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Generalizing Covariate-tightened Trimming Bounds for Sample Selection Using Adaptive Kernels

Generalizing Covariate-tightened Trimming Bounds for Sample Selection Using Adaptive Kernels

Generalizing Covariate-tightened Trimming Bounds for Sample Selection Using Adaptive Kernels

Ye Wang

Jul 10, 20211 min read

Causal Inference under Temporal and Spatial Interference

Causal Inference under Temporal and Spatial Interference

Causal Inference under Temporal and Spatial Interference

Ye Wang

Nov 15, 20201 min read

How to Account for Alternatives When Comparing Effects

How to Account for Alternatives When Comparing Effects

How to Account for Alternatives When Comparing Effects

Ye Wang

Jan 17, 20201 min read

Electoral Impacts of A Failed Uprising: Evidence from Hong Kong’s Umbrella Movement

Electoral Impacts of A Failed Uprising: Evidence from Hong Kong’s Umbrella Movement

Electoral Impacts of A Failed Uprising: Evidence from Hong Kong’s Umbrella Movement

Ye Wang

Jan 16, 20201 min read

A Practical Guide to Counterfactual Estimators for Causal Inference with Time-Series Cross-Sectional

A Practical Guide to Counterfactual Estimators for Causal Inference with Time-Series Cross-Sectional

A Practical Guide to Counterfactual Estimators for Causal Inference with Time-Series Cross-Sectional

Ye Wang

Jan 15, 20201 min read

Design-based Inference for Spatial Experiments with Interference

Design-based Inference for Spatial Experiments with Interference

Design-based Inference for Spatial Experiments with Interference

Ye Wang

Jan 15, 20201 min read

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