MIT Press journals contributors win Nobel Prize in Economic Sciences

MIT economist Joshua Angrist shares the prestigious award alongside other frequent MIT Press journals contributors, David Card and Guido Imbens

We are thrilled that the 2021 Nobel Prize in Economic Sciences has been awarded to frequent MIT Press journals contributors David Card, Guido Imbens, and Joshua Angrist. The Royal Swedish Academy of Sciences announced that this year’s award honors Angrist and Imbens “for their methodological contributions to the analysis of causal relationships,” and Card for “his empirical contributions to labor economics.” Angrist, a labor economist at MIT, told MIT News that he was “overwhelmed” by the announcement, adding that he felt “especially lucky to be sharing this honor with David Card and Guido Imbens.”

All three winners have made frequent contributions over the years to MIT Press journals, in particular The Review of Economics and Statistics. To honor their achievement, we are sharing their work published in our journals below.


Joshua Angrist:

Causal Effects of Monetary Shocks: Semiparametric Conditional Independence Tests with a Multinomial Propensity Score (The Review of Economics and Statistics, 2011)

Rural Windfall or a New Resource Curse? Coca, Income, and Civil Conflict in Colombia (The Review of Economics and Statistics, 2008)

When to Control for Covariates? Panel Asymptotics for Estimates of Treatment Effects (The Review of Economics and Statistics, 2004)

David Card:

Measuring the Effect of Student Loans on College Persistence (Education Finance & Policy, 2021)

What Do Editors Maximize? Evidence from Four Economics Journals (The Review of Economics and Statistics, 2020)

Peer Effects and Multiple Equilibria in the Risky Behavior of Friends (The Review of Economics and Statistics, 2013)

Pension Plan Characteristics and Framing Effects in Employee Savings Behavior (The Review of Economics and Statistics, 2011)

Does Voting Technology Affect Election Outcomes? Touch-screen Voting and the 2004 Presidential Election (The Review of Economics and Statistics, 2007)

Using Discontinuous Eligibility Rules to Identify the Effects of the Federal Medicaid Expansions on Low-Income Children (The Review of Economics and Statistics, 2004)

Guido Imbens:

Optimized Regression Discontinuity Designs (The Review of Economics and Statistics, 2019)

Robust Standard Errors in Small Samples: Some Practical Advice (The Review of Economics and Statistics, 2016)

Nonparametric Tests for Treatment Effect Heterogeneity (The Review of Economics and Statistics, 2008)

Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review (The Review of Economics and Statistics, 2004)

Imposing Moment Restrictions from Auxiliary Data by Weighting (The Review of Economics and Statistics, 1999)


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