ImbensKalyanaramanmetoden
The Imbens-Kalyanaraman method, sometimes referred to as the Imbens-Kalyanaraman estimator, is a statistical technique used in econometrics and causal inference. It is primarily employed to estimate causal effects in situations where treatment assignment is not strictly random but can be modeled as a function of observed covariates. This method is particularly useful for addressing selection bias that arises when individuals self-select into treatment based on observable characteristics.
The core idea behind the Imbens-Kalyanaraman method is to construct a counterfactual outcome for each individual.
The method is considered an extension of matching estimators and aims to improve upon simpler matching approaches