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Category Archives: D91

Does Media Coverage of Sexual Assault Cases Cause Victims to Go to the Police? Evidence from FBI Data and Google Trends

By Harry Elworthy

This paper investigates the effect that national news coverage of prominent sexual assaults has on the reporting decisions of sexual assault victims. Estimates are based on time series data of reports made to police stations in the US from 2008 to 2016 and Google Trends data of search volume, along with an identification strategy that uses a number of individual high profile sexual assault allegations and related events as instruments. By removing assaults that occurred on the day that they were reported, I estimate the effect of coverage only on the reporting of assaults, and not on assaults themselves. A significant positive effect of news coverage on sexual assault reporting is found using several specifications. Back-of-the-envelope calculations suggest that there were between 31 and 121 additional reports of sexual assault for each of the 38 high profile events captured. No evidence is found to suggest that these additional reports of sexual assault have different arrest rates to other reports, indicating that there are not a significant number of false reports. This paper adds to current literature on the sexual assault reporting decision by considering the effect of news coverage and by using different methods of inference to previous papers.

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Advisor: Professor Patrick Bayer | JEL Codes: D91, J16, K42, L86, Z13

The Effects of Prevention and Treatment Interventions in a Microeconomic Model of HIV Transmission

By Allison Stashko

A rational choice-based model for sexual transmission of HIV demonstrates the behavioral and epidemiological effects of public health interventions. Susceptible individuals choose to protect or expose, both responding to and determining HIV prevalence. Interventions are modeled as exogenous shocks to the cost of protection, treatment coverage, and treatment quality. A prevention intervention is more effective when infected individuals are better off. Specifically, treatment interventions increase the elasticity of behavioral change with respect to the cost of protection. Complementary effects between different types of interventions are important for finding an optimal public health HIV strategy.

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Advisor: Curtis Taylor | JEL Codes: D61, D69, D91 | Tagged: Epidemiology, HIV/AIDS, Microeconomics

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