Ordinal Log-Linear Models for Contingency Tables

• Autorzy: Justyna Brzezińska
• Języki publikacji: EN

Abstrakty

EN

A log-linear analysis is a method providing a comprehensive scheme to describe the association for categorical variables in a contingency table. The log-linear model specifies how the expected counts depend on the levels of the categorical variables for these cells and provide detailed information on the associations. The aim of this paper is to present theoretical, as well as empirical, aspects of ordinal log-linear models used for contingency tables with ordinal variables. We introduce log-linear models for ordinal variables: linear-by-linear association, row effect model, column effect model and RC Goodman's model. Algorithm, advantages and disadvantages will be discussed in the paper. An empirical analysis will be conducted with the use of R.(original abstract)

Słowa kluczowe

EN

Linear models; Empirical analysis; Econometrics; Log-linear models

PL

Modele liniowe; Analiza empiryczna; Ekonometria; Modele logarytmiczno-liniowe

• Czasopismo: Folia Oeconomica Stetinensia
• Rocznik: 2016
• Numer: vol. 16, iss. 1
• Strony: 264--273

Twórcy

autor

Justyna Brzezińska

• University of Economics in Katowice, Poland

Bibliografia

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Identyfikatory

DOI

10.1515/foli-2016-0017