Knowledge that Transforms

We propose a framework for value-added models that flexibly characterizes heterogeneous teacher productivity based on multidimensional student characteristics. We show that teacher effectiveness heavily depends on the specific attributes of their students. For example, the difference in value-added between well-matched and poorlymatched students for the average teacher is approximately 0.1 standard deviations in test scores. Notably, these matching effects are particularly pronounced among lowachieving students. In language arts, the standard deviation in teacher value-added is one-third larger for low-achieving students compared to high-achieving students.

We consider endogenous binary treatment with multiple binary instruments. We propose a novel limited monotonicity (LiM) assumption that is generally weaker than alternative monotonicity assumptions in the literature. We define and identify (under LiM) the combined compliers local average treatment effect (CC-LATE), which is arguably a more policy-relevant parameter than the weighted average of LATEs identified by two-stage least squares (TSLS), and is identified under more general conditions. Estimating the CC-LATE is trivial, equivalent to running TSLS with one constructed instrument on a subsample. We use our CC-LATE to empirically assess how knowledge of HIV status influences protective behaviors.

When should private companies allocate public resources? In our model, delegation is attractive when delay is costly, the impact of funds is similar across firms, and government and private objectives are aligned. We use novel firm-level survey data to measure heterogeneity in the impact of the Paycheck Protection Program and to assess whether banks targeted loans to high-impact firms. Banks did target loans to their most valuable pre-existing customers. However, we find that treatment effect heterogeneity is moderate, suggesting that delegation was likely superior from the government’s perspective to delaying loans to improve targeting.

Does the scientific community sanction sexual misconduct? Using a sample of scientists at U.S. universities involved in substantiated cases of sexual misconduct that became public, we find that their prior work is cited less after the allegations become known. The effect weakens with distance in the coauthorship network, suggesting that researchers primarily learn about misconduct through their peers. Among the closest peers, male authors react more strongly. In male-dominated fields, the effects on citations appear muted. Accused scientists are more likely to leave academic research, to move to non-university institutions, and to publish less.

There is significant interest in understanding labor market consequences of the opioid epidemic, but little is known about how opioid use affects on-the-job performance. We analyze the impact of opioid initiation on job performance using linked medical and personnel data for active-duty military members. Exploiting quasi-random assignment of patients to physicians in the emergency department, we find that military members assigned to high-intensity opioid prescribing physicians have a higher likelihood of long-term opioid use, are less likely to receive promotions, and are more likely to receive disciplinary actions and leave their jobs. Our results demonstrate productivity costs of opioid use.

We examine the causal impact of ideological education on students' political participation and career choices by exploiting China's staggered rollout of a high school curriculum reform that emphasized political indoctrination. Using nationally representative survey data on college students that the authors collected, we find that exposure to the new curriculum increases the likelihood of joining the Chinese Communist Party by 14% and raises the probability of securing state-sector jobs after graduation by 15%. These results highlight the powerful role of ideological education in shaping students' political alignments and career trajectories.

We provide experimental evidence that using body-worn cameras (BWCs) for police monitoring improves police-citizen interactions. In an intervention carried out in Brazil in 2018, we find that treated incidents show a 61.2% decrease in police use of force and a 47.0% reduction in adverse interactions, including handcuff use and arrests. The use of body-worn cameras also significantly improves the quality of police reporting. The rate of incomplete reports dropped by 5.9%, which is accompanied by a 69.2% increase in reported incidents of domestic violence. We explore various mechanisms that explain why BWCs work and show that the results are consistent with the police changing their behavior in the presence of cameras. Overall, results show that the use of body-worn cameras de-escalates conflicts.

We provide evidence that similar price effects occur from new multifamily rental housing on surrounding owner-occupied property values regardless of whether the development was subsidized. These effects were on average negative in higherincome communities, but became either non-distinguishable from zero or positive in higher-income communities with sufficient population density. These results imply that previous opposition to all new rental housing by homeowners is misguided as developments could raise property values in some higher-income neighborhoods.

Abused and neglected children are at extreme risk of school dropout, poor health, and destructive behaviours, yet evidence on interventions that prevent maltreatment and its harms is limited. We use a South Australian education reform to examine whether extending the school-leaving age from 16 to 17 improves maltreatment-related outcomes. Using administrative records and regression-discontinuity techniques, we find that the reform reduced first-time cases of maltreatment reported to Child Protection Services (CPS). Among adolescents with past CPS involvement, it also reduced emergency healthcare utilisation. Our findings suggest school attendance can improve child safety, with an incapacitation effect as the likely mechanism.

This study examines how individual spending behaviours change for different levels of experienced utility using a composite SWB indicator as a utility proxy and modelling expenditure behaviours through Engel curves across different utility regions. To perform the analysis, we use expenditure and SWB data for Italian residents in 2016 and estimate Engel curves through a non-parametric instrumental variable threshold regression approach. Our findings indicate that individual spending behaviours are characterized by distinct experienced utility functions, with respect to different goods' categories and durability, and corroborate the strict association between conspicuous consumption, social aspects of life, and well-being.