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 4 of 4

151. NeurIPS 2023Optimal and Fair Encouragement Policy Evaluation and Learning
152. NeurIPS 2023Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes
153. NeurIPS 2023Optimal Transport for Treatment Effect Estimation
154. NeurIPS 2023Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making
155. NeurIPS 2023Optimal Treatment Regimes for Proximal Causal Learning
156. NeurIPS 2023Pairwise Causality Guided Transformers for Event Sequences
157. NeurIPS 2023Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference
158. NeurIPS 2023Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint
159. NeurIPS 2023Persuading Farsighted Receivers in MDPs: the Power of Honesty
160. NeurIPS 2023Provable convergence guarantees for black-box variational inference
161. NeurIPS 2023Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation
162. NeurIPS 2023Pseudo-Likelihood Inference
163. NeurIPS 2023PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference
164. NeurIPS 2023Reducing Shape-Radiance Ambiguity in Radiance Fields with a Closed-Form Color Estimation Method
165. NeurIPS 2023Reliable Off-Policy Learning for Dosage Combinations
166. NeurIPS 2023Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach
167. NeurIPS 2023Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
168. NeurIPS 2023Segment Anything in 3D with NeRFs
169. NeurIPS 2023Segment Anything in High Quality
170. NeurIPS 2023Sharp Bounds for Generalized Causal Sensitivity Analysis
171. NeurIPS 2023Single-Stage Visual Query Localization in Egocentric Videos
172. NeurIPS 2023Speculative Decoding with Big Little Decoder
173. NeurIPS 2023Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions
174. NeurIPS 2023Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
175. NeurIPS 2023The Drunkard’s Odometry: Estimating Camera Motion in Deforming Scenes
176. NeurIPS 2023The Impact of Positional Encoding on Length Generalization in Transformers
177. NeurIPS 2023Time-uniform confidence bands for the CDF under nonstationarity
178. NeurIPS 2023Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity
179. NeurIPS 2023Tracking Most Significant Shifts in Nonparametric Contextual Bandits
180. NeurIPS 2023Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach
181. NeurIPS 2023Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent
182. NeurIPS 2023Variational Inference with Gaussian Score Matching
183. NeurIPS 2023What Knowledge Gets Distilled in Knowledge Distillation?

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.