ABSTRACT

Unemployment and time-based underemployment statistics present information only on the insufficient employment volume in terms of time worked while not including any information on the inadequacy of employment and its social aspects. In order to fill in the gap, inadequate employment statistics give information on more general labour constraints that limit the capacities and well-being of workers. Inadequate employment includes all employed persons who want to change their current work situation because of insufficient income, underutilisation of occupational skills and capabilities, and excessive working hours. In this sense, this paper aims to analyse gender differences in the association between the inadequate employment and demographic profile and work-status variables by a gender-based logistic regression model, by using 2016 Household Labour Force Survey microdata taken from Turkish Statistical Institute. The research results originally found that being 15-24 age band for female and 25-34 age band for male, having higher educational attainment, working in a part-time job, working in construction sector, working informally, taking charge in an elementary occupation, and working in the Mediterranean Region increased the likelihood of inadequate employment in varying ratios by gender