Professor Jorge Agüero’s article “(Incorrect) Perceived Returns and Strategic Behavior among Talented Low-Income College Graduates” has been accepted for publication in the AEA Papers and Proceedings.
(Incorrect) Perceived Returns and Strategic Behavior among Talented Low-Income College Graduates
Jorge M. Agüero, Francisco Galarza, and Gustavo Yamada
Job applicants use resumes to send signals to potential employers. Applicants are free to select the items that go in their resumes and are expected to include signals they perceive will help them achieve their goals and avoid those that they anticipate could hurt them. We show that 92% of beneficiaries of a highly selective scholarship for poor and talented students avoid listing this award when applying for jobs. This is consistent with beneficiaries perceiving a negative labor market return from sending that signal. A correspondence study shows instead that listing the scholarship increases call back rates by 20%.
Several large volatility matrix inference procedures have been developed, based on the latent factor model. They often assumed that there are a few of common factors, which can account for volatility dynamics. However, several studies have demonstrated the presence of local factors. In particular, when analyzing the global stock market, we often observe that nation-specific factors explain their own country’s volatility dynamics. To account for this, we propose the Double Principal Orthogonal complEment Thresholding (Double-POET) method, based on multi-level factor models, and also establish its asymptotic properties. Furthermore, we demonstrate the drawback of using the regular principal orthogonal component thresholding (POET) when the local factor structure exists. We also describe the blessing of dimensionality using Double-POET for local covariance matrix estimation. Finally, we investigate the performance of the Double-POET estimator in an out-of-sample portfolio allocation study using international stocks from 20 financial markets.
In this paper, they examine the effect of losing school mates or peers due to school choice. Specifically, in Charlotte-Mecklenburg county, they find that 5th grade students who have a 5th grade neighbor who applies for and wins a school choice lottery are substantially more likely to be arrested and incarcerated as a young adult. These increases in young adult arrests substantially outweigh the reduction in arrests that occur among the lottery winners, suggesting that school choice in this environment leads to an increase in crime.
The article, “The Evolving Impacts of COVID-19 on Gender Inequality in the U.S. Labor Market: The COVID Motherhood Penalty” co-authored by UConn Economics Professor Kenneth Couch, Robert Fairlie (Cal-Santa Cruz) and Huanan Xu (Indiana University South Bend) was selected as the Best Article published in Economic Inquiry in 2022.
Scheduling factors such as a visiting team playing a game back-to-back against a rested home team can affect the win probability of the teams for that game and potentially affect teams unevenly throughout the season. This study examines schedule inequity in the National Basketball Association (NBA) for the seasons 2000–01 through 2018–19. By schedule inequity, we mean the effect of a comprehensive set of schedule factors, other than opponents, on team success and how much these effects differ across teams. We use a logistic regression model and Monte Carlo simulations to identify schedule factor variables that influence the probability of the home team winning in each game (the teams playing are control variables) and construct schedule inequity measures. We evaluate these measures for each NBA season, trends in the measures over time, and the potential effectiveness of broad prescriptive approaches to reduce schedule inequity. We find that, although schedule equity has improved over time, schedule differences disproportionately affect team success measures. Moreover, we find that balancing the frequency of schedule variables across teams is a more effective method of mitigating schedule inequity than reducing the total frequency, although combining both methods is the most effective strategy.
Professor Steve Ross and UConn Ph.D. Graduates Jesse Kalinowski (Quinnipiac) and Matt Ross (Northeastern) recently published a paper in the Journal of Human Resources examining tests for racial profiling in police stops, showing that minority responses to perceived discrimination in stops (driving more slowly and safely) can substantially bias these tests away from finding discrimination.
Professor Oskar Harmon’s paper “Are Online Exams an Invitation to Cheat?”, co-authored with Dr. Lambrinos, is the 2nd most cited article of all time in the Journal of Economic Education, considering all articles published in the journal.
Abstract: In this study, the authors use data from two online courses in principles of economics to estimate a model that predicts exam scores from independent variables of student characteristics. In one course, the final exam was proctored, and in the other course, the final exam was not proctored. In both courses, the first three exams were unproctored. If no cheating took place, the authors expected the prediction model to have the same explanatory power for all exams, and, conversely, if cheating occurred in the unproctored exam, the explanatory power would be lower. Their findings are that both across and within class, variations in the R-squared statistic suggest that cheating was taking place when the exams were not proctored.
In this paper, Professor Zhao and his coauthors construct a unified objective measure of health status: the frailty index. Using this index, they propose and estimate a stochastic process for health dynamics over the life cycle accounting for mortality bias. Their health measure and dynamic process can be used to study the evolution of health over the life cycle and its economic implications.
Building on this work, Professor Zhao and his coauthors are currently working on a project that explores the evolution of health inequality over the life cycle and its implication for lifetime earnings inequality.
Title: COVID-19 and The Rise of Intimate Partner Violence
Abstract: Stay-at-home policies have been implemented worldwide to reduce the spread of the SARS-CoV-2 virus. However, there is a growing concern that such policies could increase violence against women. We find evidence in support of this critical concern. We focus on Peru, a country that imposed a strict nationwide lockdown starting in mid-March and where nearly 60% of women already experienced violence before COVID-19. Using administrative data on phone calls to the helpline for domestic violence (Línea 100), we find that the incidence rate of the calls increased by 48 percent between April and July 2020, with effects increasing over time. The rise in calls is found across all states and it is not driven by baseline characteristics, including previous prevalence of violence against women. These findings create the need to identify policies to mitigate the negative impact of stay-at-home orders on women’s safety.