Explaining the German hog price cycle: A nonlinear dynamics approach

dc.creatorBerg, Ernst
dc.creatorHuffaker, Ray
dc.date2017-04-01T15:02:19Z
dc.date.accessioned2026-07-09T09:21:30Z
dc.descriptionWe investigated German hog-price dynamics with an innovative ‘diagnostic’ modeling approach. Hog-price cycles are conventionally modeled stochastically—most recently as randomly-shifting sinusoidal oscillations. Alternatively, we applied nonlinear time series analysis to empirically reconstruct a deterministic, low-dimensional, and nonlinear attractor from observed hog prices. We next formulated a structural (explanatory) model of the pork industry to synthesize the empirical hog-price attractor. Model simulations demonstrate that low price-elasticity of demand contributes to aperiodic price cycling – a well know result – and further reveal two other important driving factors: investment irreversibility (caused by high specificity of technology), and liquidity-driven investment behavior of German farmers.
dc.identifierOther:ISSN 2194-511X
dc.identifierdoi:10.22004/ag.econ.206210
dc.identifierhttps://ageconsearch.umn.edu/record/206210/files/03-Berg_Huffaker-paper.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/206210
dc.identifier.urihttp://hdl.handle.net/123456789/608186
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/206210
dc.titleExplaining the German hog price cycle: A nonlinear dynamics approach
dc.typeText

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