Do Credit Conditions Move House Prices?

Daniel L. Greenwald, Adam M. Guren
{"title":"Do Credit Conditions Move House Prices?","authors":"Daniel L. Greenwald, Adam M. Guren","doi":"10.2139/ssrn.3535224","DOIUrl":null,"url":null,"abstract":"o what extent did an expansion and contraction of credit drive the housing boom and bust? The existing literature lacks consensus, with findings ranging from credit having no effect to credit driving the entire house price cycle. We show that the key difference behind these disparate results is how rental markets are modeled: assuming perfect segmentation between rental and owner-occupied housing leads to large effects of credit on house prices, while assuming frictionless rental markets makes credit irrelevant for house prices. We develop a model with frictional rental markets that nests both extremes and allows us to consider intermediate cases. We argue that the relative elasticity of the price-to-rent ratio and homeownership with respect to an identified credit shock is a sufficient statistic to measure these frictions, estimate this moment, and use it to calibrate our model. Our result imply that rental markets are highly frictional and close to segmented, consistent with large effects of credit on house prices. Experiments using the structural model imply that credit conditions explain 47% - 57% of the rise in price-rent ratios over the boom.","PeriodicalId":143058,"journal":{"name":"Econometric Modeling: Microeconometric Studies of Health","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"54","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Econometric Modeling: Microeconometric Studies of Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3535224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 54

Abstract

o what extent did an expansion and contraction of credit drive the housing boom and bust? The existing literature lacks consensus, with findings ranging from credit having no effect to credit driving the entire house price cycle. We show that the key difference behind these disparate results is how rental markets are modeled: assuming perfect segmentation between rental and owner-occupied housing leads to large effects of credit on house prices, while assuming frictionless rental markets makes credit irrelevant for house prices. We develop a model with frictional rental markets that nests both extremes and allows us to consider intermediate cases. We argue that the relative elasticity of the price-to-rent ratio and homeownership with respect to an identified credit shock is a sufficient statistic to measure these frictions, estimate this moment, and use it to calibrate our model. Our result imply that rental markets are highly frictional and close to segmented, consistent with large effects of credit on house prices. Experiments using the structural model imply that credit conditions explain 47% - 57% of the rise in price-rent ratios over the boom.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
信贷状况会影响房价吗?
信贷的扩张和收缩在多大程度上推动了房地产的繁荣和萧条?现有文献缺乏共识,其发现范围从信贷没有影响到信贷驱动整个房价周期。我们表明,这些截然不同的结果背后的关键区别在于租赁市场的建模方式:假设租赁住房和自住住房之间的完美分割导致信贷对房价的巨大影响,而假设无摩擦的租赁市场使信贷与房价无关。我们开发了一个包含摩擦租赁市场的模型,该模型包含两个极端情况,并允许我们考虑中间情况。我们认为,相对于确定的信贷冲击,租售比和住房拥有率的相对弹性是一个足够的统计数据来衡量这些摩擦,估计这一刻,并用它来校准我们的模型。我们的结果表明,租赁市场是高度摩擦的,接近分割,与信贷对房价的巨大影响是一致的。使用结构模型的实验表明,信贷条件解释了繁荣时期房价租金比上升的47% - 57%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Effects of Airbnb on the Housing Market: Evidence from London. Education and Food Consumption Patterns: Quasi-Experimental Evidence from Indonesia New Perspectives on the Effectiveness of Affirmative Action in School Choice On Non-Negative Equity Guarantee Calculations with Macroeconomic Variables Related to House Prices Forecasting the Taipei House Prices Index: An Application of Factor Model with Google Trend Index
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1