Papers Under Review
- Whom Should Anti-Piracy Enforcement Actions Target? Evidence from the MegafilmesHD Shutdown in Brazil, with Brett Danaher.
- Under review at Information Systems Research
- The Paradox of Openness: Exposure vs. Efficiency of APIs, with Seth Benzell, Guillermo Lagarda Cuervas, and Marshall Van Alstyne.
- Major revisions requested, Management Science
- Digitally Distracted at the Wheel: Myopic Smartphone Use and Car Accidents, with Bree Lang and Matt Lang.
- Under review
- Sweet Diversity: Overseas Trade and Gains from Variety after 1492, with Hans-Joachim Voth.
- 2nd round revisions requested, Explorations in Economic History
Publications in Peer-Reviewed Journals
- (6) Monitoring War Destruction from Space: A Machine Learning Approach, with Andre Groger, Andrea Matranga and Hannes Mueller, Accepted, Proceedings of the National Academy of Sciences
- Poverty from Space: Using High Resolution Satellite Imagery for Estimating Economic Well-being, with Ryan Engstrom and David Newhouse, Accepted, World Bank Economic Review
- [slides] [Press: Brookings, Bloomberg, Atlantic City Lab, Fast Company, Borgen Magazine]
- (4) Open Data for Algorithms: Mapping Poverty in Belize Using Openly Available Satellite Features and Machine Learning, with Ryan Engstrom and Mike Mann. Forthcoming, Information Technology for Development
- (3) Brett Danaher, Jonathan Hersh, Michael Smith, and Rahul Telang, The Effect of Piracy Website Blocking on Consumer Behavior, (2020), MIS Quarterly
- (2) Matthew Harding and Jonathan Hersh. Big Data in Economics (2018), IZA World of Labor
- (1) Brian Bettenhausen, Eric Hanss, Jonathan Hersh, and Carlos Villarreal. Historical Health Conditions in Major US Cities: The HUE Data Set Historical Methods, (2014) 47: 67-80.
Peer-Reviewed Conference Proceedings
- 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, and Tom Swartz) Proceedings of the Neural Information Processing Systems 2017.
- Engstrom, R., Newhouse, D., Haldavanekar, V., Copenhaver, A., & Hersh, J. (2017, March). Evaluating the Relationship Between Spatial and Spectral Features Derived from High Spatial Resolution Satellite Data and Urban Poverty in Colombo, Sri Lanka. In Urban Remote Sensing Event (JURSE), 2017 Joint (pp. 1-4). IEEE.
Work in Progress
- Do Managers Trust Algorithms for High Stakes Decisions? A Machine Learning Decision Support Tool for Estimating Delays in Multi Million Dollar Loans
- First draft completed. Revising and running additional experiments
- Combining Deep Learning With Surveys to Generate Better Poverty Maps, with an application to Mexico, with Boris Babenko, David Newhouse, Anusha Ramakrishnan, and Tom Swartz [latest slides]
- Analysis complete. Writing first draft
- Analysis complete. Writing first draft
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)”