters, Jürgen, 1999. "Comparison of bootstrap confidence intervals for impulse responses of German monetary systems," SFB 373 Discussion Papers 1999,29, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    • Handle: RePEc:zbw:sfb373:199929
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/61726/1/722253486.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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 116-125, February.
    2. JØrgen Wolters & Helmut LØtkepohl, 1998. "A money demand system for German M3," Empirical Economics, Springer, vol. 23(3), pages 371-386.
    3. 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.
    4. Brüggemann, I. & Wolters, J., 1996. "Money and Prices in Germany. Empirical Results for 1962 to 1994," SFB 373 Discussion Papers 1996,34, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    5. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    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. Jonathan H. Wright, 2000. "Exact confidence intervals for impulse responses in a Gaussian vector autoregression," International Finance Discussion Papers 682, Board of Governors of the Federal Reserve System (U.S.).
    2. Benkwitz, Alexander & Lütkepohl, Helmut & Neumann, Michael H., 1997. "Problems related to bootstrapping impulse responses of autoregressive processes," SFB 373 Discussion Papers 1997,85, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    3. Sergio Ocampo & Norberto Rodr�guez, 2011. "An Introductory Review of a Structural VAR-X Estimation and Applications," Borradores de Economia 9200, Banco de la Republica.
    4. Helmut Lütkepohl, 2013. "Reducing confidence bands for simulated impulse responses," Statistical Papers, Springer, vol. 54(4), pages 1131-1145, November.
    5. Dufour, Jean-Marie & Pelletier, Denis & Renault, Eric, 2006. "Short run and long run causality in time series: inference," Journal of Econometrics, Elsevier, vol. 132(2), pages 337-362, June.
    6. Catherine Bruneau & Olivier De Bandt, 1999. "La modélisation Var "structurel" : application à la politique monétaire en France," Économie et Prévision, Programme National Persée, vol. 137(1), pages 67-94.
    7. Helmut Lütkepohl, 2013. "Vector autoregressive models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 6, pages 139-164, Edward Elgar Publishing.
    8. Jon Faust & John H. Rogers & Eric Swanson & Jonathan H. Wright, 2003. "Identifying the Effects of Monetary Policy Shocks on Exchange Rates Using High Frequency Data," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1031-1057, September.
    9. Jaime Casassus & Freddy Higuera, 2011. "Stock Return Predictability and Oil Prices," Documentos de Trabajo 406, Instituto de Economia. Pontificia Universidad Católica de Chile..
    10. Cysne, Rubens Penha, 2005. "What happens after the central bank of Brazil increases the target interbank rate by 1%?," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 584, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    11. Hummaira Jabeen, 2023. "US-Financial Conditions and Macro-economy of Emerging Markets," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 9(1), pages 51-63, March.
    12. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    13. Ann Cavlovic & Kathleen Day, "undated". "Equalization and the Incentives for Growth: An Empirical Investigation of the "Tax-Back" Effect," Working Papers-Department of Finance Canada 2003-23, Department of Finance Canada.
    14. Climent, Francisco & Meneu, Vicente, 2003. "Has 1997 Asian crisis increased information flows between international markets," International Review of Economics & Finance, Elsevier, vol. 12(1), pages 111-143.
    15. María Dolores Gadea & Ana Gómez-Loscos & Antonio Montañés, 2016. "Oil Price and Economic Growth: A Long Story?," Econometrics, MDPI, vol. 4(4), pages 1-28, October.
    16. Kemal Bagzibagli, 2014. "Monetary transmission mechanism and time variation in the Euro area," Empirical Economics, Springer, vol. 47(3), pages 781-823, November.
    17. Brüggemann, Ralf & Jentsch, Carsten & Trenkler, Carsten, 2016. "Inference in VARs with conditional heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 191(1), pages 69-85.
    18. Ronayne, David, "undated". "Which Impulse Response Function?," Economic Research Papers 270753, University of Warwick - Department of Economics.
    19. Yohei Yamamoto & Naoko Hara, 2022. "Identifying factor‐augmented vector autoregression models via changes in shock variances," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 722-745, June.
    20. Inoue, Atsushi & Kilian, Lutz, 2020. "The uniform validity of impulse response inference in autoregressions," Journal of Econometrics, Elsevier, vol. 215(2), pages 450-472.

    More about this item

    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

    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:zbw:sfb373:199929. See general information about how to correct material in RePEc.

    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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/sfhubde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.