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Log-Linear Analysis of Contingency Tables: An Introduction for Historians with an application to Thernstrom on the "Floating Proletariat"

Cox, Gary W. and Galenson, David W. and Kousser, J. Morgan (1982) Log-Linear Analysis of Contingency Tables: An Introduction for Historians with an application to Thernstrom on the "Floating Proletariat". Social Science Working Paper, 417. California Institute of Technology , Pasadena, CA. (Unpublished)

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For historians or other social scientists whose data is available in discreet (nominal- or ordinal-level) form, recently developed “log-linear” multivariate statistical techniques offer considerable advantages over commonsensical devices and are in many respects superior to such multivariate methods as multiple classification analysis, weighted least-squares, and logit. Reanalyzing Thernstrom’s Boston data on geographic mobility, we explain the ideas behind and the procedure of log-linear analysis explicitly, step-by-step. Intended for people who are already somewhat familiar with statistics (say, through multiple regression), the paper is self-contained and as simple as we could make it. After reading it carefully, one should be well prepared to perform such an analysis himself. Substantively, we sketch a simple economic model which points to age as an important determinant of the decision to move or stay, and our results cast doubt on Thernstrom’s tentatively offered notion of a “floating proletariat.”

Item Type:Report or Paper (Working Paper)
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Additional Information:Published as Kousser, J. Morgan, Gary W. Cox, and David W. Galenson. "Log-linear analysis of contingency tables: An introduction for historians with an application to Thernstrom on the “Floating Proletariat”." Historical Methods: A Journal of Quantitative and Interdisciplinary History 15.4 (1982): 152-169.
Group:Social Science Working Papers
Series Name:Social Science Working Paper
Issue or Number:417
Record Number:CaltechAUTHORS:20171003-152223033
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:82012
Deposited By: Jacquelyn Bussone
Deposited On:04 Oct 2017 19:03
Last Modified:03 Oct 2019 18:49

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