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    Abstract
2012 (Vol. 4, Issue: 3)
Article Information:

An Application of Ordered Logit Model and Artificial Neural Networks in an Income Model

Ercan Baldemir, Hatice Ozkoc, Hakan Bakan and Burak Yesildag
Corresponding Author:  Hakan Bakan 

Key words:  Artificial neural network, estimation, income, life satisfaction, nodes , ordered logit model,
Vol. 4 , (3): 77-82
Submitted Accepted Published
March 31, 2012 April 17, 2012 June 30, 2012
Abstract:

The detection of factors affecting the income distribution is an economically and socially important study subject. Therefore, the researchers aim to model the income and by this way, make suggestions to overcome the difference. In this study, it is aimed to determine the factors affecting the income by using the results obtained from the study of “2010 A Study on Life Satisfaction”, which was performed by TUIK in Turkey. The income models, which were obtained with the help of artificial neural networks and ordered logit model, were compared in terms of estimation power and the obtained results were interpreted.
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  Cite this Reference:
Ercan Baldemir, Hatice Ozkoc, Hakan Bakan and Burak Yesildag, 2012. An Application of Ordered Logit Model and Artificial Neural Networks in an Income Model.  Current Research Journal of Economic Theory, 4(3): 77-82.
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ISSN (Online):  2042-485X
ISSN (Print):   2042-4841
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