Daniel Björkegren

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Instant Loans Can Lift Subjective Well-Being: A Randomized Evaluation of Digital Credit in Nigeria	2023	Daniel Björkegren Joshua Blumenstock Suraj Nair Jacqueline Mauro Omowunmi Folajimi-Senjobi
+	Are LLMs Useful in the Poorest Schools? theTeacherAI in Sierra Leone	2023	Jun Ho Choi Oliver Garrod Philip J. Atherton Andrew Joyce‐Gibbons Miriam Mason-Sesay Daniel Björkegren
+	Causal Inference from Hypothetical Evaluations	2022	B. Douglas Bernheim Daniel Björkegren Jeffrey Naecker Michael Pollmann
+	Instant Loans Can Lift Subjective Well-Being: A Randomized Evaluation of Digital Credit in Nigeria	2022	Daniel Björkegren Joshua Blumenstock Omowunmi Folajimi-Senjobi Jacqueline Mauro Suraj R Nair
+	(Machine) Learning What Policies Value	2022	Daniel Björkegren Joshua Blumenstock Samsun Knight
+	Causal Inference from Hypothetical Evaluations	2021	B. Douglas Bernheim Daniel Björkegren Jeffrey Naecker Michael Pollmann
+ PDF Chat	Network adoption subsidies: A digital evaluation of a rural mobile phone program in Rwanda	2021	Daniel Björkegren Burak Ceyhun Karaca
+ PDF Chat	Assessing Bias in Smartphone Mobility Estimates in Low Income Countries	2021	Sveta Milusheva Daniel Björkegren Leonardo Teixeira Viotti
+	Causal Inference from Hypothetical Evaluations	2021	B. Douglas Bernheim Daniel Björkegren Jeffrey Naecker Michael Pollmann
+ PDF Chat	Manipulation-Proof Machine Learning	2020	Daniel Björkegren Joshua Blumenstock Samsun Knight
+	Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning	2020	Esther Rolf Max Simchowitz Sarah Dean Lydia T. Liu Daniel Björkegren Moritz Hardt Joshua Blumenstock
+	The Effect of Network Adoption Subsidies: Evidence from Digital Traces in Rwanda	2020	Daniel Björkegren Burak Ceyhun Karaca
+	Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning	2020	Esther Rolf Max Simchowitz Sarah Dean Lydia T. Liu Daniel Björkegren Moritz Hardt Joshua Blumenstock
+	The Effect of Network Adoption Subsidies: Evidence from Digital Traces in Rwanda	2020	Daniel Björkegren Burak Ceyhun Karaca
+	Manipulation-Proof Machine Learning	2020	Daniel Björkegren Joshua Blumenstock Samsun Knight
+ PDF Chat	Manipulation-Proof Machine Learning	2019	Joshua Blumenstock Daniel Björkegren
+ PDF Chat	Manipulation-Proof Machine Learning	2019	Joshua Blumenstock Daniel Björkegren
+ PDF Chat	Manipulation-Proof Machine Learning	2019	Joshua Blumenstock Daniel Björkegren
+	Manipulation-Proof Machine Learning	2019	Joshua Blumenstock Daniel Björkegren
+ PDF Chat	Behavior Revealed in Mobile Phone Usage Predicts Credit Repayment	2019	Daniel Björkegren Darrell Grissen
+ PDF Chat	Behavior Revealed in Mobile Phone Usage Predicts Loan Repayment	2018	Daniel Björkegren Darrell Grissen

Common Coauthors

Coauthor	Papers Together
Joshua Blumenstock	11
Samsun Knight	3
Michael Pollmann	3
B. Douglas Bernheim	3
Burak Ceyhun Karaca	3
Jeffrey Naecker	3
Darrell Grissen	2
Esther Rolf	2
Lydia T. Liu	2
Jacqueline Mauro	2
Sarah Dean	2
Max Simchowitz	2
Omowunmi Folajimi-Senjobi	2
Moritz Hardt	2
Suraj R Nair	1
Sveta Milusheva	1
Philip J. Atherton	1
Andrew Joyce‐Gibbons	1
Leonardo Teixeira Viotti	1
Miriam Mason-Sesay	1
