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

IF 1.4 3区 经济学 Q3 ECONOMICS Journal of Housing Economics Pub Date : 2022-09-01 DOI:10.1016/j.jhe.2022.101842
Raphael Moritz , Christian Manger
{"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 ,&nbsp;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 ,&nbsp;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}
引用次数: 0

摘要

我们进行了对应检验,以确定德国共享住房市场中种族歧视的决定因素和程度。我们在申请人的性格信息和她在房地产市场上的表现之间建立了联系。大约有2000个虚构的申请,随机分配了德语或土耳其语发音的女性或男性名字,有或没有额外的个性信息,被发送到空房广告中。听起来像德语的名字的回调率为52%,听起来像土耳其语的名字的回调率降至37%。女性求职者比男性求职者收到的面试通知要多得多。额外的个性信息对回调率最高的群体(德国女性)和回调率最低的群体(土耳其男性)尤其有益。因此,性格信息减少了土耳其和德国男性之间的种族差距,而女性之间的差距则增加了。一个简单的理论模型表明,信息对德国女性的强烈影响可以用市场紧缩程度不同的房间的聚集来解释。此外,只接受一种特定性别申请的广告商对土耳其申请人的歧视明显更大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.30
自引率
4.20%
发文量
35
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.
期刊最新文献
Sea-level rise, groundwater quality, and the impacts on coastal homeowners’ decisions to sell The effect of flood risk on house prices in the Basque Country Discrimination in the Austrian rental housing market: The effect of information concerning first and second-generation immigrant status Gobi wind blows housing price away: Willingness to pay for clean air in China Does flood risk affect property prices? Evidence from a property-level flood score
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1