Ignoring Endogeneity in Sample Selection Models Leads to Severely Biased Estimates.
The article introduces a new method to estimate a model that looks at how certain factors affect the likelihood of being chosen for a study, while also considering if those factors themselves are influenced by the outcome. This method is simpler and more accurate than previous ones. The researchers found that not taking into account these influences can lead to incorrect results.
