This paper develops and implements a GMM estimator for latent class models suitable for count data. The estimator uses conditional moment restrictions derived from standard count models. Both the efficient and consistent variants are considered. The implementation of optimal GMM based on...

We estimate price regressions for surgical procedures used to treat colon cancer, a leading cause of cancer mortality. Using a claims database for self-insured employers, we focus on transaction prices, rather than more commonly available billing data that do not reflect actual payments made....

We examine access to general practitioners, public and private specialists in Italy. We develop a novel model using finite mixtures of probit models that provides a rich and flexible functional form. The mixed distribution is flexible and can accommodate non-normality of response probabilities....

We estimate price regressions for surgical procedures used to treat colon cancer, a leading cause of cancer mortality. Using a claims database for self-insured employers, we focus on transaction prices, rather than more commonly available billing data that do not reflect actual payments made....