{"title":"Seller and search behavior in the Belgian housing market","authors":"Joren Vandenbergh","doi":"10.1016/j.jhe.2024.101997","DOIUrl":null,"url":null,"abstract":"<div><p>This paper analyzes online real estate listings to estimate the listing price elasticity of search activity for the individual seller for both the rental and sales market. This elasticity is an essential parameter in the literature modeling the process of selling a home, as it indicates the extend to which potential buyers will react to the listing price. Furthermore, we argue that our estimates are an approximation for the average price elasticity of demand facing the individual seller, which is an indication for the amount of competition in the market. A novel dataset tracking real estate advertisements on a daily basis allows to control for unobserved heterogeneity between properties by using property fixed effects, exploiting the variation caused by changes in listing prices and search behavior throughout the listing process. The findings indicate that a one percent increase in the listing price reduces search activity for the property by 6.7 percent for the sales market and 6.6 percent for the rental market. Additionally, we find that an increase in the number of listings in a market segment enhances the listing price elasticity.</p></div>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1051137724000160","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
This paper analyzes online real estate listings to estimate the listing price elasticity of search activity for the individual seller for both the rental and sales market. This elasticity is an essential parameter in the literature modeling the process of selling a home, as it indicates the extend to which potential buyers will react to the listing price. Furthermore, we argue that our estimates are an approximation for the average price elasticity of demand facing the individual seller, which is an indication for the amount of competition in the market. A novel dataset tracking real estate advertisements on a daily basis allows to control for unobserved heterogeneity between properties by using property fixed effects, exploiting the variation caused by changes in listing prices and search behavior throughout the listing process. The findings indicate that a one percent increase in the listing price reduces search activity for the property by 6.7 percent for the sales market and 6.6 percent for the rental market. Additionally, we find that an increase in the number of listings in a market segment enhances the listing price elasticity.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.