All Stories

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