The article discusses a type of statistical model called a simultaneous probit model. These models are used to analyze relationships between different variables. When the variables are all continuous or all binary, the model is easy to solve. However, when there is a mix of continuous and binary variables, it becomes more challenging. The researchers found that when binary variables are included in the model, it can lead to difficulties in interpreting the results.