Cover Image

Partial identification via conditional linear programs: estimation and policy learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Ben-Michael, Eli
Format:	Preprint
Published:	2025
Subjects:	Methodology Econometrics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Using Multiple Outcomes to Improve the Synthetic Control Method
by: Sun, Liyang, et al.
Published: (2023)

Temporal Aggregation for the Synthetic Control Method
by: Sun, Liyang, et al.
Published: (2024)

Safe Policy Learning under Regression Discontinuity Designs with Multiple Cutoffs
by: Zhang, Yi, et al.
Published: (2022)

The purpose of an estimator is what it does: Misspecification, estimands, and over-identification
by: Andrews, Isaiah, et al.
Published: (2025)

Privacy-aware identification
by: Komarova, Tatiana, et al.
Published: (2020)

Partial Identification of Policy-Relevant Treatment Effects with Instrumental Variables via Optimal Transport
by: Tan, Jiyuan, et al.
Published: (2026)

Testing identification in mediation and dynamic treatment models
by: Huber, Martin, et al.
Published: (2024)

Estimating Program Participation with Partial Validation
by: Denteh, Augustine, et al.
Published: (2025)

PLRD: Partially Linear Regression Discontinuity Inference
by: Ghosh, Aditya, et al.
Published: (2025)

Optimal Decision Rules when Payoffs are Partially Identified
by: Christensen, Timothy, et al.
Published: (2022)

Comment on "Generic machine learning inference on heterogeneous treatment effects in randomized experiments."
by: Imai, Kosuke, et al.
Published: (2025)

Reinterpreting demand estimation
by: Chen, Jiafeng
Published: (2025)

Estimation and exclusion restrictions in clustered linear models
by: Mikusheva, Anna, et al.
Published: (2025)

Orthogonality conditions for convex regression
by: Dai, Sheng, et al.
Published: (2025)

Non-linear Triple Changes Estimator for Targeted Policies
by: Akbari, Sina, et al.
Published: (2024)

Potential weights and implicit causal designs in linear regression
by: Chen, Jiafeng
Published: (2024)

Partial Identification of Individual-Level Parameters Using Aggregate Data in a Nonparametric Model
by: Moon, Sarah
Published: (2024)

Non-linear dependence and Granger causality: A vine copula approach
by: Fuentes-Martínez, Roberto, et al.
Published: (2024)

Extrapolation in Regression Discontinuity Design Using Comonotonicity
by: Deaner, Ben, et al.
Published: (2025)

Practically significant differences between conditional distribution functions
by: Dette, Holger, et al.
Published: (2025)

On the estimation of leverage effect and volatility of volatility in the presence of jumps
by: Liu, Qiang, et al.
Published: (2025)

Estimation for conditional moment models based on martingale difference divergence
by: Song, Kunyang, et al.
Published: (2024)

Efficient estimation of average treatment effects with unmeasured confounding and proxies
by: Ai, Chunrong, et al.
Published: (2025)

Sharp Hybrid Confidence Bands for Partially Identified Treatment Effects under Tail Uncertainty with an Application to Workforce Gender Diversity and Firm Performance
by: Lordan, Grace, et al.
Published: (2025)

High-dimensional estimation of quadratic variation based on penalized realized variance
by: Christensen, Kim, et al.
Published: (2021)

A simple distributional difference-in-differences estimator for univariate and bivariate outcomes
by: Fernández-Val, Iván, et al.
Published: (2024)

Functional instrumental variable regression with an application to estimating the impact of immigration on native wages
by: Seong, Dakyung, et al.
Published: (2021)

Asymptotic equivalence of Principal Components and Quasi Maximum Likelihood estimators in Large Approximate Factor Models
by: Barigozzi, Matteo
Published: (2023)

Partial Identification under Stratified Randomization
by: Ferman, Bruno, et al.
Published: (2026)

Causal Inference for Spatial Treatments
by: Pollmann, Michael
Published: (2020)

Data Fusion for Partial Identification of Causal Effects
by: Lanners, Quinn, et al.
Published: (2025)

Optimal Decision Rules Under Partial Identification
by: Yata, Kohei
Published: (2021)

Cluster-Randomized Trials with Cross-Cluster Interference
by: Leung, Michael P.
Published: (2023)

Identifying Treatment and Spillover Effects Using Exposure Contrasts
by: Leung, Michael P.
Published: (2024)

Learning the Effect of Persuasion via Difference-In-Differences
by: Jun, Sung Jae, et al.
Published: (2024)

Benign Overfitting in Economic Forecasting via Noise Regularization
by: Liao, Yuan, et al.
Published: (2023)

Partial Identification of Causal Effects for Endogenous Continuous Treatments
by: Dalal, Abhinandan, et al.
Published: (2025)

Canonical correlation analysis of stochastic trends via functional approximation
by: Franchi, Massimo, et al.
Published: (2024)

Neighborhood Stability in Double/Debiased Machine Learning with Dependent Data
by: Cao, Jianfei, et al.
Published: (2025)

Nonparametric Point Identification of Treatment Effect Distributions via Rank Stickiness
by: Liang, Tengyuan
Published: (2026)