This study examines the probabilities and determinants of part-time working at home for the case of Turkey. Data used in the study are based on Turkish Household Labor Force Survey of 2015. In the context of logistic regression model, a number of demographic, social, cultural, and economic characteristics of employees are used to be main determinants of part-time working at home or out-of- home. According to the results, there is an inverted U-curve relationship between age and part-time working at home decision. For the males and females, the industries related with professional jobs are more attractive for part-time working at home. In addition, as education level of employee rises, the probability of part-time working at home also increases. 
