What Do Longitudinal Data on Millions of Hospital Visits Tell Us About the Value of Public Health Insurance as a Safety Net for the Young and Privately Insured?

28 Pages Posted: 28 Jan 2015

See all articles by Amanda Kowalski

Amanda Kowalski

University of Michigan at Ann Arbor - Department of Economics

Multiple version iconThere are 2 versions of this paper

Date Written: January 26, 2015

Abstract

Young people with private health insurance sometimes transition to the public health insurance safety net after they get sick, but popular sources of cross-sectional data obscure how frequently these transitions occur. We use longitudinal data on almost all hospital visits in New York from 1995 to 2011. We show that young privately insured individuals with diagnoses that require more hospital visits in subsequent years are more likely to transition to public insurance. If we ignore the longitudinal transitions in our data, we obscure over 80% of the value of public health insurance to the young and privately insured.

Keywords: Health insurance, Nonelderly, Cohort

JEL Classification: I13

Suggested Citation

Kowalski, Amanda, What Do Longitudinal Data on Millions of Hospital Visits Tell Us About the Value of Public Health Insurance as a Safety Net for the Young and Privately Insured? (January 26, 2015). Cowles Foundation Discussion Paper No. 1983, Available at SSRN: https://ssrn.com/abstract=2555730 or http://dx.doi.org/10.2139/ssrn.2555730

Amanda Kowalski (Contact Author)

University of Michigan at Ann Arbor - Department of Economics ( email )

Ann Arbor, MI
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
27
Abstract Views
446
PlumX Metrics