The article discusses different statistical models called Logit and Probit, focusing on ordered and multinomial models. The researchers explore how these models can be used to estimate deprivation status and predict occupational outcomes. They compare characteristics and coefficients to understand the impact of different factors on these outcomes. The study also examines the independence of irrelevant alternatives in decision-making processes.