New model reveals hidden biases in data analysis, impacting decision-making.
The trivariate probit model was developed to handle situations where data is missing in three equations due to truncation. This model is similar to the Bivariate Probit with Sample Selection, but with an additional equation and truncation. An application of the model revealed that ignoring these truncations can lead to estimation biases.
