{"title":"Geographic and Temporal Variation in Housing Filtering Rates","authors":"Liyi Liu, Douglas A. McManus, Elias Yannopoulos","doi":"10.2139/ssrn.3527800","DOIUrl":null,"url":null,"abstract":"In Housing Economics, filtering is the process by which properties, as they age, depreciate in quality and hence price and thus tend to be purchased by lower-income households. This is the primary mechanism by which competitive markets supply low-income housing. While at the national level filtering is an important long-term source of lower-income housing, this research shows that there is a wide range of filtering rates both across and within metropolitan statistical areas (MSAs) for owner-occupied properties. Notably, in some markets, properties “filter up” to higher-income households. This paper contributes to our understanding of filtering by demonstrating the heterogeneity of filtering rates. The analysis finds strong geographic and temporal variation in filtering rates.","PeriodicalId":143058,"journal":{"name":"Econometric Modeling: Microeconometric Studies of Health","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Econometric Modeling: Microeconometric Studies of Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3527800","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
In Housing Economics, filtering is the process by which properties, as they age, depreciate in quality and hence price and thus tend to be purchased by lower-income households. This is the primary mechanism by which competitive markets supply low-income housing. While at the national level filtering is an important long-term source of lower-income housing, this research shows that there is a wide range of filtering rates both across and within metropolitan statistical areas (MSAs) for owner-occupied properties. Notably, in some markets, properties “filter up” to higher-income households. This paper contributes to our understanding of filtering by demonstrating the heterogeneity of filtering rates. The analysis finds strong geographic and temporal variation in filtering rates.