Heterogeneous treatment effect bounds under sample selection with an application to the effects of social media on political polarization
From MaRDI portal
Publication:6664634
DOI10.1016/j.jeconom.2024.105856MaRDI QIDQ6664634
Publication date: 16 January 2025
Published in: Journal of Econometrics (Search for Journal in Brave)
Statistics (62-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)
Cites Work
- Large Sample Properties of Partitioning-Based Series Estimators
- Some new asymptotic theory for least squares series: pointwise and uniform results
- Robust inference on average treatment effects with possibly more covariates than observations
- Inference based on many conditional moment inequalities
- Generalized random forests
- Fast learning rates for plug-in classifiers
- Local asymptotics for polynomial spline regression
- Valid inference for treatment effect parameters under irregular identification and many extreme propensity scores
- Sharp bounds on the causal effects in randomized experiments with ``truncation-by-death
- Nonparametric inference based on conditional moment inequalities
- Inference Based on Conditional Moment Inequalities
- Irregular Identification, Support Conditions, and Inverse Weight Estimation
- Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects
- Sample Selection Bias as a Specification Error
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Nonparametric Analysis of Randomized Experiments with Missing Covariate and Outcome Data
- Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
- Inference on Treatment Effects after Selection among High-Dimensional Controls
- Inference on Causal and Structural Parameters using Many Moment Inequalities
- Debiased machine learning of conditional average treatment effects and other causal functions
- Double/debiased machine learning for treatment and structural parameters
- Inference for Parameters Defined by Moment Inequalities Using Generalized Moment Selection
- More on Confidence Intervals for Partially Identified Parameters
- Structural Equations, Treatment Effects, and Econometric Policy Evaluation1
- Confidence Intervals for Partially Identified Parameters
- Debiased machine learning of set-identified linear models
- Identifying marginal treatment effects in the presence of sample selection
- Efficient Covariate Balancing for the Local Average Treatment Effect
- Misspecified moment inequality models: inference and diagnostics
This page was built for publication: Heterogeneous treatment effect bounds under sample selection with an application to the effects of social media on political polarization