New method reveals true impact of policies and treatments on society.
The article explores different methods to analyze how quantile regression works. It compares ordinary least squares (OLS) and quantile regression using a simple approach. When the sample size is large, it suggests using bootstrap to understand quantile regression better. The study also looks at the distribution of quantile regression estimators and how they can be modified for different situations. Additionally, it introduces a new method called the quantile treatment effect (QTE) estimator to assess the impact of treatments or policies.
