I am an
Assistant Professor of Economics and Education at Teachers College, Columbia University. My research uses randomized controlled trials (RCTs) to find low-cost, scalable interventions that improve education outcomes.
I am an Assistant Professor of Economics and Education at Teachers College, Columbia University. My research uses randomized controlled trials (RCTs) to find low-cost, scalable interventions that improve education outcomes.
Parent-Child Information Frictions and Human Capital Investment: Evidence from a Field Experiment
Investment (Revise and Resubmit, Journal of Political Economy)
This paper uses a field experiment to answer how information frictions between parents
and their children affect the inputs to human capital formation and how much reducing
these frictions can improve student achievement. I model the interaction between
parents and their child as a persuasion game with monitoring and incentives. I
show that parents have upwardly-biased beliefs about their child's effort, which
is associated with lower performance. In Los Angeles, a random sample of parents
was provided detailed information about their child's academic progress. More
information allows parents to induce more effort
from their children, which translates into significant gains in achievement.
However, additional information also changes parents' beliefs about their
child's effort, which spurs further parental monitoring. Relative to other
interventions, additional information to parents potentially produces
gains in achievement at a low cost.
Successful Schools and Risky Behaviors Among
(forthcoming, Pediatrics. with Mitchell Wong, Karen Coller, Rebecca Dudovitz, David Kennedy, Richard Buddin, Martin Shapiro, Sheryl Kataoka, Arleen Brown, Chi Hong Tseng, and Paul Chung)
This paper studies the long-run impact of a court-ordered desegregation ruling on education outcomes.
This ruling mandates that seven school districts, which serve higher-income, predominantly-white families,
accept a fixed number of minority elementary school students each year who apply to transfer from a nearby,
predominantly minority school district. The fixed number of slots are allocated to families via lottery.
The offer to transfer increases the number of students who enroll in college by 7 percentage points.
This result is driven by greater attendance to two-year and public colleges, though there are substantial
heterogeneous effects. Effects are substantially larger for Black and male students.
The publication of performance ratings has ambiguous implications for performance. This paper uses school-district data and discontinuities in publication to study the effects of publically rating teachers. Relative to unpublished teachers, we find that high-performing students sort into classrooms with highly-rated teachers. Conditional on publication, ratings labels induce sorting as well as teacher attrition: low-rated teachers teach lower-performing students and are more likely to leave the district in subsequent years relative to higher-rated teachers. There is no effect of publication on test scores and heterogeneous effects by ratings labels that may increase achievement gaps between low and high performing students.
Technology Adoption in Education: Usage, Spillovers and Student Achievement
Previous research shows that that providing detailed information to parents about
their child's academic performance can significantly improve student achievement.
Many school districts accomplish this at scale via technology that places student
information online, but the adoption of this technology by parents is unknown.
This paper uses data from a Learning Management System operating in several
hundred schools and a two-stage experiment across 59 schools to study the
adoption of this technology by parents along extensive and intensive margins,
as well as spillovers and effects on student outcomes. A quarter of parents
ever use this technology; adoption follows an S-shape; significant spillovers
occur along intensive but not extensive margins; and student grades improve as a result.
Research in Progress
The Impact of Tax Credit and Financial Aid
Information on College Outcomes: Evidence from a Large-Scale
Field Experiment (with Jeff Denning, Day Manoli, and Nick Turner)
An RCT designed to improve college enrollment and persistence for 200,000+ students in Texas by providing and re-framing education tax benefit and FAFSA information via the public-college application platform in the state of Texas.
The Effects of Defaults on Technology Adoption and Efficacy:
Evidence from a Field Experiment (with Todd Rogers)
Testing how defaults affect the take up and the efficacy of an automated-text message system alerting parents to their child's missing assignments, grades and absences.
Does Information on School Quality Impact Residential Choice? Evidence from a Nation-wide Field Experiment (with Eric Chan, Matt Hill and Heather Schwartz)
A nationwide-RCT adding school quality information onto low-income housing rental websites and adjusting default search frames to help 10,000+ families move to areas with better schools.
Engaging Parents as a Means to Address Educational and Health Behavioral Outcomes: Evidence from a Field Experiment (with Rebecca Dudovitz, Anne Escaron and Mitchell Wong)
Exploring whether engaging parents in their chid's education reduces teens' risky behaviors.