I am an
Assistant Professor of Economics and Education at Teachers College, Columbia University. My research focuses on information problems in human capital development and using 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 focuses on information problems in human capital development and using randomized controlled trials (RCTs) to find low-cost, scalable interventions that improve education outcomes.
Updated: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 impact of a desegregation court ruling on several medium-run outcomes.
This ruling mandates that seven school districts, which serve higher-income, predominantly-white families,
accept a group 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 10 percentage points.
This result is driven by greater attendance to two-year and public colleges and particularly for male students.
There is suggestive evidence male students are also more likely to vote.
In contrast, the offer to transfer increases the likelihood of arrest, most often for non-violent offenses.
This study examines the effect of information about tax credits for college using a sample of over
1 million students or prospective students in Texas. We sent emails and letters to students
that described tax credits for college and tracked college outcomes. We find that for all
three of our samples---already enrolled students, students who had previously applied to
college but were not currently enrolled, and rising high school seniors---that information
about tax credits for college did not affect reenrollment, application, and enrollment
respectively. We test whether effects vary according to information frames and find
that no treatment arms changed student outcomes. We discuss reasons why we found no
effect and insights into what attributes make low-cost information interventions effective.
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.
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.
This paper studies the ability to foster parent skills and resolve information problems as a means to improving student achievement.
We conducted a three-arm randomized control trial in which community-based organizations provided
regular information to families about their child's academic progress in one arm and supplemented
this with home visits on skills-based information in a separate arm. Math and English test scores
improved for the treatment arm with home visits. There are large effects on retention for both
groups during the year, though learning gains tend to accrue for students with average-and-above
baseline performance and students at the lower-end of the distribution appear marginally retained.
Research in Progress
Engaging Parents At Scale: Evidence from a Districtwide Automated Texting Experiment
Developing and testing a large-scale automated text-message alert system to inform parents about their child's academic progress.
Organizational Policy on Technology Adoption in Education:
Evidence from a Field Experiment (with Todd Rogers)
Testing how defaults affect short run and longer-run take up and 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.
Creating Moves to Opportunity (with Raj Chetty, Nathan Hendren, Lawrence Katz and Christopher Palmer)
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 child's education reduces teens' risky behaviors.