IDEAS home Printed from https://ideas.repec.org/p/ags/eaa123/122545.html
   My bibliography  Save this paper

Testing for linear and threshold cointegration under the spatial equilibrium condition

Author

Listed:
  • Araujo-Enciso, Sergio Rene

Abstract

Economic theory states that the spatial equilibrium condition is a region where prices can be or not cointegrated. It is when prices are within such a region when they are no cointegrated, when prices are in its boundaries they are not only cointegrated but also fulfilling the Law of One Price (LOP). Nonetheless the econometric techniques assume a mean reverting process in order to test for cointegration, either linear or non linear. This research shows that in the absence of such mean reverting process by using prices in pure equilibrium, cointegration (linear and non linear) is often rejected. Such findings go in line with the Band Threshold Autoregressive Model where the neutral band is a region of no cointegration. Furthermore it can be concluded that the economic concept of perfect market integration (LOP) by itself is not sufficient for testing cointegration with some of the current econometric methods.

Suggested Citation

  • Araujo-Enciso, Sergio Rene, 2012. "Testing for linear and threshold cointegration under the spatial equilibrium condition," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122545, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaa123:122545
    DOI: 10.22004/ag.econ.122545
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/122545/files/araujo-enciso_2.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.122545?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. Hansen, Bruce E. & Seo, Byeongseon, 2002. "Testing for two-regime threshold cointegration in vector error-correction models," Journal of Econometrics, Elsevier, vol. 110(2), pages 293-318, October.
    2. Lo, Ming Chien & Zivot, Eric, 2001. "Threshold Cointegration And Nonlinear Adjustment To The Law Of One Price," Macroeconomic Dynamics, Cambridge University Press, vol. 5(4), pages 533-576, September.
    3. Sokbae Lee & Myung Hwan Seo & Youngki Shin, 2017. "Correction," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 883-883, April.
    4. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
    5. McNew, Kevin & Fackler, Paul L., 1997. "Testing Market Equilibrium: Is Cointegration Informative?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 22(2), pages 1-17, December.
    6. Johansen, Soren, 2000. "Modelling of cointegration in the vector autoregressive model," Economic Modelling, Elsevier, vol. 17(3), pages 359-373, August.
    7. T. Takayama & G. G. Judge, 1964. "Spatial Equilibrium and Quadratic Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 46(1), pages 67-93.
    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. Sahito, Jam Ghulam Murtaza, 2015. "Market integration of wheat in Pakistan," Discussion Papers 72, Justus Liebig University Giessen, Center for international Development and Environmental Research (ZEU).
    2. Araujo-Enciso, Sergio Rene, 2011. "The Takayama and Judge Price and Allocation Model and its Application in Non-linear Techniques for Spatial Market Integration," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114225, European Association of Agricultural Economists.
    3. Mohcine Bakhat & Klaas WŸrzburg, 2013. "Co-integration of Oil and Commodity Prices: A Comprehensive ApproachAbstract," Working Papers fa05-2013, Economics for Energy.
    4. Sokbae Lee & Myung Hwan Seo & Youngki Shin, 2017. "Correction," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 883-883, April.
    5. Nolte, Stephan & Natanelov, Valeri & Buysse, Jeroen & van Huylenbroeck, Guido, 2012. "Price Transmission in the German Sugar Market," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124351, Australian Agricultural and Resource Economics Society.
    6. Jing Li & Junsoo Lee, 2010. "ADL tests for threshold cointegration," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(4), pages 241-254, July.
    7. Natanelov, Valeri & Alam, Mohammad J. & McKenzie, Andrew M. & Van Huylenbroeck, Guido, 2011. "Is there co-movement of agricultural commodities futures prices and crude oil?," Energy Policy, Elsevier, vol. 39(9), pages 4971-4984, September.
    8. Jinggang Guo & Craig M.T. Johnston, 2020. "Do Protectionist Trade Policies Integrate Domestic Markets? Evidence from the Canada-U.S. Softwood Lumber Dispute," Staff Working Papers 20-10, Bank of Canada.
    9. Ainollahi, Moharram & Ghahremanzadeh, Mohammad, 2015. "An Application of the Two-Regime Threshold Vector Error Correction Model to Analyze Asymmetric Price Transmission of Milk in Zanjan Province of Iran," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 5(3), September.
    10. Kanjilal, Kakali & Ghosh, Sajal, 2017. "Dynamics of crude oil and gold price post 2008 global financial crisis – New evidence from threshold vector error-correction model," Resources Policy, Elsevier, vol. 52(C), pages 358-365.
    11. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    12. Deokwoo Nam, 2011. "The Roles of Nominal Exchange Rate and Relative Price Adjustments in PPP Reversion," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(4), pages 775-785, June.
    13. Miroslav Mateev & Elena Marinova, 2019. "Relation between Credit Default Swap Spreads and Stock Prices: A Non-linear Perspective," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(1), pages 1-26, January.
    14. De Gooijer, Jan G. & Vidiella-i-Anguera, Antoni, 2004. "Forecasting threshold cointegrated systems," International Journal of Forecasting, Elsevier, vol. 20(2), pages 237-253.
    15. Zhepeng Hu & B. Wade Brorsen, 2017. "Spatial Price Transmission and Efficiency in the Urea Market," Agribusiness, John Wiley & Sons, Ltd., vol. 33(1), pages 98-115, January.
    16. Daiki Maki, 2013. "Detecting cointegration relationships under nonlinear models: Monte Carlo analysis and some applications," Empirical Economics, Springer, vol. 45(1), pages 605-625, August.
    17. Daiki Maki & Shin-ichi Kitasaka, 2015. "Residual-based tests for cointegration with three-regime TAR adjustment," Empirical Economics, Springer, vol. 48(3), pages 1013-1054, May.
    18. Eraslan, Sercan, 2017. "Asymmetric arbitrage trading on offshore and onshore renminbi markets," Discussion Papers 13/2017, Deutsche Bundesbank.
    19. Nelissa Jamora & Stephan Cramon-Taubadel, 2016. "Transaction Cost Thresholds in International Rice Markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 292-307, June.
    20. Sercan Eraslan, 2019. "Asymmetric arbitrage trading on offshore and onshore renminbi markets," Empirical Economics, Springer, vol. 57(5), pages 1653-1675, November.

    More about this item

    Keywords

    Demand and Price Analysis; Risk and Uncertainty;

    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:eaa123:122545. 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.