Further Evidence on the Spatio-Temporal Model of House Prices in the United States

B. Baltagi, Jing Li
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引用次数: 34

Abstract

SUMMARY Holly, Pesaran, and Yamagata (Journal of Econometrics 2010; 158 : 160–173) use a panel of 49 states over the period 1975–2003 to show that state‐level real housing prices are driven by economic fundamentals, such as real per capita disposable income, as well as by common shocks, such as changes in interest rates, oil prices and technological change. They apply the common correlated effects estimator of Pesaran (Econometrica 2006; 74 (4): 967–101), which takes into account spatial interactions that reflect both geographical proximity and unobserved common factors. This paper replicates their results using a panel of 381 metropolitan statistical areas observed over the period 1975–2011. Our replication shows that their results are fairly robust to the more geographically refined cross‐section units, and to the updated period of study. Copyright © 2013 John Wiley & Sons, Ltd.
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美国房价时空模型的进一步证据
Holly, Pesaran, and Yamagata (Journal of Econometrics 2010;158: 160-173)在1975-2003年期间使用49个州的面板显示,州一级的实际房价是由经济基本面驱动的,如实际人均可支配收入,以及共同的冲击,如利率变化,石油价格和技术变革。他们采用Pesaran (Econometrica 2006;74(4): 967-101),它考虑了反映地理邻近性和未观察到的共同因素的空间相互作用。本文利用1975-2011年期间观察到的381个大都市统计区域的面板复制了他们的结果。我们的复制表明,他们的结果对地理上更精确的横截面单位和更新的研究时期相当稳健。版权所有©2013 John Wiley & Sons, Ltd
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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