|
Abstract
|
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
Submitted: March 31, 2012
Accepted: April 17, 2012
Published: 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.
Key words: Artificial neural network, estimation, income, life satisfaction, nodes , ordered logit model,
|
|
Abstract
|
PDF
|
HTML |
|
Cite this Reference:
Ercan Baldemir, Hatice Ozkoc, Hakan Bakan and Burak Yesildag, . An Application of Ordered Logit Model and Artificial Neural Networks in an Income Model. Current Research Journal of Economic Theory, (3): 77-82.
|
|
|
|
 |
ISSN (Online): 2042-485X
ISSN (Print): 2042-4841 |
 |
| Information |
|
|
|
|
| Sales & Services |
|
|
|
|
