Impacts of monetary policy on housing prices in five emerging economies during the Covid-19 pandemic

Trung Ba Nguyen, Chon Van Le
{"title":"Impacts of monetary policy on housing prices in five emerging economies during the Covid-19 pandemic","authors":"Trung Ba Nguyen, Chon Van Le","doi":"10.1108/ijhma-04-2023-0057","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThis paper aims to examine the dynamic impacts of the COVID-19 pandemic and government policy on real house price indices in five emerging economies, namely, Brazil, China, Thailand, Turkey and South Africa.\n\n\nDesign/methodology/approach\nThe authors use the local projection method with a panel data set of these countries spanning from January 2020 to July 2021.\n\n\nFindings\nThe number of COVID-19 confirmed positive cases raised housing prices, whereas government containment measures reduced them. Both conventional and unconventional monetary policy implemented by central banks to cope with the COVID-19 helped increase housing prices. These effects were strengthened by the US monetary policy via globalized financial markets.\n\n\nOriginality/value\nFirst, while previous researches typically concentrated on developed countries, the authors investigate emerging economies where proportionally more people were badly affected by the pandemic. Second, a panel data set of five emerging economies enabled the authors to examine the dynamic effects of the COVID-19 crisis on housing prices. Third, to the best of the authors’ knowledge, this is the first study evaluating the influences of easing monetary policy on housing prices in emerging economies during the pandemic.\n","PeriodicalId":14136,"journal":{"name":"International Journal of Housing Markets and Analysis","volume":" ","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Housing Markets and Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ijhma-04-2023-0057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"URBAN STUDIES","Score":null,"Total":0}
引用次数: 1

Abstract

Purpose This paper aims to examine the dynamic impacts of the COVID-19 pandemic and government policy on real house price indices in five emerging economies, namely, Brazil, China, Thailand, Turkey and South Africa. Design/methodology/approach The authors use the local projection method with a panel data set of these countries spanning from January 2020 to July 2021. Findings The number of COVID-19 confirmed positive cases raised housing prices, whereas government containment measures reduced them. Both conventional and unconventional monetary policy implemented by central banks to cope with the COVID-19 helped increase housing prices. These effects were strengthened by the US monetary policy via globalized financial markets. Originality/value First, while previous researches typically concentrated on developed countries, the authors investigate emerging economies where proportionally more people were badly affected by the pandemic. Second, a panel data set of five emerging economies enabled the authors to examine the dynamic effects of the COVID-19 crisis on housing prices. Third, to the best of the authors’ knowledge, this is the first study evaluating the influences of easing monetary policy on housing prices in emerging economies during the pandemic.
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
新冠肺炎大流行期间货币政策对五个新兴经济体房价的影响
本文旨在研究新冠肺炎疫情和政府政策对巴西、中国、泰国、土耳其和南非五个新兴经济体实际房价指数的动态影响。设计/方法/方法作者对这些国家的面板数据集使用了当地预测方法,时间跨度为2020年1月至2021年7月。新冠肺炎确诊病例数量推高了房价,而政府的遏制措施则降低了房价。各国央行为应对新冠肺炎疫情而实施的常规和非常规货币政策都助长了房价上涨。通过全球化的金融市场,美国的货币政策加强了这些影响。原创性/价值首先,虽然以前的研究通常集中在发达国家,但作者调查了受疫情严重影响的人口比例更高的新兴经济体。其次,五个新兴经济体的面板数据集使作者能够检查COVID-19危机对房价的动态影响。第三,据作者所知,这是第一项评估疫情期间放松货币政策对新兴经济体房价影响的研究。
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
CiteScore
2.80
自引率
29.40%
发文量
68
期刊最新文献
Comparative analysis of machine learning models in predicting housing prices: a case study of Prishtina's real estate market The exchange rates volatilities impact on the stock and real estate markets in South Africa Housing affordability and housing demand assessment for urban poor in India using the hedonic model Short-run dynamics and long-run effects of monetary policy on residential property prices in South Africa Relationship between housing, oil, gold and stock markets: evidence from UK and Norway
×
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