G2TT
来源类型Discussion paper
规范类型论文
来源IDDP7911
DP7911 A Dynamic Model of Housing Demand: Estimation andPolicy Implications
Patrick Bajari; Dirk Krueger; Daniel Miller
发表日期2010-07-01
出版年2010
语种英语
摘要Using data from the Panel Study of Income Dynamics (PSID) we specify, estimate and simulate a dynamic structural model of housing demand. Our model generalizes previous applied econometric work by incorporating realistic features of the housing market including non-convex adjustment costs from buying and selling a home, credit constraints from minimum downpayment requirements and uncertainty about the evolution of incomes and home prices. We argue that these features are critical for capturing salient features of housing demand observed in the PSID. After estimating the model we use it to simulate how consumer behavior responds to house price and income declines as well as tightening credit. These experiments are motivated by the U.S. recession starting in December of 2007 that saw large falls in home prices, large negative income shocks for many households and tightening credit standards. In the short run, relatively few households adjust their housing stock. Households respond instead by reducing non-housing consumption and reducing wealth because they wish to avoid losing their home and the associated adjustment costs. Households that adjust in the short run are those hit with a series of bad shocks, such as a negative income shock and a home price decline. A larger proportion of households do adjust their consumption in the long run, increasing their housing stock since housing is less expensive. However, such changes may occur several years after the shocks listed above.
主题International Macroeconomics
关键词Financing constraints House price decline Housing demand Transaction costs
URLhttps://cepr.org/publications/dp7911
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/536748
推荐引用方式
GB/T 7714
Patrick Bajari,Dirk Krueger,Daniel Miller. DP7911 A Dynamic Model of Housing Demand: Estimation andPolicy Implications. 2010.
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