G2TT
来源类型Discussion paper
规范类型论文
来源IDDP16351
DP16351 Transaction Sequencing and House Price Pressures
Morten Grindaker; Artashes Karapetyan; Espen R. Moen; Plamen T. Nenov
发表日期2021-07-10
出版年2021
语种英语
摘要We use a unique data set of individual transaction histories from Norway to show that temporary shocks to the buyer-to-seller ratio (or market tightness) caused by the transaction sequence decisions of moving homeowners -- whether to buy first and then sell or vice versa -- impact house prices. Using a shift-share IV design motivated by a simple theoretical model, we estimate that a 10 percentage point increase in the aggregate buy-first share causes house prices to increase by around 5 percent, time-to-sell to decrease by around 17 percent, and market tightness to increase by around 15 percent more in a local housing market that has a one standard deviation higher share of locally moving owners. Our empirical strategy allows us to estimate an elasticity of price to market tightness of around 0.4 and an elasticity of matching with respect to buyers of around 0.86.
主题Financial Economics ; Industrial Organization
关键词Housing markets Trading frictions Market tightness Transaction order Shift-share design Transaction-level data Transaction histories Search theory
URLhttps://cepr.org/publications/dp16351
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/545315
推荐引用方式
GB/T 7714
Morten Grindaker,Artashes Karapetyan,Espen R. Moen,et al. DP16351 Transaction Sequencing and House Price Pressures. 2021.
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