住宅价格指数的选择偏差:特征重复销售方法*

IF 1.5 3区经济学 Q2 ECONOMICS

Oxford Bulletin of Economics and Statistics Pub Date : 2022-12-07 DOI:10.1111/obes.12534

Daniel Melser

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引用次数: 2

摘要

构建房价指数时广泛使用的重复销售方法只使用销售两次或两次以上的房产的数据。这使得它容易受到选择偏差的影响，因为这些房产的价格走势可能并不代表房屋库存的价格走势。我们概述了一种模拟重复销售的新方法，该方法允许房屋的特征影响其价格走势。这使我们能够推算房屋库存的价格变化，并控制可观察的选择。利用2002年至2020年佛罗里达州的数据，我们发现选择效应显著地夸大了佛罗里达州房价的波动性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Selection Bias in Housing Price Indexes: The Characteristics Repeat Sales Approach*

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Selection Bias in Housing Price Indexes: The Characteristics Repeat Sales Approach*

The widely used repeat sales method for constructing house price indexes only uses data for properties that sell twice or more. This makes it susceptible to selection bias as price movements for these properties may not be representative of those for the stock of homes. We outline a novel approach to modelling repeat sales, which allows for a home's characteristics to influence its price movement. This allows us to impute price changes for the stock of homes and control for selection-on-observables. Using data for Florida from 2002 to 2020 we find that selection effects significantly exaggerated the volatility of Florida's housing prices.

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来源期刊

Oxford Bulletin of Economics and Statistics 管理科学-统计学与概率论

CiteScore

5.10

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Whilst the Oxford Bulletin of Economics and Statistics publishes papers in all areas of applied economics, emphasis is placed on the practical importance, theoretical interest and policy-relevance of their substantive results, as well as on the methodology and technical competence of the research. Contributions on the topical issues of economic policy and the testing of currently controversial economic theories are encouraged, as well as more empirical research on both developed and developing countries.