警告:一些交易价格可能对您的房价指数有害

IF 1.9 3区 经济学 Q2 ECONOMICS
Robert J. Hill, Norbert Pfeifer, Miriam Steurer, Radoslaw Trojanek
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引用次数: 0

摘要

在欧盟统计局和国际货币基金组织等国际统计组织中,有一个广泛的共识,即应该使用交易数据来构建房价指数(hpi)。我们在这里展示了新建物业的交易数据如何破坏享乐hpi的及时性,当新建物业在规划或建设阶段预售,但只有在项目完成后才进入契约书。因此,新建住宅的hpi将包括过时的交易价格。我们对波兰的两个城市(华沙和波兹南)进行了调查,发现现有房产的hpi指数领先新建房产指数长达2年。这种滞后会极大地扭曲国家hpi。这种滞后也对欧洲衡量通胀的旗舰指标——消费者价格协调指数(HICP)产生了影响,因为它计划使用专门针对新建房屋的交易HPI将业主自住住房纳入HICP。我们表明,当在HPI的编译中使用新构建的初步协议而不是事务时,时效性问题就消失了。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Warning: Some transaction prices can be detrimental to your house price index
There is a broad consensus in international statistical organizations such as Eurostat and the International Monetary Fund that house price indices (HPIs) should be constructed using transaction data. We show here how transaction data for new-built properties can undermine the timeliness of hedonic HPIs when new-built properties are pre-sold during the planning or building stage, but entered into deed books only once the projects are completed. As a consequence, HPIs for new-builds will include stale transaction prices. We investigate this issue for two Polish cities (Warsaw and Poznan) and find that HPIs for existing properties lead indices for new-builds by up to 2 years. This lag can dramatically distort National HPIs. The lag also has implications for the flagship measure of inflation in Europe—the Harmonized Index of Consumer Prices (HICP)—since it is planned to include owner-occupied housing in the HICP using a transactions HPI specifically for new-builds. We show that the timeliness issue disappears when preliminary agreements on new-builds are used instead of transactions in the compilation of an HPI.
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来源期刊
CiteScore
4.00
自引率
10.00%
发文量
62
期刊介绍: The major objective of the Review of Income and Wealth is to advance knowledge on the definition, measurement and interpretation of national income, wealth and distribution. Among the issues covered are: - national and social accounting - microdata analyses of issues related to income and wealth and its distribution - the integration of micro and macro systems of economic, financial, and social statistics - international and intertemporal comparisons of income, wealth, inequality, poverty, well-being, and productivity - related problems of measurement and methodology
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