Abstract:

Unregistered employment, which is defined as the lack of or no notification of employees to the social security institution, damages individuals with the extent of time, economy, regulation and social protection. In this context, the current research aims to identify the socio-demographic characteristics that affect unregistered employment in Istanbul. In the 2017 study, a micro-data set was used for the TIK households Annual Labour Force Survey. As an example, in the Statistical Regional Units Classification (IBBS Level 2) TR10 Istanbul Region, 15-64 years old and active employees in the private sector were selected. The sample volume consists of 13930 employees under these limits. In the study, two models were predicted in order to identify socio-demographic variables affecting unregistered work. The first model includes gender, age group, educational status, civil status and the number of employees in the workplace; the second model also includes the way of working. The first model results showed that women, young people, low-educated, married, wedded/divorced and small-sized enterprises workers are more likely to be unregistered. The second model found that young people, those with a low level of education, wives/divorced, small business workers and part-time workers are more likely to be unregistered.

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