Cristián Hernández, D. Quint, Christopher Turansick
{"title":"英国拍卖中未观察到异质性的估计","authors":"Cristián Hernández, D. Quint, Christopher Turansick","doi":"10.1111/1756-2171.12343","DOIUrl":null,"url":null,"abstract":"We propose a framework for identification and estimation of a private values model with unobserved heterogeneity from bid data in English auctions, using variation in the number of bidders across auctions, and extend the framework to settings where the number of bidders is not cleanly observed in each auction. We illustrate our method on data from eBay Motors auctions. We find that unobserved heterogeneity is important, accounting for two thirds of price variation after controlling for observables, and that welfare measures would be dramatically misestimated if unobserved heterogeneity were ignored.","PeriodicalId":51342,"journal":{"name":"Rand Journal of Economics","volume":"1 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/1756-2171.12343","citationCount":"8","resultStr":"{\"title\":\"Estimation in English auctions with unobserved heterogeneity\",\"authors\":\"Cristián Hernández, D. Quint, Christopher Turansick\",\"doi\":\"10.1111/1756-2171.12343\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a framework for identification and estimation of a private values model with unobserved heterogeneity from bid data in English auctions, using variation in the number of bidders across auctions, and extend the framework to settings where the number of bidders is not cleanly observed in each auction. We illustrate our method on data from eBay Motors auctions. We find that unobserved heterogeneity is important, accounting for two thirds of price variation after controlling for observables, and that welfare measures would be dramatically misestimated if unobserved heterogeneity were ignored.\",\"PeriodicalId\":51342,\"journal\":{\"name\":\"Rand Journal of Economics\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2020-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1111/1756-2171.12343\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Rand Journal of Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1111/1756-2171.12343\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rand Journal of Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1111/1756-2171.12343","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Estimation in English auctions with unobserved heterogeneity
We propose a framework for identification and estimation of a private values model with unobserved heterogeneity from bid data in English auctions, using variation in the number of bidders across auctions, and extend the framework to settings where the number of bidders is not cleanly observed in each auction. We illustrate our method on data from eBay Motors auctions. We find that unobserved heterogeneity is important, accounting for two thirds of price variation after controlling for observables, and that welfare measures would be dramatically misestimated if unobserved heterogeneity were ignored.
期刊介绍:
The RAND Journal of Economics publishes theoretical and empirical research on industrial organization and closely related topics, including contracts, organizations, law and economics, and regulation. The RAND Journal of Economics, formerly the Bell Journal of Economics, is published quarterly by The RAND Corporation, in conjunction with Blackwell Publishing.