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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...
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It has been proposed that cross-country comparisons of the technical efficiency of health production, estimated using data envelopment analysis (DEA), have useful applications for policy makers. In theory such an analysis utilizes measures of the socioeconomic determinants of health relevant to...
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