Similarities in the US Department of Agriculture international baseline projections

Rabail Chandio, Ani L. Katchova
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Abstract

The US Department of Agriculture (USDA) international baseline projections are crucial for US agricultural policy. Using a dynamic time warping algorithm, we examine whether corn, soybean, and wheat baselines exhibit a lack of significant distance indicating similarity in projections across countries. We then examine whether projections for countries with more similarity with the United States projections exhibit higher projection errors. We discover evidence of projections being similar to the United States, which is associated with lower errors for corn yield, harvested area, and exports and wheat import projections, but not for other variables. These findings offer valuable insights for USDA and stakeholders.

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美国农业部国际基线预测的相似性
美国农业部(USDA)的国际基线预测对美国农业政策至关重要。利用动态时间扭曲算法,我们研究了玉米、大豆和小麦基线是否缺乏表明各国预测相似性的显著距离。然后,我们研究了与美国预测相似度更高的国家的预测是否表现出更高的预测误差。我们发现了与美国预测相似的证据,这与玉米产量、收获面积、出口和小麦进口预测误差较低有关,但与其他变量无关。这些发现为美国农业部和利益相关者提供了有价值的见解。
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