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Heterogeneity in general multinomial choice models
[Zeitschriftenartikel]
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... mehr
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.... weniger
Thesaurusschlagwörter
Methodenforschung; Heterogenität; Wahlverhalten; Wähler; Modell
Klassifikation
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
politische Willensbildung, politische Soziologie, politische Kultur
Freie Schlagwörter
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)
Sprache Dokument
Englisch
Publikationsjahr
2023
Seitenangabe
S. 129-148
Zeitschriftentitel
Statistical Methods & Applications, 32 (2023) 1
DOI
https://doi.org/10.1007/s10260-022-00642-5
ISSN
1613-981X
Status
Veröffentlichungsversion; begutachtet (peer reviewed)