{"title":"The impact of urban population on housing cost: the case of Australia","authors":"Chris Leishman, Weidong Liang, Nicholas Sim","doi":"10.1038/s42949-023-00136-7","DOIUrl":null,"url":null,"abstract":"Rapid population expansions in urban areas have significant implications for housing costs, creating challenges for housing affordability. However, estimating the causal effect of population on housing costs is challenging due to various confounding issues, such as unobserved location-specific attributes, measurement error, and the potential bi-directional relationship between population and housing costs. To address them, we adopt a city-level analysis and introduce a novel instrumental variable (IV) that enables us to employ fixed effects IV estimation. Our findings indicate that housing costs tend to increase at a faster rate than population growth. As individuals and households with lower incomes tend to allocate a larger proportion of their earnings to housing expenses, an upward trajectory of housing costs may dramatically widen the inequality in income after housing expenditure.","PeriodicalId":74322,"journal":{"name":"npj urban sustainability","volume":" ","pages":"1-11"},"PeriodicalIF":9.1000,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s42949-023-00136-7.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj urban sustainability","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s42949-023-00136-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Rapid population expansions in urban areas have significant implications for housing costs, creating challenges for housing affordability. However, estimating the causal effect of population on housing costs is challenging due to various confounding issues, such as unobserved location-specific attributes, measurement error, and the potential bi-directional relationship between population and housing costs. To address them, we adopt a city-level analysis and introduce a novel instrumental variable (IV) that enables us to employ fixed effects IV estimation. Our findings indicate that housing costs tend to increase at a faster rate than population growth. As individuals and households with lower incomes tend to allocate a larger proportion of their earnings to housing expenses, an upward trajectory of housing costs may dramatically widen the inequality in income after housing expenditure.
城市地区人口的快速扩张对住房成本产生了重大影响,给住房可负担性带来了挑战。然而,由于各种混淆问题,如未观察到的特定地点属性、测量误差以及人口与住房成本之间的潜在双向关系,估计人口对住房成本的因果效应具有挑战性。为了解决这些问题,我们采用了城市层面的分析方法,并引入了一种新的工具变量(IV),使我们能够采用固定效应 IV 估计法。我们的研究结果表明,住房成本的增长速度往往快于人口增长速度。由于收入较低的个人和家庭倾向于将较大比例的收入用于住房支出,住房成本的上升轨迹可能会显著扩大住房支出后的收入不平等。