{"title":"估计具有备选样本的多项逻辑模型。","authors":"Benjamin F Jarvis","doi":"10.1177/0081175018793460","DOIUrl":null,"url":null,"abstract":"<p><p>This comment reconsiders advice offered by Bruch and Mare regarding sampling choice sets in conditional logistic regression models of residential mobility. Contradicting Bruch and Mare's advice, past econometric research shows that no statistical correction is needed when using simple random sampling of unchosen alternatives to pare down respondents' choice sets. Using data on stated residential preferences contained in the Los Angeles portion of the Multi-City Study of Urban Inequality, it is shown that following Bruch and Mare's advice-to implement a statistical correction for simple random choice set sampling-leads to biased coefficient estimates. This bias is all but eliminated if the sampling correction is omitted.</p>","PeriodicalId":48140,"journal":{"name":"Sociological Methodology","volume":"49 1","pages":"341-348"},"PeriodicalIF":2.4000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0081175018793460","citationCount":"7","resultStr":"{\"title\":\"ESTIMATING MULTINOMIAL LOGIT MODELS WITH SAMPLES OF ALTERNATIVES.\",\"authors\":\"Benjamin F Jarvis\",\"doi\":\"10.1177/0081175018793460\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This comment reconsiders advice offered by Bruch and Mare regarding sampling choice sets in conditional logistic regression models of residential mobility. Contradicting Bruch and Mare's advice, past econometric research shows that no statistical correction is needed when using simple random sampling of unchosen alternatives to pare down respondents' choice sets. Using data on stated residential preferences contained in the Los Angeles portion of the Multi-City Study of Urban Inequality, it is shown that following Bruch and Mare's advice-to implement a statistical correction for simple random choice set sampling-leads to biased coefficient estimates. This bias is all but eliminated if the sampling correction is omitted.</p>\",\"PeriodicalId\":48140,\"journal\":{\"name\":\"Sociological Methodology\",\"volume\":\"49 1\",\"pages\":\"341-348\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1177/0081175018793460\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sociological Methodology\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1177/0081175018793460\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2018/8/30 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"SOCIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sociological Methodology","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/0081175018793460","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2018/8/30 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"SOCIOLOGY","Score":null,"Total":0}
ESTIMATING MULTINOMIAL LOGIT MODELS WITH SAMPLES OF ALTERNATIVES.
This comment reconsiders advice offered by Bruch and Mare regarding sampling choice sets in conditional logistic regression models of residential mobility. Contradicting Bruch and Mare's advice, past econometric research shows that no statistical correction is needed when using simple random sampling of unchosen alternatives to pare down respondents' choice sets. Using data on stated residential preferences contained in the Los Angeles portion of the Multi-City Study of Urban Inequality, it is shown that following Bruch and Mare's advice-to implement a statistical correction for simple random choice set sampling-leads to biased coefficient estimates. This bias is all but eliminated if the sampling correction is omitted.
期刊介绍：
Sociological Methodology is a compendium of new and sometimes controversial advances in social science methodology. Contributions come from diverse areas and have something useful -- and often surprising -- to say about a wide range of topics ranging from legal and ethical issues surrounding data collection to the methodology of theory construction. In short, Sociological Methodology holds something of value -- and an interesting mix of lively controversy, too -- for nearly everyone who participates in the enterprise of sociological research.
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