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Item Childhood Bully Victimization and Adverse Life Outcomes(2023-10) Adhikary, Satabdi; Tennekoon, Vidhura; Royalty, Anne; Morrison, Gwendolyn; Ottoni-Wilhelm, Mark; Xu, HuipingBullying is widely prevalent in the US. Although anti-bullying laws have been implemented across the country since 1999, bullying prevalence rates remain high. Research suggests that being a bully or a bully victim or both makes an individual more likely to experience worse physical, mental, and financial health. This dissertation comprises of three essays examining the adverse effects of bully victimization on life outcomes. The first essay examines, using Panel Study of Income Dynamics (PSID) data, how being a victim of bullying affects sleep hours of an individual over the years. Results suggest that being a bully victim during teenage years reduces sleep hours, both contemporaneously and during early adulthood. The second essay uses the National Longitudinal Survey of Youth 1997 (NLSY97) data to examine how repeated bully victimization experiences in childhood and teenage years affect future labor market outcomes. A standard Mincer wage equation is used in a Heckman selection model and Inverse Probability Weighting (IPW) model to derive the estimates. Results indicate that being repeatedly bullied in teenage years reduces future earnings, mainly through reduced wage rates. The third essay, using NLSY97, looks at the effect of repeated bully victimization on wealth accumulation during early adult ages in difference-in-difference type framework. Measures of wealth accumulation include net household worth and its components, financial and non-financial assets, and financial debt at 20, 25, 30 and 35 years of age. Results indicate that the bully victims accumulate fewer net assets during the ages 20-35 than their non-victimized counterparts.Item Effects of social distancing policy on labor market outcomes(Wiley, 2023) Gupta, Sumedha; Montenovo, Laura; Nguyen, Thuy; Lozano-Rojas, Felipe; Schmutte, Ian; Simon, Kosali; Weinberg, Bruce A.; Wing, Coady; Economics, School of Liberal ArtsUS workers receive unemployment benefits if they lose their job, but not for reduced working hours. In alignment with the benefits incentives, we find that the labor market responded to COVID-19 and related closure-policies mostly on the extensive (12 pp outright job loss) margin. Exploiting timing variation in state closure-policies, difference-in-differences (DiD) estimates show, between March 12 and April 12, 2020, employment rate fell by 1.7 pp for every 10 extra days of state stay-at-home orders (SAH), with little effect on hours worked/earnings among those employed. Forty percentage of the unemployment was due to a nationwide shock, rest due to social-distancing policies, particularly among "non-essential" workers.