All Stories

  1. An empirical framework for testing theories about complementarity in organizational design
  2. Triply Robust Panel Estimators
  3. Contests, gamification, and persistent engagement in educational technology
  4. The Digital Privacy Paradox and Choice Architecture: Evidence from an Experiment in Fintech
  5. The Surrogate Index: Combining Short-Term Proxies to Estimate Long-Term Treatment Effects More Rapidly and Precisely
  6. Does Q&A Boost Engagement? Health Messaging Experiments in the United States and Ghana
  7. Estimating wage disparities using foundation models
  8. Machine learning who to nudge: Causal vs predictive targeting in a field experiment on student financial aid renewal
  9. Targeted Treatment Assignment Using Data from Randomized Experiments with Noncompliance
  10. Presidential Address: The Economist as Designer in the Innovation Process for Socially Impactful Digital Products
  11. Qini Curves for Multi-Armed Treatment Rules
  12. On synthetic difference-in-differences and related estimation methods in Stata
  13. The Year in Review: Economics at the Antitrust Division 2023–2024
  14. Health insurance might be more beneficial to health than average effects suggest
  15. Heterogeneous effects of Medicaid coverage on cardiovascular risk factors: secondary analysis of randomized controlled trial
  16. Battling the coronavirus ‘infodemic’ among social media users in Kenya and Nigeria
  17. Using Wasserstein Generative Adversarial Networks for the design of Monte Carlo simulations
  18. Optimal Experimental Design for Staggered Rollouts
  19. Policy Learning with Adaptively Collected Data
  20. Can personalized digital counseling improve consumer search for modern contraceptive methods?
  21. Federated causal inference in heterogeneous observational data
  22. Semi-parametric estimation of treatment effects in randomised experiments
  23. Machine-learning-based high-benefit approach versus conventional high-risk approach in blood pressure management
  24. Digital public health interventions at scale: The impact of social media advertising on beliefs and outcomes related to COVID vaccines
  25. Offline Multi-Action Policy Learning: Generalization and Optimization
  26. Expanding capacity for vaccines against Covid-19 and future pandemics: a review of economic issues
  27. When Should You Adjust Standard Errors for Clustering?
  28. Uncovering interpretable potential confounders in electronic medical records
  29. Stable learning establishes some common ground between causal inference and machine learning
  30. Design-based analysis in Difference-In-Differences settings with staggered adoption
  31. Correction to: Counterfactual inference for consumer choice across many product categories
  32. Synthetic Difference-in-Differences
  33. Counterfactual inference for consumer choice across many product categories
  34. Estimating experienced racial segregation in US cities using large-scale GPS data
  35. Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits
  36. Ten Rules for Conducting Retrospective Pharmacoepidemiological Analyses: Example COVID-19 Study
  37. Integrating explanation and prediction in computational social science
  38. Alpha-1 adrenergic receptor antagonists to prevent hyperinflammation and death from lower respiratory tract infection
  39. Matrix Completion Methods for Causal Panel Data Models
  40. Preparing for a Pandemic: Accelerating Vaccine Availability
  41. Confidence intervals for policy evaluation in adaptive experiments
  42. The Association Between Alpha-1 Adrenergic Receptor Antagonists and In-Hospital Mortality From COVID-19
  43. Market design to accelerate COVID-19 vaccine supply
  44. Association of α1-Blocker Receipt With 30-Day Mortality and Risk of Intensive Care Unit Admission Among Adults Hospitalized With Influenza or Pneumonia in Denmark
  45. Falling living standards during the COVID-19 crisis: Quantitative evidence from nine developing countries
  46. Policy Learning With Observational Data
  47. Platform Annexation
  48. The Association Between Alpha-1 Adrenergic Receptor Antagonists and In-Hospital Mortality from COVID-19
  49. Local Linear Forests
  50. Peaches, lemons, and cookies: Designing auction markets with dispersed information
  51. Computational social science: Obstacles and opportunities
  52. Preventing cytokine storm syndrome in COVID-19 using α-1 adrenergic receptor antagonists
  53. The Allocation of Decision Authority to Human and Artificial Intelligence
  54. SHOPPER: A probabilistic model of consumer choice with substitutes and complements
  55. Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis
  56. Experienced Segregation
  57. Comment on: “The Blessings of Multiple Causes” by Yixin Wang and David M. Blei
  58. Machine Learning Methods That Economists Should Know About
  59. Generalized random forests
  60. Economists (and Economics) in Tech Companies
  61. The Impact of Machine Learning on Economics
  62. Stable Prediction across Unknown Environments
  63. Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data
  64. The value of information in monotone decision problems
  65. Approximate Residual Balancing: Debiased Inference of Average Treatment Effects in High Dimensions
  66. Economists (and Economics) in Tech Companies
  67. Exactp-Values for Network Interference
  68. Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges
  69. The State of Applied Econometrics: Causality and Policy Evaluation
  70. Yuliy Sannikov: Winner of the 2016 Clark Medal
  71. Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
  72. The Impact of Consumer Multi-homing on Advertising Markets and Media Competition
  73. Recursive partitioning for heterogeneous causal effects
  74. A Theory of Community Formation and Social Hierarchy
  75. Machine Learning and Causal Inference for Policy Evaluation
  76. A Measure of Robustness to Misspecification
  77. Chapter 15 - The Nature and Incidence of Software Piracy
  78. Dynamics of Open Source Movements
  79. Set-Asides and Subsidies in Auctions
  80. An Efficient Dynamic Mechanism
  81. Dynamics of Open Source Movements
  82. Chapter 60 Nonparametric Approaches to Auctions
  83. The Optimal Degree of Discretion in Monetary Policy
  84. Identification and Inference in Nonlinear Difference-In-Differences Models
  85. Organizational Design: Decision Rights and Incentive Contracts
  86. Identification Of Standard Auction Models
  87. Optimal Collusion with Private Information
  88. Innovation and the Emergence of Market Dominance
  89. Information And Competition In U.S. Forest Service Timber Auctions
  90. The Value Of Information In Monotone Decision Problems
  91. Mentoring and Diversity
  92. Collusion and Price Rigidity
  93. Economics: Applying Math to Real-World Problems
  94. Empirical Models of Auctions