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适应性食品价格预测在经济快速变化的时代改善了公众信息
Matthew J MacLachlan1,2, Michael K Adjemian3, Xiaoli Etienne4
1Department of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY, USA. mjm756@cornell.edu.
Nature communications
|July 8, 2025
概括
由于全球事件,美国食品通货膨胀率在2022年创下历史新高. 美国农业部 (USDA) 通过将核心价格和货币供应等宏观经济因素纳入其中,提高了其食品价格预测.
科学领域:
- 农业经济学 农业经济学
- 计量经济学 计量经济学
- 粮食政策 粮食政策
背景情况:
- 2010-2012年全球粮食价格危机之后的时期,美国零售食品价格稳定.
- COVID-19大流行,禽流感和俄罗斯-乌克兰战争扰乱了粮食供应链,导致了显著的通货膨胀.
- 2022年,家庭食品通货膨胀率达到11.4%,是自1974年以来的最高水平.
研究的目的:
- 描述适应性食品通货膨胀预测所提供的公共利益.
- 通过结合外源变量来增强美国农业部的食品价格预测.
- 提高食品价格预测的准确性和解释能力.
主要方法:
- 利用统计学习协议来选择合适的时间序列模型.
- 使用预测间隔来量化预测的不确定性.
- 在预测模型中纳入外部变量,包括所有项目减去食品和能源 (核心) 指数,货币供应和工资.
主要成果:
- 这项研究增强了美国农业部现有的食品价格预测.
- 整合外源变量提高了预测精度和解释能力.
- 强调了核心指数,货币供应和工资在预测食品价格方面的重要性.
结论:
- 食品价格对宏观经济力量和政府政策都很敏感.
- 结合相关外部变量的自适应预测模型提供了有价值的公共产品.
- 这些发现强调了食品市场与更广泛的经济条件的相互联系.
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