Date of Award

1-1-2023

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

College/School/Department

Department of Economics

Content Description

1 online resource (xi, 109 pages) : illustrations (some color)

Dissertation/Thesis Chair

Zhongwen Liang

Committee Members

Ulrich Hounyo, Chun-Yu Ho, Daiqiang Zhang

Keywords

Health, Labor, Banks and banking

Subject Categories

Economics

Abstract

The first chapter study the medical expenditure on prescription drug utilization on racial/ethnic disparities using a partially linear quantile treatment effects (QTE) model. We consider the quantile treatment effect inequity from race conditional on other covariates. We find that people tend to spend more depending on prescription drug use as growing old, especially those with insurance coverage. In addition, females spend more than males generally, and the male minority groups have higher treatment effect values, compared to that White female usually spends a lot on medical expenditure. From a racial disparity perspective, we observe that the male Hispanic group QTE is more than other male racial groups in many quantiles, reflecting that prescription drug use has a significant impact on male Hispanics. Through the analysis of the outcomes of τ = 0.9, we conclude that minorities are more likely to have extreme QTE value, especially females. Lastly, we also derive the asymptotics for the nonparametric QTE estimator which complements Imbens and Newey (2009).

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