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Nonlinear adjustments in deviations from the law of one price for wholesale hog prices

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  • Pei‐Fen Chen
  • Chien‐Chiang Lee

Abstract

This article applies the Band‐Threshold Autoregression (Band‐TAR) model to investigate whether the law of one price (LOOP) holds in Taiwanese wholesale hog markets during the period from May 1987 through December 2003. We find evidence of a nonlinear mean reversion in deviations from the LOOP for relative hog prices. Our empirical study confirms the presence of thresholds and provides strong evidence in support of the view that the regional hog markets have been tightly integrated in Taiwan and that the wholesale hog market in Taiwan is an efficient market economy. Furthermore, the estimated half‐lives from the nonlinear generalized impulse response analysis are as short as four months.

Suggested Citation

  • Pei‐Fen Chen & Chien‐Chiang Lee, 2008. "Nonlinear adjustments in deviations from the law of one price for wholesale hog prices," Agricultural Economics, International Association of Agricultural Economists, vol. 39(1), pages 123-134, July.
    • Handle: RePEc:bla:agecon:v:39:y:2008:i:1:p:123-134
    DOI: 10.1111/j.1574-0862.2008.00320.x
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    References listed on IDEAS

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    1. Ben Kaabia, Monia & Gil, Jose Maria & Boshnjaku, L., 2002. "Price Transmission Asymmetries in the Spanish Lamb Sector," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24908, European Association of Agricultural Economists.
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    Cited by:

    1. Franken, Jason R.V. & Parcell, Joseph L. & Tonsor, Glynn T., 2011. "Impact of Mandatory Price Reporting on Hog Market Integration," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(2), pages 1-13, May.
    2. Machado Junior, Pedro Celso & Chung, Chanjin, 2018. "Spatial Price Transmission, Transaction Costs, and Econometric Modelling: How Inference Can Be Improved When Transaction Costs Are Observed?," 2018 Annual Meeting, August 5-7, Washington, D.C. 274841, Agricultural and Applied Economics Association.
    3. David Ubilava, 2012. "Modeling Nonlinearities in the U.S. Soybean‐to‐Corn Price Ratio: A Smooth Transition Autoregression Approach," Agribusiness, John Wiley & Sons, Ltd., vol. 28(1), pages 29-41, January.
    4. David Ubilava, 2012. "El Niño, La Niña, and world coffee price dynamics," Agricultural Economics, International Association of Agricultural Economists, vol. 43(1), pages 17-26, January.
    5. Mofya-Mukuka, Rhoda & Abdulai, Awudu, 2013. "Effects of Policy Reforms on Price Transmission in Coffee Markets: Evidence from Zambia and Tanzania," Food Security Collaborative Working Papers 171870, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    6. Machado Junior, Pedro Celso & Chung, Chanjin, 2018. "Spatial Price Transmission, Transaction Costs, and Econometric Modelling: How Inference Can Be Improved When Transaction Costs Are Observed?," 2018 Annual Meeting, August 5-7, Washington, D.C. 273993, Agricultural and Applied Economics Association.
    7. Kurmas Akdogan, 2018. "Mean-reversion and structural change in European food prices," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 18(4), pages 163-173.
    8. Kai-yin Woo & Shu-kam Lee & Paul Kwok Shum, 2021. "Evidence on PPP with China along the belt and road using the three-regime TAR cointegration tests," Empirical Economics, Springer, vol. 60(5), pages 2391-2405, May.

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