Abstract:

As it is known, there are differences among women and men regarding the labor market indicators such as wage, labor force participation rate, unemployment rate, sectoral distribution of employment and employment status. There are economical, sociological, cultural, legal and political reasons behind these differences between genders. In this study, we try to find out whether the strength of factors such as education, age, marital status is same between genders in determining the employment chance. In order to answer this question, we set a standard linear Probit model and test the model for both genders on 2004 and 2013 Household Labor Force Survey micro data sets, which covers about 6oo thousand observations, using the STATA statistics software. We find that coefficients of almost all explanatory variables determining the employment probability are statistically different among men and women. The difference is more significant for education and marital status variables. Quantitative and empirical studies are important for efficient use of resources and for achievement of targets regarding the social policies and/or labor market policies

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