房地产周期性波动的谱分析研究
Study on Spectral Analysis of Real Estate Cyclic Fluctuation
摘要: 简述研究具有周期特征的经济数据的理论工具,依据1988~2016年全国房地产市场供求类数据,提取主成分得到供求双方的综合指标;讨论综合指标时序值的稳定性特征,利用谱分析计算供求双方的周期。研究表明:全国房地产市场供求双方均呈现周期性波动;供给方存在3.5年的主周期和5.6年的次周期,需求方存在4.67年的主周期和2.8年的次周期;从长期发展来看,供求双方具有均衡发展的趋势。
Abstract: This paper first briefly describes the theoretical tools on studying economic data with periodic characteristics, then key indicators both of the supply and demand are identified by extracting the principal components from statistical data of real estate market in China from 1988 to 2016. Discussing the stability characteristics of the key indicators, the cycles both of the supply and demand is calculated by using spectral analysis techniques. The results show that both supply and demand fluctuate periodically. The supply has a main cycle about 3.5-year long and a secondary 5.6-year cycle. In the meantime, the demand has a main cycle of 4.67 and a sub-cycle of 2.8 years. From the long-term development, the supply and demand would have the trend of balanced development.
文章引用:幸冬梅. 房地产周期性波动的谱分析研究[J]. 统计学与应用, 2018, 7(2): 221-233. https://doi.org/10.12677/SA.2018.72026

参考文献

[1] Wernecke, M., Rottke, N. and Holzmann, C. (2004) Incorporating the Real Estate Cycle into Management Decisions Evidence from Germany. Real Estate Port Folio Management, 10, 171-186.
[2] William, W.C. (1999) Real Estate Cycle: Some Funda-mentals. Real Estate Economics, 27, 209-230. [Google Scholar] [CrossRef
[3] Kydland, F.E. and Prescott, E.C. (1982) Time to Build and Aggregate Fluctuations. Econometrica, 6, 1345-1370. [Google Scholar] [CrossRef
[4] Nelson, C.R. and Plosser, C.I. (1982) Trends and Random Walks in Macroeconomic Time Series. Journal of Monetary Economics, 2, 139-162. [Google Scholar] [CrossRef
[5] 范小云, 袁梦怡, 肖立晟. 理解中国的金融周期: 理论、测算与分析[J]. 国际金融研究, 2017(1): 28-38.
[6] 熊彼特. 经济发展理论(中译本) [M]. 北京: 商务印书馆, 1990.
[7] 马凤娣. 熊彼特的经济发展理论[J]. 学术论坛, 1999(1): 23-27.
[8] Priestley, M.B. (1981) Spectral Analysis and Time Series. Academic Press, London.
[9] Hotelling, H. (1933) Analysis of a Complex of Statis-tical Variables into Principal Components. Education Psychology, 24, 417-444.
[10] 曾峣. 经济周期与谱分析研究[J]. 贵州财经学院学报, 1999(3): 43-46.
[11] 张红, 谢娜. 基于主成分分析与谱分析的房地产市场周期研究[J]. 清华大学学报(自然科学版), 2008, 48(9): 24-27.
[12] 陈磊, 张屹山. 我国转轨时期经济周期波动的谱分析[ J]. 数量经济技术经济研究, 2001(1): 18-21.
[13] 李玉梅. 我国房地产价格变动特征及其影响因素的实证研究[D]: [博士学位论文]. 吉林: 吉林大学, 2012.
[14] 王悦. 谱分析方法及其在经济周期研究中的应用谱分析方法及其在经济周期研究中的应用——以美国经济周期波动(1930~2009)的谱分析为例[J]. 财经科学, 2011, 284(11): 34-43.
[15] 邬琼. 谱分析方法在研究我国经济周期中的应用[J]. 中国物价, 2017(7): 3-6.
[16] Massy, W.F. (1965) Principal Components Regression in Exploratory Statistical Research. Journal of the American Statistical Association, 60, 234-256. [Google Scholar] [CrossRef