用于多时期和多边比较的新价格指数

IF 1.4 4区 数学 Q2 STATISTICS & PROBABILITY
Mario Faliva, Consuelo Rubina Nava, Maria Grazia Zoia
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引用次数: 0

摘要

在随机方法中,本文为任意数量的时期或国家建立了价格指数问题的闭式解决方案。该指数的参考篮子合并了所有时期/国家的所有篮子的交叉点,并提供了有效的商品覆盖范围。在球形回归误差条件下,该指数满足 Geary-Khamis 方程系统,因此为后者以及作为嫁妆的推论框架提供了通用而紧凑的表示方法。此外,通过放宽球形性,转而采用更现实的商品依赖性方差假设,还能获得更广泛的结果。由此获得的价格指数问题解决方案包含了 Geary-Khamis 公式,并为进一步的发展播下了种子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A new price index for multi-period and multilateral comparisons

A new price index for multi-period and multilateral comparisons

Within the stochastic approach, this paper establishes a closed-form solution to the price index problem for an arbitrary number of periods or countries. The index’s reference basket merges the intersections of all couples of baskets in all periods/countries and provides an effective commodity coverage. Under spherical regression errors, the index satisfies the Geary–Khamis equation system and, as such, offers a general and compact representation of the latter as well as the inferential framework as a dowry. Furthermore, by relaxing sphericalness in favor of a more realistic assumption of commodity-dependent variances, a broader result is achieved. The solution to the price index problem thus obtained encompasses the Geary–Khamis formulation and sows the seeds to further advances.

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来源期刊
Asta-Advances in Statistical Analysis
Asta-Advances in Statistical Analysis 数学-统计学与概率论
CiteScore
2.20
自引率
14.30%
发文量
39
审稿时长
>12 weeks
期刊介绍: AStA - Advances in Statistical Analysis, a journal of the German Statistical Society, is published quarterly and presents original contributions on statistical methods and applications and review articles.
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