Causal Inference in Economics papers, 2023–2026

Key findings

• Causal Inference in Economics fell from 130 papers in 2023 to 27 in 2026, so interest is cooling.
• NeurIPS publishes the most Causal Inference in Economics work: 117 papers from 2023 to 2026, 64% of the four-venue total.
• The fastest-growing overlap is with Reinforcement Learning: papers tagged with both rose from 12 in 2023 to 10 in 2026.
• Among the 5 topics under Finance and Economics, it ranks #2 by 2026 paper count; the fastest grower in the group, Macro Forecasting, is up 8.0x versus 0.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Characterizing Underrepresentation in Generalizing Causal Survival Estimates
• ICML 2026Independent Component Discovery in Temporal Count Data
• ICLR 2026Ice Cream Doesn’t Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference
• CVPR 2026COPO Causal-Oriented Policy Optimization for Hallucinations of MLLMs
• NeurIPS 2025Causal Explanation-Guided Learning for Organ Allocation
• ICML 2025Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach
• ICLR 2025Incremental Causal Effect for Time to Treatment Initialization
• NeurIPS 2024Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning
• ICML 2024Off-policy Evaluation Beyond Overlap: Sharp Partial Identification Under Smoothness
• ICLR 2024Learning in reverse causal strategic environments with ramifications on two sided markets
• NeurIPS 2023A Cross-Moment Approach for Causal Effect Estimation
• ICML 2023B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding
• ICLR 2023Causal Imitation Learning via Inverse Reinforcement Learning
• CVPR 2023ECON: Explicit Clothed Humans Optimized via Normal Integration
• NeurIPS 2026Certified Policy Optimisation for Nested Causal Bandits via PAC-Bayes Risk
• ICML 2026Smooth Multi-Policy Causal Effect Estimation in Longitudinal Settings
• ICLR 2026Foundation Models for Causal Inference via Prior-Data Fitted Networks
• NeurIPS 2025Pessimistic Data Integration for Policy Evaluation
• ICML 2025Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption
• ICLR 2025Efficient Causal Decision Making with One-sided Feedback

All Causal Inference in Economics papers

183 papers, page 2 of 4

51. NeurIPS 2024On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function
52. NeurIPS 2024Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding
53. NeurIPS 2024Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning
54. CVPR 2023ECON: Explicit Clothed Humans Optimized via Normal Integration
55. ICLR 2023Causal Imitation Learning via Inverse Reinforcement Learning
56. ICML 2023A/B Testing in Network Data with Covariate-Adaptive Randomization
57. ICML 2023Additive Causal Bandits with Unknown Graph
58. ICML 2023An Instrumental Variable Approach to Confounded Off-Policy Evaluation
59. ICML 2023Automatically marginalized MCMC in probabilistic programming
60. ICML 2023B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding
61. ICML 2023Causal Modeling of Policy Interventions From Treatment–Outcome Sequences
62. ICML 2023Constrained Causal Bayesian Optimization
63. ICML 2023Continual Task Allocation in Meta-Policy Network via Sparse Prompting
64. ICML 2023Correcting discount-factor mismatch in on-policy policy gradient methods
65. ICML 2023Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding
66. ICML 2023DRCFS: Doubly Robust Causal Feature Selection
67. ICML 2023Estimating Possible Causal Effects with Latent Variables via Adjustment
68. ICML 2023Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making
69. ICML 2023Fast Inference from Transformers via Speculative Decoding
70. ICML 2023Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space
71. ICML 2023Graph Inductive Biases in Transformers without Message Passing
72. ICML 2023In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
73. ICML 2023Inferring Relational Potentials in Interacting Systems
74. ICML 2023Instrumental Variable Estimation of Average Partial Causal Effects
75. ICML 2023Linear Causal Disentanglement via Interventions
76. ICML 2023Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single
77. ICML 2023Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling
78. ICML 2023On Coresets for Clustering in Small Dimensional Euclidean spaces
79. ICML 2023Online Local Differential Private Quantile Inference via Self-normalization
80. ICML 2023Proximal Causal Learning of Conditional Average Treatment Effects
81. ICML 2023Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes
82. NeurIPS 2023$p$-Poisson surface reconstruction in curl-free flow from point clouds
83. NeurIPS 2023A Cross-Moment Approach for Causal Effect Estimation
84. NeurIPS 2023A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models
85. NeurIPS 2023A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes
86. NeurIPS 2023Adaptive Principal Component Regression with Applications to Panel Data
87. NeurIPS 2023Adversarial Counterfactual Environment Model Learning
88. NeurIPS 2023An Efficient Doubly-Robust Test for the Kernel Treatment Effect
89. NeurIPS 2023Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders
90. NeurIPS 2023Approximate inference of marginals using the IBIA framework
91. NeurIPS 2023Assumption violations in causal discovery and the robustness of score matching
92. NeurIPS 2023Asynchronous Proportional Response Dynamics: Convergence in Markets with Adversarial Scheduling
93. NeurIPS 2023Benchmarking Distribution Shift in Tabular Data with TableShift
94. NeurIPS 2023Bias in Evaluation Processes: An Optimization-Based Model
95. NeurIPS 2023Bounded rationality in structured density estimation
96. NeurIPS 2023C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder
97. NeurIPS 2023CaMP: Causal Multi-policy Planning for Interactive Navigation in Multi-room Scenes
98. NeurIPS 2023Cascading Bandits: Optimizing Recommendation Frequency in Delayed Feedback Environments
99. NeurIPS 2023Causal Component Analysis
100. NeurIPS 2023Causal discovery from observational and interventional data across multiple environments

FAQ

How many Causal Inference in Economics papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

183 in total: 130 in 2023, 10 in 2024, 16 in 2025, 27 in 2026.

How many Causal Inference in Economics papers are at NeurIPS 2026?

NeurIPS 2026 has 4 Causal Inference in Economics papers, versus 6 the year before.

How many Causal Inference in Economics papers are at ICLR 2026?

ICLR 2026 has 5 Causal Inference in Economics papers, versus 4 the year before.

How many Causal Inference in Economics papers are at ICML 2026?

ICML 2026 has 17 Causal Inference in Economics papers, versus 6 the year before.

How many Causal Inference in Economics papers are at CVPR 2026?

CVPR 2026 has 1 Causal Inference in Economics papers.

Which conference publishes the most Causal Inference in Economics papers?

NeurIPS, with 117 papers from 2023 to 2026.