Bubbles in US regional house prices: evidence from house price–income ratios at the State level

We investigate the presence of bubbles in the US house price-income ratio at the State level by applying the recent time series-based econometric test to data from January 1975 to December 2014. We find evidence of bubbles in several States in the 1980s (i.e. California, Hawaii, Massachusetts, New York, etc.), which coincides with some existing studies that investigate housing bubbles or booms and busts using a range of alternative approaches. Our results show the existence of a housing bubble that originates in the early 2000s and collapses in the mid-2000s in more than 20 States and the District of Columbia concluding that the bubbles of the 2000s were more widespread than the 1980s, which is of special interest and importance. Our results seem to be in agreement with the talk given by Alan Greenspan in 2005, who suggest no sign of a nationwide housing bubble but a lot of local bubbles. We also study the importance of the regression model specification with/without an intercept and the regression model with an intercept could lead to false-positive identification of bubbles.     

流动性过剩研究新视角——基于经济剩余的思考

流动性核算多从货币口径度量。借鉴经济剩余的思想,经济系统流动性过剩是流动性资产补偿预期消费和风险的剩余。通过1990-2014年年度数据核算我国流动性过剩情况：微观流动性长期过剩,宏观流动性过剩或短缺依次出现。通过对流动性增长率和流动性过剩时间序列进行分析,结果表明,我国的流动性适度过剩或紧缩对经济持续增长和改善消费环境并无害处。     

单位根的DF、ADF检验与PP检验比较研究

在检验时间趋势之前,先确定在时间序列中是否存在单位根（unitroot）,只有在单位根假设被拒绝后,才能用带趋势的稳定过程。单位根检验之所以引起广泛兴趣,是因为许多经济时间序列被变换为对数形式后都含有单位根。     

A review of Phillips-type right-tailed unit root bubble detection tests

Recent developments on the right-tailed unit root tests of Phillips et al., which are used to date stamp the origination and collapse dates of asset price bubbles, have generated considerable interest. This paper provides a review for both empirical researchers that adopt these new econometric tools to detect the presence of asset price bubbles, and theoretical papers that extend these testing procedures. This paper also uses the psymonitor package in R to demonstrate the practical use of such tests using an example based on data for British Railway Mania of the 1840s.