Jun Ho Choi	1
Suraj Nair	1
Oliver Garrod	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	The Social Cost of Strategic Classification	2019	Smitha Milli John P. Miller Anca D. Dragan Moritz Hardt	4
+ PDF Chat	The Disparate Effects of Strategic Manipulation	2019	Lily Hu Nicole Immorlica Jennifer Wortman Vaughan	4
+ PDF Chat	Strategic Classification	2016	Moritz Hardt Nimrod Megiddo Christos H. Papadimitriou Mary Wootters	4
+ PDF Chat	Estimation and Inference of Heterogeneous Treatment Effects using Random Forests	2017	Stefan Wager Susan Athey	3
+	The prognostic analogue of the propensity score	2008	B. B. Hansen	3
+	Statistical Bias Functions and Informative Hypothetical Surveys	1994	McKinley L. Blackburn Glenn W. Harrison E. Elisabet Rutström	3
+ PDF Chat	Principal Stratification in Causal Inference	2002	Constantine Frangakis Donald B. Rubin	3
+	Chapter 36 Large sample estimation and hypothesis testing	1994	Whitney K. Newey Daniel McFadden	3
+ PDF Chat	Double/debiased machine learning for treatment and structural parameters	2017	Victor Chernozhukov Denis Chetverikov Mert Demirer Esther Duflo Christian Hansen Whitney K. Newey James M. Robins	3
+	Correcting surveys for non-response and measurement error using auxiliary information	1999	Simon Jackman	3
+ PDF Chat	Correcting for Survey Misreports Using Auxiliary Information with an Application to Estimating Turnout	2010	Jonathan N. Katz Gabriel Katz	3
+	The Elements of Statistical Learning	2009		3
+ PDF Chat	Causal Inference for Statistics, Social, and Biomedical Sciences	2015	Guido W. Imbens Donald B. Rubin	3
+ PDF Chat	Behavior Revealed in Mobile Phone Usage Predicts Loan Repayment	2018	Daniel Björkegren Darrell Grissen	3
+	Semiparametric Efficiency in Multivariate Regression Models with Missing Data	1995	James M. Robins Andrea Rotnitzky	3
+ PDF Chat	The central role of the propensity score in observational studies for causal effects	1983	Paul R. Rosenbaum Donald B. Rubin	3
+	Surrogate endpoints in clinical trials: Definition and operational criteria	1989	Ross L. Prentice	3
+ PDF Chat	Identification of Causal Effects Using Instrumental Variables	1996	Joshua D. Angrist Guido W. Imbens Donald B. Rubin	2
+	Understanding individual human mobility patterns	2008	Marta C. González César A. Hidalgo Albert‐László Barabási	2
+ PDF Chat	Quantifying social group evolution	2007	Gergely Palla Albert‐László Barabási Tamás Vicsek	2
+ PDF Chat	Identification and Estimation of Local Average Treatment Effects	1994	Guido W. Imbens Joshua D. Angrist	2
+ PDF Chat	On the Use of Surrogate End Points in Randomized Trials	2000	Colin B. Begg Denis H. Y. Leung	2
+ PDF Chat	Structure and tie strengths in mobile communication networks	2007	Jukka‐Pekka Onnela Jari Saramäki Jörkki Hyvönen Gábor Szabó David Lazer Kimmo Kaski János Kertész Albert‐László Barabási	2
+	Elasticities and the Inverse Hyperbolic Sine Transformation	2019	Marc F. Bellemare Casey J. Wichman	2
+ PDF Chat	How Do Classifiers Induce Agents to Invest Effort Strategically?	2019	Jon Kleinberg Manish Raghavan	2
+ PDF Chat	Approximate Residual Balancing: Debiased Inference of Average Treatment Effects in High Dimensions	2018	Susan Athey Guido W. Imbens Stefan Wager	2
