Presented By: Institute for Social Research
“Schedule Volatility in Hourly Service Work: Evidence and Implications for Federal Income-Support Policies”
Stone Center Speak Series: Elizabeth Ananat

Join the Stone Center for Inequality Dynamics as Elizabeth Ananat, Mallya Professor of Women and Economics, Barnard College, presents, “Schedule Volatility in Hourly Service Work: Evidence and Implications for Federal Income-Support Policies.”
Abstract: In the U.S., work opportunities for those with lower levels of formal education have moved in recent years toward service employment, and this concentration is especially strong among households with children. Even compared to other jobs for those without college degrees, service work is characterized by shorter tenure and less access to full-time hours, patterns that are visible in national data and are more pronounced for those with children. In novel data collected through daily text-message reports from hourly service workers with young children, we document additional patterns of volatility that have not previously been visible: in particular, daily and weekly volatility in work hours. We show that this volatility requires workers aiming to maximize their earnings to set aside many more hours for work than they are actually paid for–on average, twice as many. We develop novel statistics to capture these forms of volatility and to describe their sources. Finally, we discuss the implications of these findings for both means-tested programs and earnings-linked tax credits, the two major forms of income support provided by the federal government to families with children.
Abstract: In the U.S., work opportunities for those with lower levels of formal education have moved in recent years toward service employment, and this concentration is especially strong among households with children. Even compared to other jobs for those without college degrees, service work is characterized by shorter tenure and less access to full-time hours, patterns that are visible in national data and are more pronounced for those with children. In novel data collected through daily text-message reports from hourly service workers with young children, we document additional patterns of volatility that have not previously been visible: in particular, daily and weekly volatility in work hours. We show that this volatility requires workers aiming to maximize their earnings to set aside many more hours for work than they are actually paid for–on average, twice as many. We develop novel statistics to capture these forms of volatility and to describe their sources. Finally, we discuss the implications of these findings for both means-tested programs and earnings-linked tax credits, the two major forms of income support provided by the federal government to families with children.