2011
DOI: 10.2139/ssrn.1787252
|View full text |Cite
|
Sign up to set email alerts
|

Credit Supply and House Prices: Evidence from Mortgage Market Segmentation

Abstract: Association 2012 Meetings, and Yale School of Management for thoughtful comments. We also thank Andrew Cramond from Dataquick for help with the data. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peerreviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

10
110
0

Year Published

2013
2013
2022
2022

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 85 publications
(120 citation statements)
references
References 49 publications
10
110
0
Order By: Relevance
“…Easier financing may have stimulated housing turnover but the relaxation of corresponding statewide restrictions on branching occurred at different times in different states, so we cannot measure the impact of IBBEA94 accurately in our sample of regional turnover. Adelino, Schoar and Severino () explore the relationship between increases in the conforming loan limit, which occurred several times during our sample period, and the value of houses that moved into the range of eligibility for securitization by Government Sponsored Enterprises. They find that house prices increased significantly with GSE loan purchase eligibility.…”
Section: Macro‐level Evidencesupporting
confidence: 84%
“…Easier financing may have stimulated housing turnover but the relaxation of corresponding statewide restrictions on branching occurred at different times in different states, so we cannot measure the impact of IBBEA94 accurately in our sample of regional turnover. Adelino, Schoar and Severino () explore the relationship between increases in the conforming loan limit, which occurred several times during our sample period, and the value of houses that moved into the range of eligibility for securitization by Government Sponsored Enterprises. They find that house prices increased significantly with GSE loan purchase eligibility.…”
Section: Macro‐level Evidencesupporting
confidence: 84%
“…As a result the share of borrowers that are considered as solvent and the volume of credit in the economy both expand. The huge development of cheap credit in the pre-crisis period, with the extreme example of the US subprime loans, suggests a positive correlation between credit and house price appreciation (Mian and Sufi, 2009;Adelino et al, 2012) 18,19 . However, the impact of this variable cannot be restricted only at the boom of the market, since after the bust liquidity constraints emerge.…”
Section: A Theoretical Model Of House Pricesmentioning
confidence: 99%
“…Thus, in order to properly match U.S. data we replace our perfect foresight assumption with an adaptive learning rule, in the spirit of Evans and Honkapohja (2001) and Hommes (2013), that has been able to generate large swings in asset prices and excess volatility in other contexts. 3 We calibrate the learning model to U.S. data, solve for the learning path and show that the model generates a house price boom of the same magnitude as exhibited in the data. Moreover, the model provides a good …t to sectoral labor ‡ows and the unemployment rate.…”
Section: Introductionmentioning
confidence: 93%