Gervais, Jean-Philippe (2007): Disentangling non-linearities in the long- and short-run price relationships: An application to the U.S. hog/Pork supply chain.
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Abstract
Increased concentration at the retail, food processing and farm input manufacturing levels has brought increased attention to patterns in retail-to-farm price spreads. Most studies documenting asymmetric price transmission focus on non-linear error correction processes, as opposed to the current study which analyzes potential non-linearities in the long-run relationship between the farm and retail prices. The null hypothesis of non-linearity in the long-run relationship between farm and retail prices in the U.S. hog/pork supply chain is rejected in favor of a Smooth Transition Cointegration (STC) framework. The STC framework predicts downward price stickiness in retail prices. The predicted residuals of the non-linear model are used to investigate whether it is possible to disentangle non-linearity in the long-run price relationship from non-linearity in the adjustment towards the long-run equilibrium. The results underline the importance of testing for linearity in the long-run price relationship before modeling non-linearity in short-run dynamics.
Item Type: | MPRA Paper |
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Original Title: | Disentangling non-linearities in the long- and short-run price relationships: An application to the U.S. hog/Pork supply chain |
Language: | English |
Keywords: | Smooth transition cointegration; farm to retail price transmission; linear cointegration |
Subjects: | Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture > Q11 - Aggregate Supply and Demand Analysis ; Prices C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes |
Item ID: | 7743 |
Depositing User: | Jean-Philippe Gervais |
Date Deposited: | 13 Mar 2008 18:56 |
Last Modified: | 27 Sep 2019 14:46 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/7743 |