IDEAS home Printed from https://ideas.repec.org/p/ags/aaea11/103715.html
   My bibliography  Save this paper

Copula-Based Nonlinear Models of Spatial Market Linkages

Author

Listed:
  • Goodwin, Barry K.
  • Holt, Matthew T.
  • Onel, Gulcan
  • Prestemon, Jeffrey P.

Abstract

An extensive empirical literature has addressed a wide array of issues pertaining to price linkages over space and across time. Empirical models of price linkages have been used to measure market power and to characterize the operation of markets that are separated by space, time, and product form. The long history of these empirical models extends from simple tests of price correlation, to conventional regression tests, to modern time series models that account for nonstationarity, nonlinearities, and threshold behavior in market linkages. This paper proposes an entirely different and potentially novel approach to analyzing these same types of time series data in a nonlinear fashion. Copula-based models that consider the joint distribution of prices separated by space are developed and applied to weekly prices for important lumber products at geographically distinct markets. In particular, we consider prices taken from weekly editions of the Random Lengths publication for homogeneous OSB products.

Suggested Citation

  • Goodwin, Barry K. & Holt, Matthew T. & Onel, Gulcan & Prestemon, Jeffrey P., 2011. "Copula-Based Nonlinear Models of Spatial Market Linkages," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103715, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea11:103715
    DOI: 10.22004/ag.econ.103715
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/103715/files/AAEA_2011_Paper_13600_finalversion.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.103715?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ahmed, Mansur & Goodwin, Barry, 2015. "Copula-Based Modeling of Dependence Structure among International Food Grain Markets," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206059, Agricultural and Applied Economics Association.
    2. Johnson, Carrie Lu, 2014. "Analysis of Commodity Market Integration In the Uganda Maize Market," Master's Theses and Plan B Papers 196707, University of Minnesota, Department of Applied Economics.
    3. Von Cramon-Taubadel, Stephan, 2017. "The analysis of market integration and price transmission – results and implications in an African context," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 56(2), March.
    4. Ahmed, Osama, 2018. "Vertical price transmission in the Egyptian tomato sector after the Arab Spring," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 50(47), pages 5094-5109.
    5. Ahmed, Osama & Serra, Teresa, 2015. "Vertical Price Transmission in the Egyptian Tomato Sector After the Arab Spring," 2015 Conference, August 9-14, 2015, Milan, Italy 212523, International Association of Agricultural Economists.
    6. Ahmed, Osama, 2021. "Assessing the current situation of the world wheat market leadership: Using the semi-parametric approach," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(2).
    7. Skadberg, Kristopher & Wilson, William W. & Larsen, Ryan & Dahl, Bruce, 2015. "Spatial Competition, Arbitrage, and Risk in U.S. Soybeans," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 40(3), pages 1-15, September.
    8. Nasreldin, Osama Ahmed & Devesa, Teresa Serra, 2014. "Price volatility of food staples. The case of millet in Niger," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182728, European Association of Agricultural Economists.
    9. Ahmed, Osama & Serra, Teresa, 2015. "Evaluate the economic consequences of revenue insurance programs in Spain using copula models. The case of orange and apple," 2015 Conference, August 9-14, 2015, Milan, Italy 212522, International Association of Agricultural Economists.

    More about this item

    Keywords

    Research Methods/ Statistical Methods;

    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:aaea11:103715. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/aaeaaea.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.