This project explores the relationship between consumption inequality and innovation. It asks whether economic inequality affects the kind of innovation that takes place and who benefits from that innovation. Using scanner data, the researcher’s preliminary findings show that the difference in inflation rates across the income distribution can be accurately measured only with product-level data, not by simply reweighting aggregate price series based on income-specific spending shares, as the U.S. Bureau of Labor Statistics does. The findings could therefore have methodological as well as policy implications.

Innovation and entrepreneurship have long been strengths of the U.S. economy. But the experiences of entrepreneurs vary dramatically. In particular, race, ethnicity, and gender may play a significant role in shaping these experiences. This project will look at the differences among businesses owned by individuals of different racial and ethnic groups, as well as women-owned businesses. The researchers will look at business survival, business size, profits, and innovation activities. They will also seek to understand how these variations interact with and are influenced by the regional characteristics in which the businesses operate. Understanding the underlying factors that influence successful entrepreneurism is key for boosting innovation and future economic growth.

This research will look at how regional variations in labor market regulations influence the types of businesses that locate in those regions, and the employment practices of those businesses. The analysis will focus on San Francisco, which has relatively comprehensive locally enforced labor standards, and the North Carolina Research Triangle, which lacks strong labor standards. This research project seeks to understand how locally-enacted labor standards that aim to reduce inequality reshape the structure of work in low-wage industries, with a specific focus on the restaurant industry.

This research will investigate the interaction of business time-scheduling policies and changing family structures. Unpredictable work hours, more common among low-wage workers, may reduce worker productivity and thus economic growth. In conjunction with at least one corporate partner, the researchers will test the impact of effective scheduling systems on employees via a controlled intervention. They will divide workers into groups, with certain groups receiving greater control over their schedules, and then examine the resulting absenteeism and attrition rates for each group. The research will test the hypothesis that an improved work-life fit will lead to greater job satisfaction for hourly workers, who will in turn be less likely to leave their jobs when family obligations interfere with their schedule, and ultimately will result in enhanced economic security for these workers. At the same time, the research will explore whether employers who implement scheduling practices that improve work-life fit are able to retain experienced employees who are more productive than newly-hired employees.