An Application of the Generalized Poisson Model for Over Dispersion Data on The Number of Strikes Between 1984 and 2017
Yıl: 2020 Cilt: 8 Sayı: 2 Sayfa Aralığı: 249 - 259 Metin Dili: İngilizce DOI: 10.17093/alphanumeric.670611 İndeks Tarihi: 31-05-2021
An Application of the Generalized Poisson Model for Over Dispersion Data on The Number of Strikes Between 1984 and 2017
Öz: Poisson regression analysis is widely used in many studies including count data. Poisson regression analysis is based on the assumption of equal mean and variance. However, this assumption is quite difficult in regression models. In cases where the assumption is not provided, over dispersion or under dispersionoccurs. Over dispersion in data occurs when the variance of the dependent variable is greater than the average. This results in lower estimates than the standard errors. The generalized Poisson regression model is one of the methods used in case of over dispersion. This model is a generalization of Poisson regression. In this study, Poisson regression and generalized Poisson regression methods were used in the modelling of count data for determinants of strikes between 1984 and 2017. According to empiricalresults, while all explanatory variables of the Poisson regression model were significant, the unemployment rate was found to be insignificant for the generalized Poisson regressionmodel. This result was evaluated considering the structure of the data.
Anahtar Kelime: Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
- Agresti, A. (1996). An Introduction to Categorical Data Analysis. John Wiley and Sons, New York.
- Akaike, H. (1973). Information Theory and an Extension of the Maximum Likelihood Principle, 2nd International Symposium on Information Theory, 267-281.
- Al-Ghirbal A.S. and Al-Ghamdi A.S. (2006). Predecting Severe Accidents Rates at Roundabouts Using Poisson Distribution. TRB Annual Meeting, 06-1684.
- Cameron, A.C. and Trivedi, P.K. (1998). Regression Analysis of Count Data. Cambridge University Press.
- Consul, P.C. and Jain G.C. (1973). A Generalization of The Poisson Distribution. Technometrics, 15(4), 791-799.
- Deniz Ö. (2005). Poisson Regresyon Analizi, İstanbul Ticaret Üniversitesi, Fen Bilimleri Dergisi, 4(7): 59-72.
- Famoye, F. (1993). Restricted Generalized Poisson Regression Model. Communications in Statistics Theory and Methods, 22(5), 1335-1354.
- Gujarati, D.F. (1999). Temel Ekonometri, Çev. Ümit Şenesen ve Gülay Günlük Şenesen, İstanbul: Literatür Yayıncılık.
- Hoffman, J. (2004). Generalized Linear Models, Boston, Pearson Education Inc.
- Hurvich, C.M. and Tsai, C. (1989). Regression and Time Series Model Selection in Small Samples, Biometrika, 76, 297-307.
- Joe, H. and Zhu, R. (2005). Generalized Poisson Distribution: The Property of Mixture of Poisson and Comparison with Negative Binomial Distribution, Biometrical Journal 47(2), 219‐229.
- Kibar, F.T. (2008). Trafik Kazaları ve Trabzon Bölünmüş Sahil Yolu Örneğinde Kaza Tahmin Modelinin Oluşturulması. Karadeniz Teknik Üniversitesi, Fen Bilimleri Enstitüsü, Yüksek Lisans Tezi.
- King, G. (1988). Statistical Models for Political Science Event Counts: Bias in Conventional Procedures and Evidence for the Exponential Poisson Regression Model, American Journal of Political Science, 3(3), 838-863.
- Koutsoyiannis A. (1989). Ekonometri Kuramı, Çev: Ümit Şenesen ve Gülay Günlük Şenesen, Ankara: Verso Yayıncılık.
- McQuarrie, A.D. and Tsai, C. L. (1998). Regression and Time Series Model Selection, World Sciencetific.
- Moksony, F. and Hegedus, R. (2014). The Use of Poisson Regression in the Sociological Study of Suicide, Corvinus Journal of Sociology And Social Policy, 5(2), 97-114.
- Osgood, D.W. (2000), Poisson-Based Regression Analysis of Aggregate Crime Rates, Journal of Quantitative Criminology, 16, 21-43.
- Pamukcu, E., Colak, C. and Halisdemir, N. (2014) Modeling of The Number of Divorce in Turkey Using The Generalized Poisson, Quasi-Poisson and Negative Binomial Regression, Turkish Journal of Science & Technology, 9(1), 89-96.
- Sezgin, F.H. and Deniz, E. (2004). Poisson Regresyon Modelinde Aşırı Yayılım Durumu ve Negatif Binomial Regresyon Analizinin Türkiye Grev Sayıları Üzerine Bir Uygulaması, Yönetim, 15(48), 17-25.
