All Stories

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