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 1 of 4

1. CVPR 2026COPO Causal-Oriented Policy Optimization for Hallucinations of MLLMs
2. ICLR 2026A Relative Error-Based Evaluation Framework of Heterogeneous Treatment Effect Estimators
3. ICLR 2026Adjusting Prediction Model Through Wasserstein Geodesic for Causal Inference
4. ICLR 2026Foundation Models for Causal Inference via Prior-Data Fitted Networks
5. ICLR 2026Ice Cream Doesn’t Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference
6. ICLR 2026Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies
7. ICML 2026Active Policy Optimization for Individualized Dosing via Gradient Variance Minimization
8. ICML 2026COPF: An Online Framework for Deployment-Stable Counterfactual Fairness in Evolving Graphs
9. ICML 2026Ekka: Automated Diagnosis of Silent Errors in LLM Inference
10. ICML 2026Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator
11. ICML 2026Fast-SAM3D: 3Dfy Anything in Images but Faster
12. ICML 2026Gradient-Based Causal Tree Ensembles: A Backbone Architecture for Heterogeneous Treatment Effects
13. ICML 2026HodgeFlow Policy Search by Topologically Dissecting Temporal-Difference Signals in Non-Markovian Environments
14. ICML 2026Independent Component Discovery in Temporal Count Data
15. ICML 2026Mitigating Staleness in Asynchronous Pipeline Parallelism via Basis Rotation
16. ICML 2026Off-Policy Evaluation for Missingness-Aware Policies in MDPs with Rewards Missing Not at Random
17. ICML 2026REG: In-Sample RL via Regularizing the Evaluation Gap
18. ICML 2026ScoreMatchingRiesz: Score Matching for Debiased Machine Learning and Policy Path Estimation
19. ICML 2026Smooth Multi-Policy Causal Effect Estimation in Longitudinal Settings
20. ICML 2026SpreadsheetArena: Decomposing Preference in LLM Generation of Spreadsheet Workbooks
21. ICML 2026Target-Driven Policy Optimization for Sequential Counterfactual Outcome Control
22. ICML 2026Towards a Holistic Understanding of Selection Bias for Causal Effect Identification
23. ICML 2026Uncovering Bias Mechanisms in Observational Studies
24. NeurIPS 2026Causal Representation Learning for Generalisable Recommendation
25. NeurIPS 2026Certified Policy Optimisation for Nested Causal Bandits via PAC-Bayes Risk
26. NeurIPS 2026Characterizing Underrepresentation in Generalizing Causal Survival Estimates
27. NeurIPS 2026Perception Without Engagement: Dissecting the Causal Discovery Deficit in LMMs
28. ICLR 2025Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference
29. ICLR 2025Efficient Causal Decision Making with One-sided Feedback
30. ICLR 2025Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective
31. ICLR 2025Incremental Causal Effect for Time to Treatment Initialization
32. ICML 2025AutoCATE: End-to-End, Automated Treatment Effect Estimation
33. ICML 2025Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach
34. ICML 2025Compositional Causal Reasoning Evaluation in Language Models
35. ICML 2025Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption
36. ICML 2025Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation
37. ICML 2025Unbiased Evaluation of Large Language Models from a Causal Perspective
38. NeurIPS 2025A Unified Framework for the Transportability of Population-Level Causal Measures
39. NeurIPS 2025Causal Explanation-Guided Learning for Organ Allocation
40. NeurIPS 2025Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings
41. NeurIPS 2025GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding
42. NeurIPS 2025Pessimistic Data Integration for Policy Evaluation
43. NeurIPS 2025Treatment Effect Estimation for Optimal Decision-Making
44. ICLR 2024Debiased Collaborative Filtering with Kernel-Based Causal Balancing
45. ICLR 2024Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View
46. ICLR 2024Learning in reverse causal strategic environments with ramifications on two sided markets
47. ICML 2024Off-policy Evaluation Beyond Overlap: Sharp Partial Identification Under Smoothness
48. ICML 2024Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation
49. NeurIPS 2024Efficient Policy Evaluation Across Multiple Different Experimental Datasets
50. NeurIPS 2024Learning Mixtures of Unknown Causal Interventions

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.