The Age–Period–Cohort Problem in Hedonic House Prices Models

IF 1.1 Q3 ECONOMICS
Chung Yim Edward Yiu, K. Cheung
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引用次数: 4

Abstract

The age–period–cohort problem has been studied for decades but without resolution. There have been many suggested solutions to make the three effects estimable, but these solutions mostly exploit non-linear specifications. Yet, these approaches may suffer from misspecification or omitted variable bias. This paper is a practical-oriented study with an aim to empirically disentangle age–period–cohort effects by providing external information on the actual depreciation of housing structure rather than taking age as a proxy. It is based on appraisals of the improvement values of properties in New Zealand to estimate the age-depreciation effect. This research method provides a novel means of solving the identification problem of the age, period, and cohort trilemma. Based on about half a million housing transactions from 1990 to 2019 in the Auckland Region of New Zealand, the results show that traditional hedonic prices models using age and time dummy variables can result, ceteris paribus, in unreasonable positive depreciation rates. The use of the improvement values model can help improve the accuracy of home value assessment and reduce estimation biases. This method also has important practical implications for property valuations.
Hedonic房价模型中的年龄-时期-队列问题
年龄-时期-队列问题已经研究了几十年,但没有得到解决。已经有许多建议的解决方案使这三种效应可估计,但这些解决方案大多利用非线性规范。然而,这些方法可能存在指定错误或遗漏的变量偏差。本文是一项以实践为导向的研究,旨在通过提供住房结构实际折旧的外部信息,而不是将年龄作为代理,从经验上理清年龄-时期-队列效应。它基于对新西兰房地产改善价值的评估来估计年限折旧效应。这种研究方法为解决年龄、时期和队列三重困境的识别问题提供了一种新的方法。基于新西兰奥克兰地区1990年至2019年约50万套住房交易,结果表明,使用年龄和时间伪变量的传统享乐价格模型可能导致不合理的正折旧率,除非是同等的。改善价值模型的使用可以帮助提高房屋价值评估的准确性,并减少估计偏差。这种方法对房地产估价也有重要的实际意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Econometrics
Econometrics Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
2.40
自引率
20.00%
发文量
30
审稿时长
11 weeks
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