CSMGEP 2025 Dissertation Session
Paper Session
Friday, Jan. 3, 2025 8:00 AM - 10:00 AM (PST)
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Chairs:
Isaiah Andrews, Massachusetts Institute of Technology - Luisa Blanco, Pepperdine University
Policy Shocks in the Market for Stolen Data
Abstract
By using the internet we have each created digital identities consisting of hundreds of data points including emails, passwords, and other personal information. Unfortunately, the information comprising these identities is often illegally accessed and taken by malicious actors who have formed markets to facilitate the trade of stolen data. As with more common markets, this one is subject to policy shocks that influence the quantity and quality of the products offered. This paper presents the first analysis of an input shock—the General Data Protection Regulation (GDPR)—on the market for stolen data. I find that although the GDPR is associated with a large decrease in the number of data packages available, there is no change in the total amount of data online.Overpolicing Black Schools: How Law Enforcement Credentials and Inadequate SRO Training Policies Perpetuate Black-White Gaps in School Exclusion
Abstract
I present novel findings on the impact of statewide selection and training (S&T) mandates for school resource officers (SROs) on Black-White disparities in school exclusion. The study analyzes data from the 2013-14 through 2020-21 Civil Rights Data Collection and supplementary sources, encompassing all United States schools. The design leverages state and time variation in SRO S&T statute adoption between 2014-15 and 2020-21. Group-time average treatment effects on the treated are estimated using doubly robust difference-in-difference estimators, comparing Black-White exclusion disparities in middle and high schools with SROs between treated and untreated schools. The results indicate that SRO S&T policies do not effectively reduce racial disparities in exclusionary discipline. This is the first paper to assess whether individualist or structuralist mechanisms better explain the main result and propose a structuralist explanation of systemic discrimination as a mechanism for why SRO S&T is ineffective in reducing Black-White gaps in school exclusion.Gender Bias and Labor Market Outcomes: Evidence From an Online Tutor Platform
Abstract
Many educator markets feature significant gender imbalance. The majority of k-12 teachers are female, while most university professors are male. Academic subjects can also be stereotypically associated with a particular gender, for example men and math and women and English/language arts. This paper explores the interaction between educator gender, student gender, and academic subject. On an online freelance tutor platform, there is no gender rate gap among English tutors. However, women charge 7% higher rates than men when the subject is math. Another measure, the number of 5-star ratings per hour taught, yields similar findings, with the relative performance of female tutors being better in math than English. Suggestive evidence implies that these results, which seem to go against gender stereotypes, can be explained by a combination of gender imbalance among math tutors (only 1/3 are women), and math students having particularly strong preferences for matching the gender of his or her tutor. As a whole, the findings suggest that the gendered nature of academic subjects has the ability to impact educator labor market outcomes.Discussant(s)
Aisha Yusuf
,
Allegheny College
Samuel Goldberg
,
Stanford University
Dania Francis
,
University of Massachusetts-Boston
Juanna Joensen
,
University of Chicago
JEL Classifications
- J1 - Demographic Economics
- K4 - Legal Procedure, the Legal System, and Illegal Behavior