Dependent Dummy Variable Models: An Application of Logit, Probit and Tobit Models on Survey Data

Öznur İŞÇİ GÜNERİ; Burcu DURMUŞ

Makale detayları

Dependent Dummy Variable Models: An Application of Logit, Probit and Tobit Models on Survey Data

Yazarlar:

Öznur İŞÇİ GÜNERİ | Burcu DURMUŞ

Yayıncı:

İskender AKKURT

Ana Başlıklar:

Astronomi ve ilgili bilimler

Dergi:

International Journal of Computational and Experimental Science and Engineering 2020 Vol.6 Issue 1, pp.63-74

Belge Tipi:

Makale

Yayın Tarihi:

3/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000477130

Sıklık:

Üç Yıllık

eISSN:

2149-9144

Özet:

 

In the current study, logit, probit and tobit models which are commonly used among dependent dummy variable models are included. These models are also known as limited dependent variable models in the literature. Surveys, which are widely used in the field of social sciences, are carried out with limited options due to their nature. Linear regression models cannot be used in statistical estimations since they do not provide assumptions in limited analysis. In this case, different regression models may be preferred. The main purpose of this study is to compare the Tobit model used in censored data and the binary logit and binary probit regression models derived from this model. For this purpose, analysis were conducted on survey data. Logit, probit and Tobit model coefficient estimates and marginal effects were calculated. In addition, AIC and BIC values were obtained from the model selection criteria for these 3 models.

Makale detayları

Dependent Dummy Variable Models: An Application of Logit, Probit and Tobit Models on Survey Data

Yazarlar: Öznur İŞÇİ GÜNERİ | Burcu DURMUŞ

Yayıncı: İskender AKKURT

Ana Başlıklar: Astronomi ve ilgili bilimler

Dergi: International Journal of Computational and Experimental Science and Engineering 2020 Vol.6 Issue 1, pp.63-74

Belge Tipi: Makale

Yayın Tarihi: 3/2020

Belge Dili: İngilizce

Document ID (Org No.): 2000477130

Sıklık: Üç Yıllık

eISSN: 2149-9144

Sayı

Yazarlar:

Öznur İŞÇİ GÜNERİ | Burcu DURMUŞ

Yayıncı:

İskender AKKURT

Ana Başlıklar:

Astronomi ve ilgili bilimler

Dergi:

International Journal of Computational and Experimental Science and Engineering 2020 Vol.6 Issue 1, pp.63-74

Belge Tipi:

Makale

Yayın Tarihi:

3/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000477130

Sıklık:

Üç Yıllık

eISSN:

2149-9144