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

2 papers, page 1 of 1

1. ICML 2024Off-policy Evaluation Beyond Overlap: Sharp Partial Identification Under Smoothness
2. ICML 2024Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation

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.