The Causal Effects of Schedule Stability Legislation on Worker and Child Health: A Daily Diary Study Using Network Sampling with Memory
Using a cutting-edge, network-driven sampling approach, Network Sampling with Memory (NSM), this pilot award analyzes the causal relationship between workplace schedule instability and the health and well- being of low-wage workers and their families. The study investigates how new legislation aimed at improving work schedule instability outcomes by requiring advance notice of schedules and compensation for schedule changes in Emeryville, CA also affects parents’ schedule instability and family well-being.
By utilizing NSM techniques and recruiting a hidden population of hourly workers with young children (a group essential to understanding the intergenerational transmission of inequality in health outcomes), the study also yields crucial information concerning the consequences of work schedule instability. The pilot also looks at whether or not new legislation has actually reduced instability and improved the health and well-being of low-wage workers and their families.