.png){kind=icon}
返回
Clustered housing cycles
.png){kind=icon}
OA
AI
DOI：10.1016/j.regsciurbeco.2017.06.003.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Using a panel of U.S. city-level building permits data, we estimate a Markov-switching model of housing cycles that allows cities to systematically deviate from the national housing cycle. These deviations occur for clusters of cities that experience simultaneous housing contractions. We find that cities do not form housing regions in the traditional geographic sense. Instead, similarities in factors affecting the demand for housing (such as population growth or availability of credit) appear to be more important determinants of cyclical co-movements than similarities in factors affecting the supply for land (such as the availability of developable land or the elasticity of land supply).
Keyword:
Clustered Markov switching
Business cycles
Building permits
Co-movements
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
2.9
论文数:
2.3K
被引数:
4.8K
机构
引用论文
Pythagorean-Hodograph curves-based trajectory planning for pick-and-place operation of Delta robot with prescribed pick and place heights.png)
Robotica
RoboticaIF0
PREAI
分享收藏A NEW APPROACH TO THE ECONOMIC-ANALYSIS OF NONSTATIONARY TIME-SERIES AND THE BUSINESS-CYCLE一种非平稳时间序列和商业周期经济分析的新方法ECONOMETRICA
ECONOMETRICAIF7.1
PREAI
分享收藏Preparation and characterization of SiO2/TiO2 core-shell particles with controlled shell thickness
PREAI
分享收藏
查看更多内容