Joshua Goodman

Institution: Boston University

I'm an Associate Professor of Education and Economics at Boston University, where I work as an applied microeconomist on labor economics and education policy. My research focuses on quasi-experimental estimation of the impacts of educational interventions. My overarching goal is to provide rigorous quantitative evidence that illuminates how schools and labor markets work, particularly with respect to postsecondary and STEM education.

My work has been published in peer-reviewed outlets such as the Quarterly Journal of Economics, AEJ: Applied Economics, AEJ: Economic Policy, Journal of Labor Economics, Journal of Public Economics, Journal of Human Resources and the Journal of Economic Perspectives. It has been cited in multiple White House reports and featured by the New York Times, the Washington Post, and National Public Radio. I serve as co-editor of the Journal of Policy Analysis and Management (JPAM) and am a research fellow of NBER and CESifo.

Prior to joining BU, I was an Associate Professor of Economics at Brandeis University and before that an Associate Professor of Public Policy at Harvard's Kennedy School of Government. I have a B.A. in physics from Harvard, an M.Phil. in education from Cambridge University, and a Ph.D. in economics from Columbia. Prior to starting my Ph.D., I was a public high school math teacher in Watertown, MA.


Tareena Musaddiq, Kevin Stange, Andrew Bacher-Hicks, Joshua Goodman.

The Covid-19 pandemic drastically disrupted the functioning of U.S. public schools, potentially changing the relative appeal of alternatives such as homeschooling and private schools. Using longitudinal student-level administrative data from Michigan and nationally representative data from the Census Household Pulse Survey, we show how the pandemic affected families’ choices of school sector. We document four central facts. First, public school enrollment declined noticeably in fall 2020, with about 3 percent of Michigan students and 10 percent of kindergartners using other options. Second, most of this was driven by homeschooling rates jumping substantially, driven largely by families with children in elementary school. Third, homeschooling increased more where schools provided in-person instruction while private schooling increased more where instruction was remote, suggesting heterogeneity in parental concerns about children’s physical health and instructional quality. Fourth, kindergarten declines were highest among low income and Black families while declines in other grades were highest among higher income and White families, highlighting important heterogeneity by students’ existing attachment to public schools. Our results shed light on how families make schooling decisions and imply potential longer-run disruptions to public schools in the form of decreased enrollment and funding, changed composition of the student body, and increased size of the next kindergarten cohort.

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Andrew Bacher-Hicks, Joshua Goodman, Christine Mulhern.

We use high frequency internet search data to study in real time how US households sought out online learning resources as schools closed due to the Covid-19 pandemic. By April 2020, nationwide search intensity for both school- and parent-centered online learning resources had roughly doubled relative to baseline. Areas of the country with higher income, better internet access and fewer rural schools saw substantially larger increases in search intensity. The pandemic will likely widen achievement gaps along these dimensions given schools' and parents' differing engagement with online resources to compensate for lost school-based learning time. Accounting for such differences and promoting more equitable access to online learning could improve the effectiveness of education policy responses to the pandemic. The public availability of internet search data allows our analyses to be updated when schools reopen and to be replicated in other countries.

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Adam Altmejd, Andres Barrios-Fernandez, Marin Drlje, Joshua Goodman, Michael Hurwitz, Dejan Kovac, Christine Mulhern, Christopher Neilson, Jonathan Smith.

Family and social networks are widely believed to influence important life decisions but identifying their causal effects is notoriously difficult. Using admissions thresholds that directly affect older but not younger siblings’ college options, we present evidence from the United States, Chile, Sweden and Croatia that older siblings’ college and major choices can significantly influence their younger siblings’ college and major choices. On the extensive margin, an older sibling’s enrollment in a better college increases a younger sibling’s probability of enrolling in college at all, especially for families with low predicted probabilities of enrollment. On the intensive margin, an older sibling’s choice of college or major increases the probability that a younger sibling applies to and enrolls in that same college or major. Spillovers in major choice are stronger when older siblings enroll and succeed in more selective and higher-earning majors. The observed spillovers are not well-explained by price, income, proximity or legacy effects, but are most consistent with older siblings transmitting otherwise unavailable information about the college experience and its potential returns. The importance of such personally salient information may partly explain persistent differences in college-going rates by geography, income, and other determinants of social networks.

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Joshua Goodman, Oded Gurantz, Jonathan Smith.

Only half of SAT-takers retake the exam, with even lower retake rates among low income and underrepresented minority (URM) students. We exploit discontinuous jumps in retake probabilities at multiples of 100, driven by left-digit bias, to estimate retaking’s causal effects. Retaking substantially improves SAT scores and increases four-year college enrollment rates, particularly for low income and URM students. Eliminating disparities in retake rates could close up to 10 percent of the income-based gap and up to seven percent of the race-based gap in four-year college enrollment rates of high school graduates.

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Joshua Goodman, Michael Hurwitz, Jisung Park, Jonathan Smith.

We demonstrate that heat inhibits learning and that school air-conditioning may mitigate this effect. Student fixed effects models using 10 million PSAT-retakers show hotter school days in years before the test reduce scores, with extreme heat being particularly damaging. Weekend and summer temperature has little impact, suggesting heat directly disrupts learning time. New nationwide, school-level measures of air-conditioning penetration suggest patterns consistent with such infrastructure largely offsetting heat’s effects. Without air-conditioning, a 1°F hotter school year reduces that year’s learning by one percent. Hot school days disproportionately impact minority students, accounting for roughly five percent of the racial achievement gap.

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