Recent Research.

Randomized Experiments in Continuous Time: A LATE for Continuous-Time Program Evaluations

Development Economics X Paper Model 22

Kweku Opoku-Agyemang

Intertemporal Selves, Self-Regulation, and Task Allocation

Development Economics X Paper Model 24

Kweku Opoku-Agyemang

Randomized Controlled Trials on Distribution Functions

Development Economics X Paper Model 15

Kweku Opoku-Agyemang

Coloring Graphs to Estimate Causal Effects: A Diagonal Ramsey Approach

Development Economics X Paper Model 21

Kweku Opoku-Agyemang

Commitment Trials: Psychological Selective Trials for Randomized Experiments

Development Economics X Paper Model 16

Kweku Opoku-Agyemang

Credibility Graphs for Missing Data in Program Evaluations

Development Economics X Paper Model 14

Kweku Opoku-Agyemang

Differences-in-Differences on Distributional Functions

Development Economics X Paper Model 10

Kweku Opoku-Agyemang

Distributional Instrumental Variables: Identification and Estimation

Development Economics X Paper Model 12

Kweku Opoku-Agyemang

The New New Labor Economics of Migration: Migrants, Host Countries and Endogenous Immigration Policy

Development Economics X Paper Model 17

Kweku Opoku-Agyemang

Obliquely Reflected Brownian Motion in Nonsmooth Domains with Fractional and Subfractional Noise: A Transportation Systems Framework

Development Economics X Paper Model 20

Kweku Opoku-Agyemang

Supply Chain Self-Control

Development Economics X Paper Model 8

Kweku Opoku-Agyemang

Research Highlights.

Predicting Petroleum Fields in Ethnic Regions with Social and Economic Data: Evidence from Africa (Poster)

Kweku Opoku-Agyemang

Where the prospect of resource-related conflict becomes increasingly likely, interest in supplementing resource discovery and development with social impact responses will almost certainly rise. A deep learning model trained on satellite data, gender and other socioeconomic data from 300,000 African households predict oil-rich ethnic areas for social science to inform firms and policy.

Computational Ethics

Edmond Awad, Sydney Levine, Michael Anderson, Susan Leigh Anderson, Vincent Conitzer, M. J. Crockett, Jim A.C. Everett, Theodoros Evgeniou, Alison Gopnik, Julian C. Jamison, Tae Wan Kim, S. Matthew Liao, Michelle N. Meyer, John Mikhail, Kweku Opoku-Agyemang, Jana Schaich Borg, Juliana Schroeder, Walter Sinnott-Armstrong, Marija Slavkovik, Josh B. Tenenbaum

Technological advances are enabling roles for machines that present novel ethical challenges. The study of ‘AI ethics’ has emerged to confront these challenges, and connects perspectives from philosophy, computer science, law, and economics. Less represented in these interdisciplinary efforts is the perspective of cognitive science. We propose a framework – computational ethics – that specifies how the ethical challenges of AI can be partially addressed by incorporating the study of human moral decision-making. The driver of this framework is a computational version of reflective equilibrium (RE), an approach that seeks coherence between considered judgments and governing principles. The framework has two goals: (i) to inform the engineering of ethical AI systems, and (ii) to characterize human moral judgment and decision-making in computational terms. Working jointly towards these two goals will create the opportunity to integrate diverse research questions, bring together multiple academic communities, uncover new interdisciplinary research topics, and shed light on centuries-old philosophical questions.

Coming Soon

Development Economics X Paper Models


Are Sports Productive? Boxing Championships and Farming Spillovers in Ghana

Are sports productive for Ghanaian farmers?

Coming to America: The Economic and Political Impact of African Immigration to the United States

What is the historical impact of African immigration to the United States?


The New New Political Economy

A new political economy for the next generation.

Markets and Information Imperfections

Marketing as market imperfections.


Customer Service Cultures in Organizations

Organizational cultural change.

Development Economics Operations

Development economics for the next generation.