The authors introduce a novel statistical modeling technique to cluster analysis and apply it to financial data. Their two main goals are to handle missing data and to find homogeneous groups within the data. Their approach is flexible and handles large and complex data structures with missing...

We develop a discrete choice recursive model that classifies companies with and without dividend reinvestment plans with 72.0% accuracy. Misclassified companies are more likely to switch their plan status within the next five years, suggesting that financial statements foreshadow changes in plan...