- Stata (2019). StataCorp, Statistical Software Package, Stata v.14. Erişim linki: https://www.stata.com/
- Sugiura, N. (1978). Further Analysis of the Data by Akaike’s Information Criterion and the Finite Corrections, Communication in Statistics Theory and Methods, 57, 13-26.
- Şahin, H. (2002). Poisson Regresyon Uygulaması: Türkiye'deki Grevlerin Belirleyicileri 1964-1998, Doğuş Üniversitesi Dergisi, 5, 173-180.
- Tokol, A. (2016). Türkiye’de Sendikal Hareket, Sendikacılık Akademisi Ders Notları-4. Erişim linki: http://www.turkis.org.tr/dosya/sqzeWfz7yWyS.pdf
- Yang, Z., Hardin, J.W. and Addy, C.L. (2009). A Score test for Overdispersion in Poisson Regression Based on The Generalized Poisson-2 Model, Journal of Statistical Planning and Inference. 139, 1514-1521.
| APA | Durmuş B, ISÇI GÜNERI O (2020). An Application of the Generalized Poisson Model for Over Dispersion Data on The Number of Strikes Between 1984 and 2017. , 249 - 259. 10.17093/alphanumeric.670611 |
| Chicago | Durmuş Burcu,ISÇI GÜNERI OZNUR An Application of the Generalized Poisson Model for Over Dispersion Data on The Number of Strikes Between 1984 and 2017. (2020): 249 - 259. 10.17093/alphanumeric.670611 |
| MLA | Durmuş Burcu,ISÇI GÜNERI OZNUR An Application of the Generalized Poisson Model for Over Dispersion Data on The Number of Strikes Between 1984 and 2017. , 2020, ss.249 - 259. 10.17093/alphanumeric.670611 |
| AMA | Durmuş B,ISÇI GÜNERI O An Application of the Generalized Poisson Model for Over Dispersion Data on The Number of Strikes Between 1984 and 2017. . 2020; 249 - 259. 10.17093/alphanumeric.670611 |
| Vancouver | Durmuş B,ISÇI GÜNERI O An Application of the Generalized Poisson Model for Over Dispersion Data on The Number of Strikes Between 1984 and 2017. . 2020; 249 - 259. 10.17093/alphanumeric.670611 |
| IEEE | Durmuş B,ISÇI GÜNERI O "An Application of the Generalized Poisson Model for Over Dispersion Data on The Number of Strikes Between 1984 and 2017." , ss.249 - 259, 2020. 10.17093/alphanumeric.670611 |
| ISNAD | Durmuş, Burcu - ISÇI GÜNERI, OZNUR. "An Application of the Generalized Poisson Model for Over Dispersion Data on The Number of Strikes Between 1984 and 2017". (2020), 249-259. https://doi.org/10.17093/alphanumeric.670611 |
| APA | Durmuş B, ISÇI GÜNERI O (2020). An Application of the Generalized Poisson Model for Over Dispersion Data on The Number of Strikes Between 1984 and 2017. Alphanumeric Journal, 8(2), 249 - 259. 10.17093/alphanumeric.670611 |
| Chicago | Durmuş Burcu,ISÇI GÜNERI OZNUR An Application of the Generalized Poisson Model for Over Dispersion Data on The Number of Strikes Between 1984 and 2017. Alphanumeric Journal 8, no.2 (2020): 249 - 259. 10.17093/alphanumeric.670611 |
| MLA | Durmuş Burcu,ISÇI GÜNERI OZNUR An Application of the Generalized Poisson Model for Over Dispersion Data on The Number of Strikes Between 1984 and 2017. Alphanumeric Journal, vol.8, no.2, 2020, ss.249 - 259. 10.17093/alphanumeric.670611 |
| AMA | Durmuş B,ISÇI GÜNERI O An Application of the Generalized Poisson Model for Over Dispersion Data on The Number of Strikes Between 1984 and 2017. Alphanumeric Journal. 2020; 8(2): 249 - 259. 10.17093/alphanumeric.670611 |
| Vancouver | Durmuş B,ISÇI GÜNERI O An Application of the Generalized Poisson Model for Over Dispersion Data on The Number of Strikes Between 1984 and 2017. Alphanumeric Journal. 2020; 8(2): 249 - 259. 10.17093/alphanumeric.670611 |
| IEEE | Durmuş B,ISÇI GÜNERI O "An Application of the Generalized Poisson Model for Over Dispersion Data on The Number of Strikes Between 1984 and 2017." Alphanumeric Journal, 8, ss.249 - 259, 2020. 10.17093/alphanumeric.670611 |
| ISNAD | Durmuş, Burcu - ISÇI GÜNERI, OZNUR. "An Application of the Generalized Poisson Model for Over Dispersion Data on The Number of Strikes Between 1984 and 2017". Alphanumeric Journal 8/2 (2020), 249-259. https://doi.org/10.17093/alphanumeric.670611 |
