IDEAS home Printed from https://ideas.repec.org/p/ags/eaae11/114679.html

Asymmetric Price Transmission in Food Supply Chains: Impulse Response Analysis by Local Projections

Author

Listed:
  • Kuiper, Erno
  • Bunte, Frank H.J.

Abstract

In this paper we set out Jorda’s (2005) method of local projections by which nonlinear impulse responses can be computed without the need to specify and estimate the underlying nonlinear dynamic system. The method is used to compute price reaction functions that show how the prices of the different stages in the supply chain dynamically respond to one another and whether or not these responses reveal any asymmetric patterns. Empirical applications for the US pork-meat and broiler composite chains illustrate the convenience of the method.

Suggested Citation

  • Kuiper, Erno & Bunte, Frank H.J., "undated". "Asymmetric Price Transmission in Food Supply Chains: Impulse Response Analysis by Local Projections," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114679, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae11:114679
    DOI: 10.22004/ag.econ.114679
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/114679/files/Kuiper_W.%20Erno_594.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.114679?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Whitney Newey & Kenneth West, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    2. 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.
    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. Bonciani, Dario, 2015. "Estimating the effects of uncertainty over the business cycle," MPRA Paper 65921, University Library of Munich, Germany.
    2. Kerstin Bernoth, 2025. "Dovish Coos or Hawkish Screech? From Central Bank Talk to Economic Walk," Discussion Papers of DIW Berlin 2137, DIW Berlin, German Institute for Economic Research.
    3. Pascal Goemans, 2022. "Historical evidence for larger government spending multipliers in uncertain times than in slumps," Economic Inquiry, Western Economic Association International, vol. 60(3), pages 1164-1185, July.
    4. Francesco Casalena, 2024. "Back to normal? Assessing the Effects of the Federal Reserve's Quantitative Tightening," IHEID Working Papers 14-2024, Economics Section, The Graduate Institute of International Studies.
    5. Lodge, David & Manu, Ana-Simona, 2022. "EME financial conditions: Which global shocks matter?," Journal of International Money and Finance, Elsevier, vol. 120(C).
    6. Markus Sihvonen, 2024. "Yield curve momentum," Review of Finance, European Finance Association, vol. 28(3), pages 805-830.
    7. Sandra Eickmeier & Benedikt Kolb & Esteban Prieto, 2018. "Effects of Bank Capital Requirement Tightenings on Inequality," CAMA Working Papers 2018-43, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    8. Frederik Neugebauer, 2020. "ECB Announcements and Stock Market Volatility," WHU Working Paper Series - Economics Group 20-02, WHU - Otto Beisheim School of Management.
    9. Oscar Jorda & Sharon Kozicki, 2007. "Estimation and Inference by the Method of Projection Minimum Distance," Working Papers 148, University of California, Davis, Department of Economics.
    10. Andrea Boitani & Salvatore Perdichizzi, 2018. "Public Expenditure Multipliers in recessions. Evidence from the Eurozone," DISCE - Working Papers del Dipartimento di Economia e Finanza def068, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    11. Sihvonen, Markus, 2021. "Yield curve momentum," Research Discussion Papers 15/2021, Bank of Finland.
    12. Mertens, Elmar, 2012. "Are spectral estimators useful for long-run restrictions in SVARs?," Journal of Economic Dynamics and Control, Elsevier, vol. 36(12), pages 1831-1844.
    13. Carolin Pflueger & Emil Siriwardane & Adi Sunderam, 2018. "A Measure of Risk Appetite for the Macroeconomy," NBER Working Papers 24529, National Bureau of Economic Research, Inc.
    14. Cynthia Doniger, 2019. "Do Greasy Wheels Curb Inequality?," 2019 Meeting Papers 1163, Society for Economic Dynamics.
    15. Christian Bredemeier & Falko Juessen & Andreas Schabert, 2021. "Why Are Fiscal Multipliers Moderate Even Under Monetary Accommodation?," ECONtribute Discussion Papers Series 074, University of Bonn and University of Cologne, Germany.
    16. Michael W. McCracken & Joseph T. McGillicuddy, 2019. "An empirical investigation of direct and iterated multistep conditional forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(2), pages 181-204, March.
    17. Jorge Arenas & Stephany Griffith-Jones, 2023. "Effectiveness of Foreign Exchange Interventions: Evidence and Lessons from Chile," Working Papers Central Bank of Chile 983, Central Bank of Chile.
    18. Stephen Snudden, 2024. "Don’t Ruin the Surprise: Temporal Aggregation Bias in Structural Innovations," LCERPA Working Papers jc0149, Laurier Centre for Economic Research and Policy Analysis, revised Nov 2024.
    19. Michael D. Bauer & Eric T. Swanson, 2023. "A Reassessment of Monetary Policy Surprises and High-Frequency Identification," NBER Macroeconomics Annual, University of Chicago Press, vol. 37(1), pages 87-155.
    20. Cardi, Olivier & Restout, Romain & Claeys, Peter, 2020. "Imperfect mobility of labor across sectors and fiscal transmission," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).

    More about this item

    Keywords

    ;

    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:ags:eaae11:114679. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.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.