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Estimating Multinomial Logit Models with Samples of Alternatives
Linköping University, Department of Management and Engineering, The Institute for Analytical Sociology, IAS. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0001-8127-4051
2018 (English)In: Sociological methodology, ISSN 0081-1750, E-ISSN 1467-9531Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
SAGE Publications Inc , 2018.
Keywords [en]
discrete choice, choice sets, sampling, residential mobility
National Category
Sociology
Identifiers
URN: urn:nbn:se:liu:diva-156125DOI: 10.1177/0081175018793460OAI: oai:DiVA.org:liu-156125DiVA, id: diva2:1302155
Available from: 2019-04-03 Created: 2019-04-03 Last updated: 2019-04-03

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The full text will be freely available from 2019-08-30 16:25
Available from 2019-08-30 16:25

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Jarvis, Benjamin

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