Cover: Univariate and Multivariate Log-Linear and Logistic Models

Univariate and Multivariate Log-Linear and Logistic Models

Published 1973

by Marc Nerlove, S. James Press


Download eBook for Free

FormatFile SizeNotes
PDF file 5.5 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.


Purchase Print Copy

 Format Price
Add to Cart Paperback145 pages $30.00

Delineates the inappropriateness of certain methods of analysis and summarizes existing maximum-likelihood methods and models for dealing with qualitative data. The log-linear model is extended and related to a general logistic model for the analysis of jointly dependent qualitative variables. The analysis of covariance methods common in regression analysis are extended to the case of jointly dependent qualitative variables, and analogies are provided for structural and reduced form equations for continuously measurable endogenous variables. The conditional probability of a qualitative variable may be interpreted as an analog of the structural equation in a system of simultaneous equations. A computer program is developed for the analysis of jointly dependent qualitative data, the probabilities of which depend on exogenous variables that may vary continuously or categorically. These procedures are used to analyze three bodies of empirical data and to compare the results obtained by other methods.

This report is part of the RAND report series. The report was a product of RAND from 1948 to 1993 that represented the principal publication documenting and transmitting RAND's major research findings and final research.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.