基于模型支出权重的实验性英国地区消费者价格通胀

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-2022-0010
J. Dawber, Nora Würz, Paul A. Smith, Tanya Flower, Heledd Thomas, T. Schmid, N. Tzavidis
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引用次数: 1

摘要

摘要与许多其他国家一样,英国制定了一个全国消费者价格指数来衡量通货膨胀。目前,还没有针对英国各地区制定CPI指标。人们认为,仅使用可用的数据来源,地区CPI作为官方统计数据不够精确或可靠,主要是因为数据的地区划分使样本量太小。我们通过使用公开的价格数据制作实验性区域CPI,并从生活成本和食品调查中得出支出权重,来调查这一说法。我们详细介绍了制定区域CPI的方法和挑战,并评估了其可靠性。然后,我们评估基于模型的方法(如平滑和小面积估计)是否显著改进了测量。我们发现,区域CPI可以通过可用的数据来源产生,但随着时间的推移,它似乎过于波动,主要是由于权重。平滑和小面积估计在一定程度上提高了区域CPI序列的可靠性,但对于区域政策的使用来说,它们仍然太不稳定。这项研究为英国未来制定更可行的地区CPI指标提供了一个有价值的框架。
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Experimental UK Regional Consumer Price Inflation with Model-Based Expenditure Weights
Abstract Like many other countries, the United Kingdom (UK) produces a national consumer price index (CPI) to measure inflation. Presently, CPI measures are not produced for regions within the UK. It is believed that, using only available data sources, a regional CPI would not be precise or reliable enough as an official statistic, primarily because the regional partitioning of the data makes sample sizes too small. We investigate this claim by producing experimental regional CPIs using publicly available price data, and deriving expenditure weights from the Living Costs and Food survey. We detail the methods and challenges of developing a regional CPI and evaluate its reliability. We then assess whether model-based methods such as smoothing and small area estimation significantly improve the measures. We find that a regional CPI can be produced with available data sources, however it appears to be excessively volatile over time, mainly due to the weights. Smoothing and small area estimation improve the reliability of the regional CPI series to some extent but they remain too volatile for regional policy use. This research provides a valuable framework for the development of a more viable regional CPI measure for the UK in the future.
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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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