This edited volume uses a feminist approach to explore the economic implications of the complex interrelationship between gender and time use. Household composition, sexuality, migration patterns, income levels, and race/ethnicity are all considered as important factors that interact with gender and time use patterns. The book is split in two sections: The macroeconomic portion explores cutting edge issues such as time poverty and its relationship to income poverty, and the macroeconomic effects of recession and austerity; while the microeconomic section studies topics such as differences by age, activity sequencing, and subjective well-being of time spent. The chapters also examine a range of age groups, from the labor of school-age children to elderly caregivers, and analyze time use in Argentina, Australia, Canada, China, Finland, India, Korea, South Africa, Tanzania, Turkey, and the United States. Each chapter provides a substantial introduction to the academic literature of its focus and is written to be revealing to researchers and accessible to students and policymakers.
This paper discusses the challenges associated with collecting time-use data in developing countries. The paper suggests potential solutions, concentrating on the two most common time-use methods used in development settings: stylized questions and time diaries. The paper identifies a significant lack of rigorous empirical research comparing these methods in development settings, and begins to fill this gap by analyzing data from Women’s Empowerment in Agriculture Index surveys in Bangladesh and Uganda. The surveys include stylized questions and time diary estimates for the same individual. The study finds limited evidence that stylized questions are more feasible (in terms of interview length)but also less accurate, compared with time diaries. These results are attributed to the relatively greater cognitive burden imposed on respondents by stylized questions. The paper discusses the importance of broadening the scope of time-use research to capture the quantity and quality of time, to achieve richer insights into gendered time-use patterns and trends. The paper suggests a path forward that combines mainstream time-use data collection methods with promising methodological innovations from other disciplines.