Abstract
This paper examines parsimonious models for both the British and Danish Social Occupational Mobility data. The models examined vary from the uniform association model (Goodman, 1981) to the variable distance models (Haberman, 1974). Both the Akaike (AIC) and the Bayesian (BIC) information criteria are employed for model selection. For the British data, the parsimonious UV (uniform-variable distance) association model is preferred, while for the Danish data, the UF (Uniform-fixed distance) association model is considered to be a good fit and it is also thus preferred. We also study the local odds pertaining to adjacent categories for the chosen models. Our models are preferable (based on the BIC criterion) to the parsimonious QU models introduced by Tomizawa (1990a, b).
