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Found 6 papers, 2 papers with code
Difference-in-Differences Estimators with Continuous Treatments and no Stayers
However, such estimators are not robust to heterogeneous treatment effects in general; they also rely on the linearity of treatment effects.
Difference-in-Differences Estimators for Treatments Continuously Distributed at Every Period
We propose difference-in-differences estimators for continuous treatments with heterogeneous effects.
Causal Spillover Effects Using Instrumental Variables
I then analyze identification of causal direct and spillover effects under one-sided noncompliance, and show that causal effects can be estimated by 2SLS in this case.
The Regression Discontinuity Design
This handbook chapter gives an introduction to the sharp regression discontinuity design, covering identification, estimation, inference, and falsification methods.
Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs
In non-experimental settings, the Regression Discontinuity (RD) design is one of the most credible identification strategies for program evaluation and causal inference.
Identification and Estimation of Spillover Effects in Randomized Experiments
I study identification, estimation and inference for spillover effects in experiments where units' outcomes may depend on the treatment assignments of other units within a group.
