Gateway to Think Tanks
来源类型 | Discussion paper |
规范类型 | 论文 |
来源ID | DP16223 |
DP16223 Learning about Housing Cost: Survey Evidence from the German House Price Boom | |
Fabian Kindermann; Julia Le Blanc; Monika Piazzesi; Martin Schneider | |
发表日期 | 2021-06-03 |
出版年 | 2021 |
语种 | 英语 |
摘要 | This paper uses new household survey data to study expectation formation during the recent housing boom in Germany. The cross section of forecasts depends on only two household characteristics: location and tenure. The average household in a region responds to local conditions but underpredicts local price growth. Renters make on average higher and hence more accurate forecasts than owners, although their forecasts are more dispersed and their mean squared forecast errors are higher. A quantitative model of learning about housing cost can match these facts. It emphasizes the unique information structure of housing among asset markets: renters who do not own the asset are relatively well informed about its cash flow, since they pay for housing services that owners simply consume. Renters then make more accurate forecasts in a boom driven by an increase in rents and recovery from a financial crisis. |
主题 | Financial Economics ; Monetary Economics and Fluctuations |
URL | https://cepr.org/publications/dp16223 |
来源智库 | Centre for Economic Policy Research (United Kingdom) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/545192 |
推荐引用方式 GB/T 7714 | Fabian Kindermann,Julia Le Blanc,Monika Piazzesi,et al. DP16223 Learning about Housing Cost: Survey Evidence from the German House Price Boom. 2021. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。