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Interpreting Discrete Choice Models

Garrett Glasgow

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English
Cambridge University Press
12 May 2022
In discrete choice models the relationships between the independent variables and the choice probabilities are nonlinear, depending on both the value of the particular independent variable being interpreted and the values of the other independent variables. Thus, interpreting the magnitude of the effects (the substantive effects ) of the independent variables on choice behavior requires the use of additional interpretative techniques. Three common techniques for interpretation are described here: first differences, marginal effects and elasticities, and odds ratios. Concepts related to these techniques are also discussed, as well as methods to account for estimation uncertainty. Interpretation of binary logits, ordered logits, multinomial and conditional logits, and mixed discrete choice models such as mixed multinomial logits and random effects logits for panel data are covered in detail. The techniques discussed here are general, and can be applied to other models with discrete dependent variables which are not specifically described here.

By:  
Imprint:   Cambridge University Press
Country of Publication:   United Kingdom
Edition:   New edition
Dimensions:   Height: 228mm,  Width: 151mm,  Spine: 5mm
Weight:   132g
ISBN:   9781108819404
ISBN 10:   1108819400
Series:   Elements in Quantitative and Computational Methods for the Social Sciences
Pages:   75
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

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