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Applications of Panel Data Models in Health Economics

thesis
posted on 03.12.2019, 22:13 by YAN MENG
This thesis contains three independent studies that examine health economics related issues using a Bayesian hierarchical random coefficients model, IV-probit model and time-varying grouped fixed effects model. The research uses both macro level data and large hospital administrative data at individual level. We find health care is a necessity. Patients in public hospitals stay shorter than those in private hospitals due to the funding pressure imposed by the government. Shorter length of stays will lead to worse health outcomes reflected as higher readmission rate. The information can be used by hospitals and policymakers to improve the patient quality of care.

History

Campus location

Australia

Principal supervisor

Jiti Gao

Additional supervisor 1

Xibin Zhang

Additional supervisor 2

Xueyan Zhao

Year of Award

2019

Department, School or Centre

Econometrics and Business Statistics

Course

Doctor of Philosophy

Degree Type

DOCTORATE