Machine Learning as a Data Driven Approach to Automate Multivariate Matching Methods
This paper introduces machine learning to automate the coarsening choices in coarsened exact matching (CEM) as a monotonic imbalance bounding matching class. I suggest to replace the otherwise arbitrary multivariate stratification process with a binary classification tree. This way, I can minimise potential bias caused by subjective preferences. By using the LaLonde (1986) dataset, I systematicall