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Daniel Björkegren
Daniel Björkegren
Assistant Professor of International and Public Affairs, Columbia University
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
Behavior Revealed in Mobile Phone Usage Predicts Credit Repayment
D Björkegren, D Grissen
The World Bank Economic Review 34 (3), 618-634, 2020
2252020
The Adoption of Network Goods: Evidence from the Spread of Mobile Phones in Rwanda
D Björkegren
Review of Economic Studies 86 (3), 1033-1060, 2019
1222019
The Potential of Digital Credit to Bank the Poor
D Björkegren, D Grissen
American Economic Association Papers and Proceedings 108, 68-71, 2018
852018
Manipulation-Proof Machine Learning
D Björkegren, JE Blumenstock, S Knight
arXiv preprint arXiv:2004.03865, 2020
512020
Non-Choice Evaluations Predict Behavioral Responses to Changes in Economic Conditions
BD Bernheim, D Björkegren, J Naecker, A Rangel
National Bureau of Economic Research, 2013
31*2013
Balancing competing objectives with noisy data: Score-based classifiers for welfare-aware machine learning
E Rolf, M Simchowitz, S Dean, LT Liu, D Björkegren, M Hardt, ...
International Conference on Machine Learning, 8158-8168, 2020
232020
Competition in Network Industries: Evidence from the Rwandan Mobile Phone Network
D Björkegren
RAND Journal of Economics 53 (1), 200-225, 2022
202022
Network Adoption Subsidies: A Digital Evaluation of a Rural Mobile Phone Program in Rwanda
D Björkegren, BC Karaca
Journal of Development Economics 154, 102762, 2022
142022
Assessing bias in smartphone mobility estimates in low income countries
S Milusheva, D Bjorkegren, L Viotti
Proceedings of the 4th ACM SIGCAS Conference on Computing and Sustainable …, 2021
132021
Instant loans can lift subjective well-being: A randomized evaluation of digital credit in Nigeria
D Björkegren, J Blumenstock, O Folajimi-Senjobi, J Mauro, SR Nair
arXiv preprint arXiv:2202.13540, 2022
102022
Causal Inference from Hypothetical Evaluations
BD Bernheim, D Björkegren, J Naecker, M Pollmann
National Bureau of Economic Research, 2022
72022
Are LLMs Useful in the Poorest Schools? theTeacherAI in Sierra Leone
JH Choi, O Garrod, P Atherton, A Joyce-Gibbons, M Mason-Sesay, ...
arXiv preprint arXiv:2310.02982, 2023
52023
Artificial Intelligence for the Poor: How to Harness the Power of AI in the Developing World
D Björkegren
Foreign Affairs, 2023
52023
Inferring Missing Cell Tower Locations using Call Handoffs
D Björkegren
White Paper, 2014
42014
Nostalgic Demand
D Björkegren
Available at SSRN 3220583, 2018
12018
Technology for Development
D Björkegren, J Blumenstock
IMF: International Monetary Fund, 2023
2023
(Machine) Learning What Policies Value
D Björkegren, JE Blumenstock, S Knight
arXiv preprint arXiv:2206.00727, 2022
2022
Measuring Informal Work with Digital Traces: Mobile Payphone Operators in Rwanda
D Björkegren
Proceedings of the 2020 International Conference on Information and …, 2020
2020
The Value and Spread of Information: Evidence from Mobile Phones in Rwanda
D Björkegren
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