Does the value added to GDP from nonprofit institutions decrease Medicaid payouts?

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Sullivan, B. (2019). Does the value added to GDP from nonprofit institutions decrease Medicaid payouts?. Unc Charlotte Electronic Theses And Dissertations.
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Abstract

This paper investigates the impact of nonprofit activities, measured by their total contribution to gross domestic product, on poverty, measured by Medicaid payouts. Additional control variables include: the value of the housing stock, the employment level, the unemployment rate, outstanding securitized consumer credit, and the level of the stock market. The analysis might prove fruitful for the numbers-oriented individual who prefers to know how far a dollar will go before choosing an amount to donate to a charity or foundation; especially those interested in donating to health-oriented nonprofits. The empirical method used for analysis is ordinary least squares regression, and the independent variable of focus on is the gross value added to GDP from nonprofit institutions. The conclusion is that a one percent change in the value added to GDP from nonprofit institutions does not statistically influence the percentage change in Medicaid payouts if the population data is considered; however, eliminating structural breaks in the data (and analyzing a sample of the data instead of the population) changes the outcome so that a one percent change in the value added to GDP from nonprofit institutions does statistically influence the percentage change in Medicaid payouts.

Details
Author

Sullivan, Brian

Title

Does the value added to GDP from nonprofit institutions decrease Medicaid payouts?

Physical Description

1 online resource (38 pages) : PDF

Date

2019

Degree Granting Institution

University of North Carolina at Charlotte

Abstract

This paper investigates the impact of nonprofit activities, measured by their total contribution to gross domestic product, on poverty, measured by Medicaid payouts. Additional control variables include: the value of the housing stock, the employment level, the unemployment rate, outstanding securitized consumer credit, and the level of the stock market. The analysis might prove fruitful for the numbers-oriented individual who prefers to know how far a dollar will go before choosing an amount to donate to a charity or foundation; especially those interested in donating to health-oriented nonprofits. The empirical method used for analysis is ordinary least squares regression, and the independent variable of focus on is the gross value added to GDP from nonprofit institutions. The conclusion is that a one percent change in the value added to GDP from nonprofit institutions does not statistically influence the percentage change in Medicaid payouts if the population data is considered; however, eliminating structural breaks in the data (and analyzing a sample of the data instead of the population) changes the outcome so that a one percent change in the value added to GDP from nonprofit institutions does statistically influence the percentage change in Medicaid payouts.

Genre

masters theses

Subjects--Topics

Economics

Degree

M.S.

Subject Area

Economics

Advisor(s)

Depken, Craig

Committee Members

Gaggl, Paul
Schorno, Patrick

Degree Note

Thesis (M.S.)--University of North Carolina at Charlotte, 2019.

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Rights Holder Information

Copyright is held by the author unless otherwise indicated.

Identifier

Sullivan_uncc_0694N_12112

Permalink

http://hdl.handle.net/20.500.13093/etd:2206