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A latent class model for obesity

Research output: Contribution to Journal/MagazineJournal articlepeer-review

<mark>Journal publication date</mark>04/2014
<mark>Journal</mark>Economics Letters
Issue number1
Number of pages5
Pages (from-to)1-5
Publication StatusPublished
<mark>Original language</mark>English


We extend the discrete data latent class literature by explicitly defining a latent variable for class membership as a function of both observables and unobservables, thereby allowing the equations defining the class membership and observed outcomes to be correlated. The procedure is then applied to modelling observed obesity outcomes, based upon an underlying ordered probit equation.