Date of Submission
Campus Only Senior Thesis
Bachelor of Arts
Professor Yaron Raviv
© 2021 Xinran Xing
This paper analyzes Google mobility data to investigate state-level mobility trends in the United States during the COVID-19 pandemic. Drawing from graphical and empirical evidence, we find statistically significant mobility reductions beyond what has been done voluntarily by the public across location categories after enacting statewide stay-at-home orders. We notice that implementing the order has a more significant impact than lifting the order. Moreover, we observe differential effects for states’ responses to stay-at-home orders. The socioeconomic characteristics of the state can partly explain such variations. Our results show that states with a larger share of the senior population, a larger share of the population with bachelor degrees, a higher median household income, a smaller household size, and a lower rate of internet access are more responsive to stay-at-home orders. The findings bear important policy implications in designing reopening schemes and future social distancing mandates to combat public health crises.
Xing, Xinran, "Did Stay-at-Home Orders Work? Understanding State-Level Mobility Trends in the United States During the COVID-19 Pandemic" (2021). CMC Senior Theses. 2707.
This thesis is restricted to the Claremont Colleges current faculty, students, and staff.