+ PDF Chat	How Do Classifiers Induce Agents to Invest Effort Strategically?	2020	Jon Kleinberg Manish Raghavan	2
+	Combining Experimental and Observational Data to Estimate Treatment Effects on Long Term Outcomes	2020	Susan Athey Raj Chetty Guido W. Imbens	2
+ PDF Chat	Using Aggregated Relational Data to Feasibly Identify Network Structure without Network Data	2020	Emily Breza Arun G. Chandrasekhar Tyler H. McCormick Mengjie Pan	1
+	The Sample Complexity of Optimizing a Convex Function	2017	Eric Balkanski Yaron Singer	1
+	Robust Physical-World Attacks on Deep Learning Models	2017	Ivan Evtimov Kevin Eykholt Earlence Fernandes Tadayoshi Kohno Bo Li Atul Prakash Amir Rahmati Dawn Song	1
+	A Flexible Multi-Objective Bayesian Optimization Approach using Random Scalarizations.	2018	Biswajit Paria Kirthevasan Kandasamy Barnabás Póczos	1
+	Proxy Fairness	2018	Maya R. Gupta Andrew Cotter Mahdi Milani Fard Serena Wang	1
+	Welfare and Distributional Impacts of Fair Classification	2018	Lily Hu Yiling Chen	1
+	The Measure and Mismeasure of Fairness	2018	Sam Corbett‐Davies Sharad Goel	1
+ PDF Chat	Can Network Theory-Based Targeting Increase Technology Adoption?	2021	Lori Beaman Ariel BenYishay Jeremy Magruder Ahmed Mushfiq Mobarak	1
+	Impact of human mobility on the emergence of dengue epidemics in Pakistan	2015	Amy Wesolowski Taimur Qureshi Maciej F. Boni Pål Sundsøy Michael A. Johansson Syed Basit Rasheed Kenth Engø‐Monsen Caroline O. Buckee	1
+ PDF Chat	Elementary proof for Sion's minimax theorem	1988	Hidetoshi Komiya	1
+ PDF Chat	Fair Algorithms for Learning in Allocation Problems	2019	Hadi Elzayn Shahin Jabbari Christopher Jung Michael Kearns Seth Neel Aaron Roth Zachary Schutzman	1
+	A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations	2018	Biswajit Paria Kirthevasan Kandasamy Barnabás Póczos	1
+ PDF Chat	From Fair Decision Making To Social Equality	2019	Hussein Mouzannar Mesrob I. Ohannessian Nathan Srebro	1
+	Quantifying seasonal population fluxes driving rubella transmission dynamics using mobile phone data	2015	Amy Wesolowski C. Jessica E. Metcalf Nathan Eagle Janeth Kombich Bryan T. Grenfell Ottar N. Bjørnstad Justin Lessler Andrew J. Tatem Caroline O. Buckee	1
+ PDF Chat	Exact<i>p</i>-Values for Network Interference	2016	Susan Athey Dean Eckles Guido W. Imbens	1
+ PDF Chat	Can Network Theory-based Targeting Increase Technology Adoption?	2018	Lori Beaman Keesler Welch Ahmed Mobarak Ariel BenYishay Jeremy Magruder Caitlin Rowe Jacob Geray	1
+	Strategic Classification from Revealed Preferences	2018	Jinshuo Dong Aaron Roth Zachary Schutzman Bo Waggoner Zhiwei Steven Wu	1
+	Leveraging Administrative Data for Bias Audits	2021	Amanda Coston Neel Guha Derek Ouyang Lisa Lu Alexandra Chouldechova Daniel E. Ho	1
+	Avoiding Discrimination through Causal Reasoning	2017	Niki Kilbertus Mateo Rojas-Carulla Giambattista Parascandolo Moritz Hardt Dominik Janzing Bernhard Schölkopf	1
+	Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments	2017	Alexandra Chouldechova	1
+	Scoring Strategic Agents	2019	Ian Ball	1
+	Noise-tolerant fair classification	2019	Alexandre Louis Lamy Ziyuan Zhong Aditya Krishna Menon Nakul Verma	1