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首页> 外文期刊>Applied Economics >Assessing the role of futures position substitutability in a monthly slaughtered pork factor demand by US processors: a cointegrated VAR model approach
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Assessing the role of futures position substitutability in a monthly slaughtered pork factor demand by US processors: a cointegrated VAR model approach

机译:评估期货头寸可替代性在美国加工者每月屠宰猪肉因素需求中的作用:协整VAR模型方法

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This article combines cointegrated VAR modelling with basic neoclassical production microeconomics in a new way that tests for, and illuminates the empirical nature of, the monthly US pork processing sector's factor demand for slaughtered pork. Statistical evidence strongly suggests that the US pork processing sector has a Hicksian Cobb-Douglas slaughtered pork demand that arises from applying Shephard's lemma to the sector's cost function and that US pork processors treat slaughtered pork and related futures positions as close factor substitutes. In the wake of major and ongoing futures market events and trends, this study establishes and statistically tests a theoretical link between futures price movements and impacts on the underlying slaughtered pork market through monthly formation of US pork processors' factor demand for slaughtered pork. Evidence suggests that demand agents shift between demands for the two substitutes based on movements in the slaughter/futures price ratio that results in a market-stabilizing cushion against sharp pork price movements such as those observed in the late-1990s. Statistical and diagnostic evidence suggests that our modelled non-experimental data and estimated Hicksian demand that arose from the cointegrated VAR model's cointegration space met Haavelmo's setting of passive variables and associated ceteris paribus conditions.
机译:本文以一种新的方式将协整VAR模型与基本的新古典主义生产微观经济学相结合,以测试并阐明美国猪肉加工业每月对屠宰猪肉的要素需求的经验性质。统计证据强烈表明,美国猪肉加工部门对希克斯·科布-道格拉斯的屠宰猪肉需求源于将谢泼德引理应用于该部门的成本函数,并且美国猪肉加工商将屠宰猪肉及相关的期货头寸视为封闭因素替代品。在出现主要和持续的期货市场事件和趋势之后,本研究通过每月形成美国猪肉加工厂对屠宰猪肉的要素需求,建立并统计检验了期货价格变动与对潜在屠宰猪肉市场的影响之间的理论联系。有证据表明,根据屠宰/期货价格比率的变动,需求代理人在两种替代品的需求之间转移,这导致了市场稳定的缓冲,以抵制猪肉价格的剧烈波动,例如1990年代后期的观察。统计和诊断证据表明,从协整VAR模型的协整空间中产生的我们建模的非实验数据和估计的希克斯式需求满足了Haavelmo设置的被动变量和相关的鸡腿稀疏条件。

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