Isaac M. Opper is an economist who uses a wide range of empirical techniques to shed light on important policy questions. This includes applying existing statistical approaches to new research questions, as well as developing new econometric methods. Topics he has studied include teacher personnel policies and the measurement of teacher effectiveness, peer effects and their consequences for optimal allocation of individuals to job training programs, natural disasters and their impact on human capital and the local labor market, the New York City Community School Initiative, and training and education in the Army. Opper is also a professor at the Pardee RAND Graduate School. He graduated with a Ph.D. in economics from Stanford University.
Isaac Opper
EdWorkingPapers
Leading Indicators of Long-Term Success in Community Schools: Evidence from New York City
Community schools offer supports such as health and social services, extended school days, and family education, to improve the performance of students whose learning may be disrupted by challenges related to poverty. In 2015, the New York City Community Schools Initiative was implemented in… more →
A Global Regression Discontinuity Design: Theory and Application to Grade Retention Policies
We use a marginal treatment effect (MTE) representation of a fuzzy regression discontinuity setting to propose a novel estimator. The estimator can be thought of as extrapolating the traditional fuzzy regression discontinuity estimate or as an observational study that adjusts for endogenous… more →
Screening with Multitasking: Theory and Empirical Evidence from Teacher Tenure Reform
What happens when employers screen their employees but only observe a subset of output? We specify a model with heterogeneous employees and show that their response to the screening affects output in both the probationary period and the post-probationary period. The post-probationary impact is… more →
Measuring and Summarizing the Multiple Dimensions of Teacher Effectiveness
There is an emerging consensus that teachers impact multiple student outcomes, but it remains unclear how to measure and summarize the multiple dimensions of teacher effectiveness into simple metrics for research or personnel decisions. We present a multidimensional empirical Bayes framework and… more →
The Impact of Natural Disasters on Human Capital
We show that natural disasters affect a region’s aggregate human capital through at least four channels. In addition to causing out-migration, natural disasters reduce student achievement, lower high school graduation rates, and decrease post-secondary attendance. We estimate that disasters that… more →
Optimal Allocation of Seats in the Presence of Peer Effects: Evidence from a Job Training Program
We consider the case in which the number of seats in a program is limited, such as a job training program or a supplemental tutoring program, and explore the implications that peer effects have for which individuals should be assigned to the limited seats. In the frequently-studied case in which… more →
Improving Average Treatment Effect Estimates in Small-Scale Randomized Controlled Trials
Researchers often include covariates when they analyze the results of randomized controlled trials (RCTs), valuing the increased precision of the estimates over the potential of inducing small-sample bias when doing so. In this paper, we develop a sufficient condition which ensures that the… more →