Abstract
This paper studies the transmission of the major shocks in the U.S. housing market in the 2000s to consumption and residential investment. Using geographically disaggregated data, I show that residential investment is more responsive to these shocks than consumption, as measured by elasticities and the implied contributions to GDP growth. I develop a structural life-cycle model featuring multiple types of housing investment to understand the large responses of residential investment. Consistent with the microdata, the model generates lumpy debt accumulation, lumpy housing investment and a strong correlation between mortgage borrowing and housing investment at the early stage of the life cycle. In the model, households move up the property ladder by increasing their mortgage debt after they have accumulated enough home equity. Since liquidity constraints and fixed costs prevent especially young homeowners from acquiring their desired home, shocks to their borrowing capacity have a large impact on residential investment.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.