{"title":"我想知道的人:人格信息对共享住房市场中种族和性别歧视的非单调效应","authors":"Raphael Moritz , Christian Manger","doi":"10.1016/j.jhe.2022.101842","DOIUrl":null,"url":null,"abstract":"<div><p>We conducted a correspondence test to identify the determinants and extent of ethnic discrimination in the market for shared housing in Germany. We establish a link between information about an applicant’s personality and her performance in the housing market. About 2,000 fictitious applications with randomly assigned German-, or Turkish-sounding, female or male names, with or without additional personality information were sent to vacant room ads. While the callback rate for German-sounding names is 52 percent, it drops to 37 percent for Turkish-sounding names. Female applicants receive significantly more callbacks than their male counterparts. Additional personality information is particularly beneficial to the group with the highest callback rate (German females) and the group with the lowest callback rate (Turkish males). Thus, personality information reduce the ethnic gap between Turkish and German males, whereas the gap among females increases. A simple theoretical model shows that the strong effect of information on German females can be explained by aggregation over rooms that differ in market tightness. Moreover, advertisers who only accept applications of one particular gender discriminate significantly more against Turkish applicants.</p></div>","PeriodicalId":51490,"journal":{"name":"Journal of Housing Economics","volume":"57 ","pages":"Article 101842"},"PeriodicalIF":1.4000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Somebody that I want to know: The non-monotonic effect of personality information on ethnic and gender discrimination in the market for shared housing\",\"authors\":\"Raphael Moritz , Christian Manger\",\"doi\":\"10.1016/j.jhe.2022.101842\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We conducted a correspondence test to identify the determinants and extent of ethnic discrimination in the market for shared housing in Germany. We establish a link between information about an applicant’s personality and her performance in the housing market. About 2,000 fictitious applications with randomly assigned German-, or Turkish-sounding, female or male names, with or without additional personality information were sent to vacant room ads. While the callback rate for German-sounding names is 52 percent, it drops to 37 percent for Turkish-sounding names. Female applicants receive significantly more callbacks than their male counterparts. Additional personality information is particularly beneficial to the group with the highest callback rate (German females) and the group with the lowest callback rate (Turkish males). Thus, personality information reduce the ethnic gap between Turkish and German males, whereas the gap among females increases. A simple theoretical model shows that the strong effect of information on German females can be explained by aggregation over rooms that differ in market tightness. Moreover, advertisers who only accept applications of one particular gender discriminate significantly more against Turkish applicants.</p></div>\",\"PeriodicalId\":51490,\"journal\":{\"name\":\"Journal of Housing Economics\",\"volume\":\"57 \",\"pages\":\"Article 101842\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Housing Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S105113772200016X\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Housing Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S105113772200016X","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
Somebody that I want to know: The non-monotonic effect of personality information on ethnic and gender discrimination in the market for shared housing
We conducted a correspondence test to identify the determinants and extent of ethnic discrimination in the market for shared housing in Germany. We establish a link between information about an applicant’s personality and her performance in the housing market. About 2,000 fictitious applications with randomly assigned German-, or Turkish-sounding, female or male names, with or without additional personality information were sent to vacant room ads. While the callback rate for German-sounding names is 52 percent, it drops to 37 percent for Turkish-sounding names. Female applicants receive significantly more callbacks than their male counterparts. Additional personality information is particularly beneficial to the group with the highest callback rate (German females) and the group with the lowest callback rate (Turkish males). Thus, personality information reduce the ethnic gap between Turkish and German males, whereas the gap among females increases. A simple theoretical model shows that the strong effect of information on German females can be explained by aggregation over rooms that differ in market tightness. Moreover, advertisers who only accept applications of one particular gender discriminate significantly more against Turkish applicants.
期刊介绍:
The Journal of Housing Economics provides a focal point for the publication of economic research related to housing and encourages papers that bring to bear careful analytical technique on important housing-related questions. The journal covers the broad spectrum of topics and approaches that constitute housing economics, including analysis of important public policy issues.