Abstract:
The study identifies women's volume of paid and unpaid work in time units and money values. Therefore, German time use data are combined with the monetary input-output table (IOT) for the year 2000 and its inverse matrix. While the IOT provides information about the industries' direct and indirect contributions to traditional GDP, time use data determine the gender-specific paid and unpaid workload. Thus, women's share in an extended GDP, defined as sum of traditional GDP and household production, can be given. Finally the genders' level of qualification is considered. This allows for an identification of the gender-specific quality of work.