Research Article

A COMPARISON OF MULTINOMIAL LOGISTIC AND MULTINOMIAL CONDITIONAL LOGISTIC REGRESSION MODELS IN ASSESSING EUROPEAN UNION MEMBERSHIP

Volume: 4 Number: 2 December 1, 2009
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A COMPARISON OF MULTINOMIAL LOGISTIC AND MULTINOMIAL CONDITIONAL LOGISTIC REGRESSION MODELS IN ASSESSING EUROPEAN UNION MEMBERSHIP

Abstract

Multinomial logistic (ML) and multinomial conditional logistic (MCL) regression models are used for modeling the relationships between a polytomous response variable and a set of explanatory variables. In this study, key factors affecting the European Union (EU) membership process are determined using ML and MCL models. We compare the ML and MCL models and argue that MCL is more preferable than the more complex ML model. Then for each candidate or potential candidate country, the probability of the accession time for the EU membership is predicted. The findings indicate that human development index, gdp per capita, exports of goods and services are important factors in determining which of the countries will join the EU
and when they will do so. Furthermore, the probabilities of the accession time for both candidate and potential candidate countries are predicted as more than six years. 

Keywords

References

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Details

Primary Language

English

Subjects

Mathematical Sciences

Journal Section

Research Article

Authors

Yüksel Ünvan This is me

Publication Date

December 1, 2009

Submission Date

January 29, 2010

Acceptance Date

-

Published in Issue

Year 2009 Volume: 4 Number: 2

APA
Ünvan, Y., & Özel, G. (2009). A COMPARISON OF MULTINOMIAL LOGISTIC AND MULTINOMIAL CONDITIONAL LOGISTIC REGRESSION MODELS IN ASSESSING EUROPEAN UNION MEMBERSHIP. Süleyman Demirel University Faculty of Arts and Science Journal of Science, 4(2), 199-212. https://izlik.org/JA97GD35CB
AMA
1.Ünvan Y, Özel G. A COMPARISON OF MULTINOMIAL LOGISTIC AND MULTINOMIAL CONDITIONAL LOGISTIC REGRESSION MODELS IN ASSESSING EUROPEAN UNION MEMBERSHIP. Süleyman Demirel University Faculty of Arts and Science Journal of Science. 2009;4(2):199-212. https://izlik.org/JA97GD35CB
Chicago
Ünvan, Yüksel, and Gamze Özel. 2009. “A COMPARISON OF MULTINOMIAL LOGISTIC AND MULTINOMIAL CONDITIONAL LOGISTIC REGRESSION MODELS IN ASSESSING EUROPEAN UNION MEMBERSHIP”. Süleyman Demirel University Faculty of Arts and Science Journal of Science 4 (2): 199-212. https://izlik.org/JA97GD35CB.
EndNote
Ünvan Y, Özel G (December 1, 2009) A COMPARISON OF MULTINOMIAL LOGISTIC AND MULTINOMIAL CONDITIONAL LOGISTIC REGRESSION MODELS IN ASSESSING EUROPEAN UNION MEMBERSHIP. Süleyman Demirel University Faculty of Arts and Science Journal of Science 4 2 199–212.
IEEE
[1]Y. Ünvan and G. Özel, “A COMPARISON OF MULTINOMIAL LOGISTIC AND MULTINOMIAL CONDITIONAL LOGISTIC REGRESSION MODELS IN ASSESSING EUROPEAN UNION MEMBERSHIP”, Süleyman Demirel University Faculty of Arts and Science Journal of Science, vol. 4, no. 2, pp. 199–212, Dec. 2009, [Online]. Available: https://izlik.org/JA97GD35CB
ISNAD
Ünvan, Yüksel - Özel, Gamze. “A COMPARISON OF MULTINOMIAL LOGISTIC AND MULTINOMIAL CONDITIONAL LOGISTIC REGRESSION MODELS IN ASSESSING EUROPEAN UNION MEMBERSHIP”. Süleyman Demirel University Faculty of Arts and Science Journal of Science 4/2 (December 1, 2009): 199-212. https://izlik.org/JA97GD35CB.
JAMA
1.Ünvan Y, Özel G. A COMPARISON OF MULTINOMIAL LOGISTIC AND MULTINOMIAL CONDITIONAL LOGISTIC REGRESSION MODELS IN ASSESSING EUROPEAN UNION MEMBERSHIP. Süleyman Demirel University Faculty of Arts and Science Journal of Science. 2009;4:199–212.
MLA
Ünvan, Yüksel, and Gamze Özel. “A COMPARISON OF MULTINOMIAL LOGISTIC AND MULTINOMIAL CONDITIONAL LOGISTIC REGRESSION MODELS IN ASSESSING EUROPEAN UNION MEMBERSHIP”. Süleyman Demirel University Faculty of Arts and Science Journal of Science, vol. 4, no. 2, Dec. 2009, pp. 199-12, https://izlik.org/JA97GD35CB.
Vancouver
1.Yüksel Ünvan, Gamze Özel. A COMPARISON OF MULTINOMIAL LOGISTIC AND MULTINOMIAL CONDITIONAL LOGISTIC REGRESSION MODELS IN ASSESSING EUROPEAN UNION MEMBERSHIP. Süleyman Demirel University Faculty of Arts and Science Journal of Science [Internet]. 2009 Dec. 1;4(2):199-212. Available from: https://izlik.org/JA97GD35CB