Rustin’s Legacy of Civil Resistance in the US
Civil resistance is a form of struggle in which unarmed civilians mobilize using a series of coordinated methods like protest, non-cooperation, and the building of alternative institutions to confront
Research
Globalization and Factor Income Taxation
Exploiting a new global macro-historical database of effective tax rates, we uncover an intriguing pro-tax-capacity effect of international trade.
Mitigating Included - and Omitted - Variable Bias in Estimates of Disparate Impact
In studies of discrimination, one popular strategy is to estimate disparities after adjusting for observed covariates, typically with a regression model.
China Wants to Run Your Internet
For the last two centuries, great powers—both nations and their associated firms—have fiercely competed to set the technical standards for leading technologies.
Slavery, Politics, and Causality
How has slavery shaped the politics of the United States over the last century and a half since emancipation?
On the Role of Solar Geoengineering in Combatting Climate Change: Harvard University vs. Indigenous Voices
In 2021 the Saami Council asked Harvard to suspend research related to stratospheric aerosol injections, a form of geoengineering.
Glass Walls: Experimental Evidence on Constraints faced by Women in Accessing Valuable Skilling Opportunities
Experimental evidence from Pakistan shows distance poses a large and discontinuous access constraint: women with village-based training centers are four times more likely to access valued skilling opp
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
The advent of large language models (LLMs) and their adoption by the legal community has given rise to the question: what types of legal reasoning can LLMs perform?
Do Ordeals Work for Selection Markets? Evidence from Health Insurance Auto-Enrollment
Are application hassles, or “ordeals,” an effective way to limit public program enrollment?
The Measure and Mismeasure of Fairness
The field of fair machine learning aims to ensure that decisions guided by algorithms are equitable. Over the last decade, several formal, mathematical definitions of fairness have gained prominence.
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