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Further Evidence of Price Transmission and Asymmetric Adjustment in the U.S. Beef and Pork Sectors

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  • Boetel, Brenda L.
  • Liu, Donald J.
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    Abstract

    This paper expands the contributions of Goodwin and Holt (AJAE, 1999) and Goodwin and Harper (J. of Ag. and Appl. Econ., 2000), GHH henceforth, who analyze retail-wholesale-farm price transmissions in the U.S. beef and pork industries using weekly data. First, in light of advancements in unit root tests, we re-examine in a more comprehensive manner GHH’s conclusion that the weekly U.S. cattle/beef and hog/pork price series are nonstationary. The conventional augmented Dickey-Fuller test that GHH adopt has low power in discriminating against the unit root null because it does not entertain the possibility of a structure break in the deterministic trend function. Second, we examine more closely the estimation procedure surrounding the long run price linkage equation, ensuring the unbiasedness in the estimated long run price transmission coefficient. Moreover, we ascertain whether there have been structural changes in the long run price linkage equation using a new approach, which endogenously estimates the break date. Third, we employ two data sets with different frequencies, weekly data and monthly data, to gain insight into the reasons underlying price asymmetry found in GHH.

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    Bibliographic Info

    Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida with number 6169.

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    Date of creation: 2008
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    Handle: RePEc:ags:aaea08:6169

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    Keywords: Livestock Production/Industries; Research Methods/ Statistical Methods;

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    1. Nathan S. Balke & Thomas B. Fomby, 1992. "Threshold cointegration," Research Paper 9209, Federal Reserve Bank of Dallas.
      • Balke, Nathan S & Fomby, Thomas B, 1997. "Threshold Cointegration," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 38(3), pages 627-45, August.
    2. Liu, Ming-Hua & Margaritis, Dimitri & Tourani-Rad, Alireza, 2008. "Monetary policy transparency and pass-through of retail interest rates," Journal of Banking & Finance, Elsevier, vol. 32(4), pages 501-511, April.
    3. Perron, Pierre, 1997. "Further evidence on breaking trend functions in macroeconomic variables," Journal of Econometrics, Elsevier, vol. 80(2), pages 355-385, October.
    4. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    5. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    6. Banerjee, Anindya & Dolado, Juan J. & Galbraith, John W. & Hendry, David, 1993. "Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data," OUP Catalogue, Oxford University Press, number 9780198288107, October.
    7. Goodwin, Barry K. & Harper, Daniel C., 2000. "Price Transmission, Threshold Behavior, And Asymmetric Adjustment In The U.S. Pork Sector," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(03), December.
    8. Hendry, David F. & Pagan, Adrian R. & Sargan, J.Denis, 1984. "Dynamic specification," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 18, pages 1023-1100 Elsevier.
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