RT Generic
T1 Replication Data for: Heterogeneity in General Multinomial Choice Models.
A1 Mauerer, Ingrid Doris
A1 Tutz, Gerhard
K1 Elecciones
K1 Modelos matemáticos
AB 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.
PB Harvard Dataverse
YR 2024
FD 2024
LK https://hdl.handle.net/10630/39040
UL https://hdl.handle.net/10630/39040
LA eng
NO The files contain the commands to run the models and create the tables in Mauerer, I. & Tutz, G. (2023). "Heterogeneity in General Multinomial Choice Models." Statistical Methods & Applications 32(1): 129–148. https://doi.org/10.1007/s10260-022-00642-5
NO EMERGIA, Junta de Andalucia
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026