title: A basket two-part model to analyze medical expenditure on interdependent multiple sectors.
abstract: This study proposes a novel statistical methodology to analyze expenditure on multiple medical sectors using consumer data. Conventionally, medical expenditure has been analyzed by two-part models, which separately consider purchase decision and amount of expenditure. We extend the traditional two-part models by adding the step of basket analysis for dimension reduction. This new step enables us to analyze complicated interdependence between multiple sectors without an identification problem. As an empirical application for the proposed method, we analyze data of 13 medical sectors from the Medical Expenditure Panel Survey. In comparison with the results of previous studies that analyzed the multiple sector independently, our method provides more detailed implications of the impacts of individual socioeconomic status on the composition of joint purchases from multiple medical sectors; our method has a better prediction performance.
authors: Department of Information Science and Technology, University of Tokyo, Tokyo, Japan.
authors: Shinya
authors: S
authors: Sugawara
authors: Department of Information Science and Technology, University of Tokyo, Tokyo, Japan.
authors: Tianyi
authors: T
authors: Wu
authors: Department of Information Science and Technology, University of Tokyo, Tokyo, Japan.
authors: Kenji
authors: K
authors: Yamanishi
mesh_terms: D000465:Algorithms; D003627:Data Interpretation, Statistical; D005102:Health Expenditures / Q000706:statistics & numerical data*; D006801:Humans; D015233:Models, Statistical; D012959:Socioeconomic Factors
keywords: Medical expenditure; dimension reduction; market basket analysis; two-part model