Submitted Papers

Explainable AI Helps Bridge the AI Skills Gap: Evidence from a Large Bank (with Selina Carter, 2022)
Revising for submission to Information Systems Research

Whom Should Antipiracy Enforcement Actions Target? Evidence from the Mega filmes HD Shutdown in Brazil (with Brett Danaher, 2020)
Revising for submission to Journal of Management Information Systems

Publications in Peer-Reviewed Journals

How APIs Create Growth by Inverting the Firm (with Seth Benzell & Marshall Van Alstyne, 2022), Forthcoming, Management Science

Hybrid U-Net: Semantic segmentation of high-resolution satellite images to detect war destruction (with Shima Nabiee, Matthew Harding, and Nader Bagherzadeh, 2022), Machine Learning with Applications, 9, 100381.

Sweet Diversity: Overseas Trade and Gains from Variety after 1492 (with Joachim Voth, 2022), Explorations in Economic History, 101468.

Car accidents, smartphone adoption and 3G coverage (with Bree Lang & Matthew Lang, 2022), Journal of Economic Behavior & Organization, 196, 278-293.

Poverty from Space: Using High Resolution Satellite Imagery for Estimating Economic Well-being (with Ryan Engstrom & David Newhouse, 2021), The World Bank Economic Review; lhab015, https://doi.org/10.1093/wber/lhab015

Analyzing Conflict From Space: Identification of Physical Destruction During the Syrian Civil War with Artificial Intelligence (with Hannes Mueller, Andre Groger, Andrea Matranga, & Joan Serrat, 2021), Proceedings of the National Academy of Sciences, June 8, 2021 118 (23) e2025400118; https://doi.org/10.1073/pnas.2025400118

Open data for algorithms: mapping poverty in Belize using open satellite derived features and machine learning (with Ryan Engstrom & Michael Mann, 2020), Information Technology for Development, 1-30.

The Effect of Piracy Website Blocking on Consumer Behavior (with Brett Danaher, Michael D. Smith, & Rahul Telang R., 2020), MIS Quarterly, 44:2

Big Data in Economics (with Matthew Harding, 2018), IZA World of Labor

Poverty Mapping Using Convolutional Neural Networks Trained on High and Medium Resolution Satellite Images, With an Application in Mexico (with Boris Babenko, David Newhouse, Anusha Ramakrishnan, & Thomas Swartz), Neural Information Processing Systems Workshop on Machine Learning for the Developing World (NeurIPS 2017)

Historical Health Conditions in Major US Cities: The HUE Data Set (with Brian Bettenhausen, Eric Hanss, & Carlos Villarreal, 2014), Historical Methods, 47: 67-80.

Work in Progress

Do Startups Invert? API Networks and Startup Exits (with Seth Benzell & Marshall Van Alstyne)

A Scalable Solution to the Facility Location Problem in Data Poor Environments (with Luis Alberro, Joshua Anderson, Tina George, & Kushal Kumar Reddy, 2022)

Policy Reports

Where are the unbanked in Belize? Using Machine Learning small area estimation to improve Financial Inclusion geographic targeting (with Lucia Martin Rivero & Janelle Leslie, May, 2021), Inter-American Development Bank Monograph, May 2021 http://dx.doi.org/10.18235/0003381

Mapping Income Poverty in Belize Using satellite Features and Machine Learning (with Ryan Engstrom, Michael Mann, Alejandra Mejia, & Lucia Martin Rivero, May, 2020), Inter-American Development Bank Monograph, May 2020 http://dx.doi.org/10.18235/0002345

Resting Working Papers

Unintended Consequences of the African Growth and Opportunity Act: The Role of Trade Diversion and Structural Change (with Klaus-Peter Hellwig)
[draft available upon request]

Robust determinants of Bilateral Flows (with Marianne Baxter)
[latest draft] [slides]

Building a better model: Variable selection to predict poverty in Pakistan and Sri Lanka (with Marium Afzal and David Newhouse)
[latest draft]