An extended class of RC association models: definition and estimation

10/30/2019

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by   Antonio Forcina, et al.

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The class of RC association models introduced in this paper allows the user to select the type of logit (local, global, continuation) suitable for the row and column variables and the form of the divergence measure which, as in Kateri and Papaioannou (1994) may be used to define an extended class of bivariate interactions. A general algorithm for fitting these models which avoids identifiability constraints and allows additional linear constraints to be imposed on marginal logits and generalized interactions is described. An application to social mobility data is presented and discussed.