Instrumental variable approaches employ an instrumental variable to remove the endogenous part of the predictor. However, strong and valid instruments are hard to find.
Instrument-free approaches use the distribution of variables and the error term to remove or model the endogenous part of the predictor. However, they rely on untestable assumptions regarding the dependence structure of endogenous predictor and error term.
