{"title":"Housing Yields","authors":"Stefano Colonnello, Roberto Marfè, Qizhou Xiong","doi":"10.2139/ssrn.3786959","DOIUrl":null,"url":null,"abstract":"This paper investigates heterogeneity in residential property yields using rental and sale listings from the largest German internet real estate platform. Equipped with property-level rent-to-price ratios obtained via matching properties for sale and for rent, we show that they strongly co-move with local factors, such as population age structure, industry structure, housing supply rigidities, and the liquidity and size of the housing market. Regional differences are particularly pronounced between globally relevant cities and other areas. However, a large fraction of the variation of rent-to-price ratios can be explained neither by local factors nor by an extensive array of property-specific observable features, pointing to the crucial role of idiosyncratic factors and within-city aggregation economies. We then create a pseudo-panel to examine the time-series dimension of house prices and show that the ability of expectations about discount and rent growth rates impounded in rent-to-price ratios to predict return and rent growth is statistically significant but of limited economic magnitude.","PeriodicalId":10619,"journal":{"name":"Comparative Political Economy: Social Welfare Policy eJournal","volume":"23 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Comparative Political Economy: Social Welfare Policy eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3786959","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper investigates heterogeneity in residential property yields using rental and sale listings from the largest German internet real estate platform. Equipped with property-level rent-to-price ratios obtained via matching properties for sale and for rent, we show that they strongly co-move with local factors, such as population age structure, industry structure, housing supply rigidities, and the liquidity and size of the housing market. Regional differences are particularly pronounced between globally relevant cities and other areas. However, a large fraction of the variation of rent-to-price ratios can be explained neither by local factors nor by an extensive array of property-specific observable features, pointing to the crucial role of idiosyncratic factors and within-city aggregation economies. We then create a pseudo-panel to examine the time-series dimension of house prices and show that the ability of expectations about discount and rent growth rates impounded in rent-to-price ratios to predict return and rent growth is statistically significant but of limited economic magnitude.