Most works in causal inference focus on binary treatments where one esti...
This study examines the relationship between houselessness and recidivis...
Conditional effect estimation has great scientific and policy importance...
We propose semi- and non-parametric methods to estimate conditional
inte...
In this chapter, we review the class of causal effects based on incremen...
Instrumental variable (IV) analyses are becoming common in health servic...
Regression discontinuity designs (RDDs) are a common quasi-experiment in...
Regression discontinuity designs (RDDs) are a common quasi-experiment in...
Randomization ensures that observed and unobserved covariates are balanc...
We establish the inferential properties of the mean-difference estimator...
Most research on regression discontinuity designs (RDDs) has focused on
...
Matching alleviates the problem of covariate imbalance in observational
...
A benefit of randomized experiments is that covariate distributions of
t...