{"title":"Impact of House Price Changes on Durable and Non-Durable Consumption in the United States","authors":"Sujata Saha","doi":"10.53383/100357","DOIUrl":null,"url":null,"abstract":"This paper examines the symmetric and asymmetric effects of house price changes and a few other macroeconomic variables on durable and non-durable consumption separately. The study considers the nonlinear panel Autoregressive Distributed Lag (ARDL) approach (Pooled Mean Group (PMG) estimation (Pesaran, 1997; Pesaran et al., 1999)) for cointegration and error-correction modeling, and uses annual data from fifty states of the U.S. The results show that changes in house prices have asymmetric effects on both durable and non-durable consumption in the long run. To dig deeper into the relationship between house price and consumption, I divide the fifty U.S. states into three categories: high-, middle- and low-income states. This helps to examine how the responsiveness of durable and non-durable consumption varies across these three categories. The findings show that the low-income states are affected more by changes in house prices than that of the high- and middle-income states.","PeriodicalId":44050,"journal":{"name":"International Real Estate Review","volume":"25 1","pages":""},"PeriodicalIF":0.4000,"publicationDate":"1998-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Real Estate Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53383/100357","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper examines the symmetric and asymmetric effects of house price changes and a few other macroeconomic variables on durable and non-durable consumption separately. The study considers the nonlinear panel Autoregressive Distributed Lag (ARDL) approach (Pooled Mean Group (PMG) estimation (Pesaran, 1997; Pesaran et al., 1999)) for cointegration and error-correction modeling, and uses annual data from fifty states of the U.S. The results show that changes in house prices have asymmetric effects on both durable and non-durable consumption in the long run. To dig deeper into the relationship between house price and consumption, I divide the fifty U.S. states into three categories: high-, middle- and low-income states. This helps to examine how the responsiveness of durable and non-durable consumption varies across these three categories. The findings show that the low-income states are affected more by changes in house prices than that of the high- and middle-income states.
本文分别考察了房价变化和其他一些宏观经济变量对持久消费和非持久消费的对称和非对称影响。该研究考虑了非线性面板自回归分布滞后(ARDL)方法(Pooled Mean Group (PMG)估计)(Pesaran, 1997;Pesaran et al., 1999))进行协整和误差校正建模,并使用来自美国50个州的年度数据。结果表明,从长远来看,房价的变化对耐用和非耐用消费都有不对称的影响。为了更深入地研究房价与消费之间的关系,我将美国50个州分为三类:高收入州、中等收入州和低收入州。这有助于检查在这三个类别中持久和非持久消费的响应性如何变化。研究结果表明,与高收入和中等收入国家相比,低收入国家受房价变化的影响更大。