Estimation and Comparative Analysis of Generalized Ordered Logit and Multinomial Logit Models

dc.contributor.authorKaraalıoglu, Hılmı
dc.date.accessioned2026-01-24T12:00:56Z
dc.date.available2026-01-24T12:00:56Z
dc.date.issued2024
dc.departmentAlanya Alaaddin Keykubat Üniversitesi
dc.description.abstractAlthough both OLOGIT and MLOGIT models are from the logit model family and their mathematical form is similar, these models have many different aspects besides their similarities. In this context, two dependent variables, one nominal and the other ordinal, measuring the same information were placed in the same data set and these models were compared from various perspectives by making these variables dependent variables. These are the significance of the parameters, their suitability for estimation, ease of implementation, and the provision of assumptions. During the implementation, GOLOGIT was put into practice because Ordered Logit did not provide the parallel regression assumption. Although the number of significant parameters is the same in both models, GOLOGIT stands out in terms of providing detailed analysis for each level of each qualitative independent variable and making fewer model estimations than MLOGIT
dc.identifier.doi10.29023/alanyaakademik.1136997
dc.identifier.endpage14
dc.identifier.issn2547-9733
dc.identifier.issn2651-4192
dc.identifier.issue1
dc.identifier.startpage1
dc.identifier.trdizinid1266077
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1266077
dc.identifier.urihttps://doi.org/10.29023/alanyaakademik.1136997
dc.identifier.urihttps://hdl.handle.net/20.500.12868/3826
dc.identifier.volume8
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofAlanya Akademik Bakış
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TR-Dizin_20260121
dc.subjectRevisit intention
dc.subjectParallel Lines
dc.subjectMultinomial logit
dc.subjectGeneralized Ordered logit
dc.subjectIIA Assumption
dc.titleEstimation and Comparative Analysis of Generalized Ordered Logit and Multinomial Logit Models
dc.typeArticle

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