Yönetim ve Ekonomi (Jun 2015)

Kendi Hesabına Çalışılan İşler: Türkiye Üzerine Ekonometrik Bir Uygulama(Self-Employment: An Econometric Application on Turkey)

  • Burak DARICI ,
  • H. Mehmet TAŞÇI

Journal volume & issue
Vol. 22, no. 1
pp. 15 – 30

Abstract

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This study examines the main determinants of self-employment in Turkey. For this aim, we utilized from the definition of self-employment in TURKSTAT’s Household Labor Force Surveys (HLFS), where self-employment covers three groups of individuals, namely, employer, own-account worker and unpaid-family workers. The data set is obtained from the raw data of Household Labor Force Surveys of 2006-2007 and 2008. In order to analyze the data, the multinomial-logit model is used and estimated by maximum likelihood estimation method. Main findings of this analysis are as the following. We find that living in the urban areas increases the likelihood of being employer, but decreases the likelihood of being own-account worker as well as unpaid family worker, as compared to the base category of wage-employed individuals. Also, being female declines the likelihood of being in the self-employment types. Further, being married increases the probability of being employer and own-account worker, while it declines the probability of being unpaid family worker. In addition, being head of household increases the likelihood of being employer, but it declines the likelihood of being own-account worker and unpaid family worker, as compared to the base group. Furthermore, increases in age continuously increase the probability of being employer, while there is a U-shaped relation between age and being unpaid family worker, compared to the base group of wage-employed. As compared to non-graduates the probability of being employer is lower for vocational high school and university graduates, while the same probability is higher for B. Darıcı & H.M. Taşçı / Kendi Hesabına Çalışılan İşler: Türkiye Üzerine Ekonometrik Bir Uygulama 16 the primary school graduates. Finally, geographical region of residence is also statistically significant difference in determining the types of employment.

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