Estimating the Number of Unemployed Months for Individuals in Turkey with the Poisson and Negative Binomial Regression Models
نویسندگان
چکیده
Unemployment is one of the greatest economic and social problems in Turkey, as well it many other countries world. often explained by macroeconomic factors. However, demographic individual characteristics also have an effect on unemployment duration individuals, addition to The present study aims find factors that individuals Turkey with count data regression models. Therefore, examined Poisson Regression (PR) Negative Binomial (NBR) models, which are used cases dependent variable data. determine model best fit dataset among estimated In study, number months were unemployed was modeled, using obtained from Survey Income Living Conditions (SILC) micro Turkish Statistical Institute (TURKSTAT) 2019. 62713 people aged 15 over participated SILC, 5889 reported they for month or more. A independent variables marital status, education general health status determined seven models forward selection method. It has been fits predicted NBR according Akaike Information Criterion (AIC).
 Key Words: Count data, Model, Model
 JEL Classification: C10, C46, D30
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ژورنال
عنوان ژورنال: Yönetim ve Ekonomi
سال: 2023
ISSN: ['1302-0064', '2458-8253']
DOI: https://doi.org/10.18657/yonveek.1067907