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-д хадгалсан:

Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид:	Salerno, Stephen, Wu, Zhenke, McCormick, Tyler
Формат:	Preprint
Хэвлэсэн:	2026
Нөхцлүүд:	Machine Learning Econometrics Applications Methodology
Онлайн хандалт:	https://arxiv.org/abs/2603.11368
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!

Ижил төстэй зүйлс

Some models are useful, but for how long?: A decision theoretic approach to choosing when to refit large-scale prediction models
-н: Hoffman, Kentaro, зэрэг
Хэвлэсэн: (2024)

Robustly estimating heterogeneity in factorial data using Rashomon Partitions
-н: Venkateswaran, Aparajithan, зэрэг
Хэвлэсэн: (2024)

Non-robustness of diffusion estimates on networks with measurement error
-н: Chandrasekhar, Arun G., зэрэг
Хэвлэсэн: (2024)

Conformal Prediction for Nonparametric Instrumental Regression
-н: Kato, Masahiro
Хэвлэсэн: (2026)

Double Machine Learning at Scale to Predict Causal Impact of Customer Actions
-н: More, Sushant, зэрэг
Хэвлэсэн: (2024)

Difference-in-differences Design with Outcomes Missing Not at Random
-н: Shin, Sooahn
Хэвлэсэн: (2024)

Beyond the Average: Distributional Causal Inference under Imperfect Compliance
-н: Byambadalai, Undral, зэрэг
Хэвлэсэн: (2025)

Distributed Causality in the SDG Network: Evidence from Panel VAR and Conditional Independence Analysis
-н: Fahim, Md Muhtasim Munif, зэрэг
Хэвлэсэн: (2026)

Improving the Estimation of Lifetime Effects in A/B Testing via Treatment Locality
-н: Chen, Shuze, зэрэг
Хэвлэсэн: (2024)

Causal Mediation Analysis with Multiple Mediators: A Simulation Approach
-н: Zhou, Jesse, зэрэг
Хэвлэсэн: (2025)

Mining Causality: AI-Assisted Search for Instrumental Variables
-н: Han, Sukjin
Хэвлэсэн: (2024)

Blind Targeting: Personalization under Third-Party Privacy Constraints
-н: Shchetkina, Anya
Хэвлэсэн: (2025)

A Unified Framework for Estimation of High-dimensional Conditional Factor Models
-н: Chen, Qihui
Хэвлэсэн: (2022)

Variance reduction combining pre-experiment and in-experiment data
-н: Lin, Zhexiao, зэрэг
Хэвлэсэн: (2024)

Cross-Temporal Forecast Reconciliation at Digital Platforms with Machine Learning
-н: Rombouts, Jeroen, зэрэг
Хэвлэсэн: (2024)

Model-Based Inference and Experimental Design for Interference Using Partial Network Data
-н: Reeves, Steven Wilkins, зэрэг
Хэвлэсэн: (2024)

Online Distributional Regression
-н: Hirsch, Simon, зэрэг
Хэвлэсэн: (2024)

Doubly robust estimation of causal effects for random object outcomes with continuous treatments
-н: Bhattacharjee, Satarupa, зэрэг
Хэвлэсэн: (2025)

A Unified Framework for Inference with General Missingness Patterns and Machine Learning Imputation
-н: Chen, Xingran, зэрэг
Хэвлэсэн: (2025)

Program Evaluation with Remotely Sensed Outcomes
-н: Rambachan, Ashesh, зэрэг
Хэвлэсэн: (2024)

Tensor PCA for Factor Models
-н: Babii, Andrii, зэрэг
Хэвлэсэн: (2022)

Regression Discontinuity Design with Distribution-Valued Outcomes
-н: Van Dijcke, David
Хэвлэсэн: (2025)

Binary Choice under Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Algorithmic Fairness
-н: Babii, Andrii, зэрэг
Хэвлэсэн: (2020)

Predictive Synthesis under Sporadic Participation: Evidence from Inflation Density Surveys
-н: Johnson, Matthew C., зэрэг
Хэвлэсэн: (2026)

Detecting Spatial Outliers: the Role of the Local Influence Function
-н: Arbia, Giuseppe, зэрэг
Хэвлэсэн: (2024)

Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis
-н: Fu, Jiawei, зэрэг
Хэвлэсэн: (2025)

Spectral goodness-of-fit tests for complete and partial network data
-н: Lubold, Shane, зэрэг
Хэвлэсэн: (2021)

Emergent Dynamical Spatial Boundaries in Emergency Medical Services: A Navier-Stokes Framework from First Principles
-н: Kikuchi, Tatsuru
Хэвлэсэн: (2025)

Bandwidth Selection for Spatial HAC Standard Errors
-н: Lehner, Alexander
Хэвлэсэн: (2026)

Scalable Estimation of Multinomial Response Models with Random Consideration Sets
-н: Chib, Siddhartha, зэрэг
Хэвлэсэн: (2023)

Gimbal Regression: Orientation-Adaptive Local Linear Regression under Spatial Heterogeneity
-н: Otani, Yuichiro
Хэвлэсэн: (2026)

Spatially-clustered spatial autoregressive models with application to agricultural market concentration in Europe
-н: Cerqueti, Roy, зэрэг
Хэвлэсэн: (2024)

Local Projection Inference in High Dimensions
-н: Adamek, Robert, зэрэг
Хэвлэсэн: (2022)

A Moment-Based Generalization to Post-Prediction Inference
-н: Salerno, Stephen, зэрэг
Хэвлэсэн: (2025)

Estimation and Inference in Boundary Discontinuity Designs: Location-Based Methods
-н: Cattaneo, Matias D., зэрэг
Хэвлэсэн: (2025)

Time-to-Event Estimation with Unreliably Reported Events in Medicare Health Plan Payment
-н: Enache, Oana M., зэрэг
Хэвлэсэн: (2026)

The Role of Measured Covariates in Assessing Sensitivity to Unmeasured Confounding
-н: Dalal, Abhinandan, зэрэг
Хэвлэсэн: (2026)

Nonparametric Identification and Estimation of Causal Effects on Latent Outcomes
-н: Fu, Jiawei, зэрэг
Хэвлэсэн: (2026)

Nonparametric Identification of Spatial Treatment Effect Boundaries: Evidence from Bank Branch Consolidation
-н: Kikuchi, Tatsuru
Хэвлэсэн: (2025)

Dual-Channel Technology Diffusion: Spatial Decay and Network Contagion in Supply Chain Networks
-н: Kikuchi, Tatsuru
Хэвлэсэн: (2025)