Date of Award

1-1-2020

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

College/School/Department

Department of Economics

Content Description

1 online resource (x, 131 pages) : color illustrations.

Dissertation/Thesis Chair

Kajal Lahiri

Committee Members

Pinka Chatterji, Byoung Park

Keywords

Instrumental Variable, Machine Learning, Medicare, Readmissions, Hospitals

Subject Categories

Economics | Public Health

Abstract

In this thesis, I take up the question of how the Medicare penalties introduced by the Hospital Readmissions Reduction program (HRRP) impacted the US health care system. The demand side of US health care system is highly fragmented where hospitals and other providers have to serve very different kinds of patients from different payers. Since the majority of a hospital's income is drawn from Medicare, a sharp reduction in its reimbursements is bound to have an effect on its health care delivery to all patients.

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