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Heterogeneity in general multinomial choice models
[journal article]
Abstract Different voters behave differently at the polls, different students make different university choices, or different countries choose different health care systems. Many research questions important to social scientists concern choice behavior, which involves dealing with nominal dependent variables... view more
Different voters behave differently at the polls, different students make different university choices, or different countries choose different health care systems. Many research questions important to social scientists concern choice behavior, which involves dealing with nominal dependent variables. Drawing on the principle of maximum random utility, we propose applying a flexible and general heterogeneous multinomial logit model to study differences in choice behavior. The model systematically accounts for heterogeneity that classical models do not capture, indicates the strength of heterogeneity, and permits examining which explanatory variables cause heterogeneity. As the proposed approach allows incorporating theoretical expectations about heterogeneity into the analysis of nominal dependent variables, it can be applied to a wide range of research problems. Our empirical example uses individual-level survey data to demonstrate the benefits of the model in studying heterogeneity in electoral decisions.... view less
Keywords
methodological research; heterogeneity; voting behavior; voter; model
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Political Process, Elections, Political Sociology, Political Culture
Free Keywords
categorical dependent variable; multinomial logit model; discrete choice analysis; random utility maximization; electoral decisions; Vor- und Nachwahl-Querschnitt (Kumulation) (GLES 2017) (ZA6802 v3.0.0)
Document language
English
Publication Year
2023
Page/Pages
p. 129-148
Journal
Statistical Methods & Applications, 32 (2023) 1
DOI
https://doi.org/10.1007/s10260-022-00642-5
ISSN
1613-981X
Status
Published Version; peer reviewed