Class 2: Matching Methods
Channel: PEP
Date: 01/03/2019

PEP online course: Non-experimental Impact Analysis

Class 2: Matching Methods

This module describes a set of statistical techniques collectively referred as matching. These methods essentially use a non-parametric or semi-parametric approach to construct an artificial comparison group. Matching methods intend to “pair” each treated unit with a group of untreated units that has the most similar characteristics possible. These matched untreated units then become the comparison group that approximates the counterfactual. Matching methods can successfully identify the effect of a treatment when the selection bias is based on observable factors.