The Geometric Young Formula for Elementary Aggregate Producer Price Indexes

IF 0.5 4区 数学 Q4 SOCIAL SCIENCES, MATHEMATICAL METHODS Journal of Official Statistics Pub Date : 2022-03-01 DOI:10.2478/jos-2022-0011
Robert S. Martin, A. Sadler, Sara Stanley, W. Thompson, Jonathan C. Weinhagen
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Abstract

Abstract We re-estimate historical U.S. Producer Price Indexes (PPI) using the geometric Young formula at the elementary level. The geometric Young has better axiomatic properties than the modified Laspeyres, and may better approximate a feasible economic target. We find in most cases, indexes that use the geometric Young escalate between 0.1 and 0.3 percentage points less each year than those that use the modified Laspeyres. However, for wholesale and retail trade, as well as some other services, the differences are much larger. As a result, using the geometric Young at the elementary level lowers the U.S. PPI for Final Demand by 0.55 percentage points per year during the study period, a magnitude larger than what has been previously found for the U.S. Consumer Price Index.
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初级骨料生产者价格指数的几何Young公式
摘要我们在初等水平上使用几何杨公式重新估计了历史上的美国生产者价格指数。几何Young比修正的Laspeyres具有更好的公理性质,并且可能更好地近似可行的经济目标。我们发现,在大多数情况下,使用几何Young的指数每年比使用改良Laspeyres的指数少0.1到0.3个百分点。然而,对于批发和零售贸易以及其他一些服务业来说,差异要大得多。因此,在研究期间,在小学阶段使用几何Young将美国最终需求的PPI每年降低0.55个百分点,这一幅度大于之前对美国消费者价格指数的发现。
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来源期刊
Journal of Official Statistics
Journal of Official Statistics STATISTICS & PROBABILITY-
CiteScore
1.90
自引率
9.10%
发文量
39
审稿时长
>12 weeks
期刊介绍: JOS is an international quarterly published by Statistics Sweden. We publish research articles in the area of survey and statistical methodology and policy matters facing national statistical offices and other producers of statistics. The intended readers are researchers or practicians at statistical agencies or in universities and private organizations dealing with problems which concern aspects of production of official statistics.
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