Cover Image

Causal Inference in High-Dimensional Generalized Linear Models with Binary Outcomes

Fuente: arXiv

Saved in:

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

Similar Items

Causal Inference for Qualitative Outcomes
by: Di Francesco, Riccardo, et al.
Published: (2025)

Endogeneity Corrections in Binary Outcome Models with Nonlinear Transformations: Identification and Inference
by: Mayer, Alexander, et al.
Published: (2024)

Dimension Reduction for Conditional Density Estimation with Applications to High-Dimensional Causal Inference
by: Mei, Jianhua, et al.
Published: (2025)

On the Asymptotics of the Minimax Linear Estimator
by: Kong, Jing
Published: (2025)

Inference on High Dimensional Selective Labeling Models
by: Khan, Shakeeb, et al.
Published: (2024)

High Dimensional Binary Choice Model with Unknown Heteroskedasticity or Instrumental Variables
by: Ouyang, Fu, et al.
Published: (2023)

High Dimensional Discrete Choice Models With Interactive Fixed Effects Applied to Causal Inference
by: Ye Chen, et al.
Published: (2025)

Uniform Inference in High-Dimensional Threshold Regression Models
by: Li, Jiatong, et al.
Published: (2024)

Sparse VARs Do Not Imply Sparse Local Projections: Robust Inference for High-Dimensional Granger Causality
by: Dettaa, Eugene, et al.
Published: (2024)

High-Dimensional Granger Causality for Climatic Attribution
by: Friedrich, Marina, et al.
Published: (2023)

Robust Estimation and Inference for High-Dimensional Panel Data Models
by: Gao, Jiti, et al.
Published: (2024)

Robust Inference with High-Dimensional Instruments
by: Feng, Qu, et al.
Published: (2025)

Inference for High-Dimensional Local Projection
by: Gao, Jiti, et al.
Published: (2026)

Inference in High-Dimensional Panel Models: Two-Way Dependence and Unobserved Heterogeneity
by: Chen, Kaicheng
Published: (2025)

Model Selection in High-Dimensional Linear Regression using Boosting with Multiple Testing
by: Kapetanios, George, et al.
Published: (2026)

Estimation and Inference in High-Dimensional Panel Data Models with Interactive Fixed Effects
by: Ruecker, Maximilian, et al.
Published: (2022)

Binary Outcome Models with Extreme Covariates: Estimation and Prediction
by: Liu, Laura, et al.
Published: (2025)

Partial Identification of Binary Choice Models with Misreported Outcomes
by: Mondal, Orville, et al.
Published: (2024)

Fixed-Population Causal Inference for Models of Equilibrium
by: Menzel, Konrad
Published: (2025)

P-CRE-DML: A Novel Approach for Causal Inference in Non-Linear Panel Data
by: Sharma, Amarendra
Published: (2025)

Treatment Effects Inference with High-Dimensional Instruments and Control Variables
by: Chen, Xiduo, et al.
Published: (2025)

Variable Selection in High Dimensional Linear Regressions with Parameter Instability
by: Chudik, Alexander, et al.
Published: (2023)

Local Projections Inference with High-Dimensional Covariates without Sparsity
by: Cha, Jooyoung
Published: (2024)

Causal Inference with Groupwise Matching
by: Rincón, Ratzanyel, et al.
Published: (2025)

Causal Inference for Aggregated Treatment
by: Caetano, Carolina, et al.
Published: (2025)

Estimation and Inference for Three-Dimensional Panel Data Models
by: Feng, Guohua, et al.
Published: (2024)

Breakdown Analysis for Instrumental Variables with Binary Outcomes
by: Picchetti, Pedro
Published: (2025)

Binary Classification with the Maximum Score Model and Linear Programming
by: Horowitz, Joel L., et al.
Published: (2025)

Inference in Linear Dyadic Data Models with Network Spillovers
by: Canen, Nathan, et al.
Published: (2022)

Residual Balancing for Non-Linear Outcome Models in High Dimensions
by: Meza, Isaac
Published: (2025)

Inference for Nonlinear Endogenous Treatment Effects Accounting for High-Dimensional Covariate Complexity
by: Fan, Qingliang, et al.
Published: (2023)

Moderating the Mediation Bootstrap for Causal Inference
by: van Garderen, Kees Jan, et al.
Published: (2024)

Forward Regression via Gram-Schmidt Orthogonalization for Ultra-High Dimensional Linear Models
by: Chen, Jialuo, et al.
Published: (2025)

Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis
by: Fu, Jiawei, et al.
Published: (2025)

Bayesian Double Machine Learning for Causal Inference
by: DiTraglia, Francis J., et al.
Published: (2025)

High-dimensional Penalized Linear IV Estimation & Inference using BRIDGE and Adaptive LASSO
by: Kelekidou, Eleftheria
Published: (2025)

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

Causal Inference on Outcomes Learned from Text
by: Modarressi, Iman, et al.
Published: (2025)

Causal Inference under Interference through Designed Markets
by: Munro, Evan
Published: (2025)

Long-Term Causal Inference with Many Noisy Proxies
by: Lal, Apoorva, et al.
Published: (2026)