Do Households Use Homeownership To Insure Themselves? Evidence across US Cities
Are households more likely to be homeowners when “housing risk” is higher? We show that homeownership rates and loan-to-value (LTV) ratios at the city level are strongly negatively correlated with house price levels and the variance of house price growth rates in the city. But both price levels and the variance of their growth rates are themselves correlated with the relative value of land in the city, even when land value is instrumented for using topographic measures. We disentangle the contributions of high prices from high variances by building a life-cycle model of homeownership choices. The model is able to explain much of the cross-city dispersion in homeownership and LTV. We find that higher price levels explain the lower homeownership while higher risk explains the lower LTV in high land value cities. The variation in LTV with risk highlights the importance of including other means of insurance in models of homeownership.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||2011|
|Date of revision:|
|Contact details of provider:|| Postal: Society for Economic Dynamics Marina Azzimonti Department of Economics Stonybrook University 10 Nicolls Road Stonybrook NY 11790 USA|
Web page: http://www.EconomicDynamics.org/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:red:sed011:276. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christian Zimmermann)
If references are entirely missing, you can add them using this form.