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The impact of higher rent levels on private health insurance enrollment: An exploratory analysis for a single state, Virginia

The impact of higher rent levels on private health insurance enrollment: An exploratory analysis... This exploratory empirical study proffers and empirically examines the following two hypotheses: the higher the monthly rent levels being charged for apartments, the lower the percent of the population age 18 years to age 65 that opts to obtain private (whether group or individual) health insurance: and the greater the percentage growth rate of median household income, the greater the growth in the capacity to purchase health insurance. Panel 2SLS estimation provides what may be viewed as at least preliminary empirical support for both hypotheses. Certain policy implications are suggested. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The American Journal of Economics and Sociology Wiley

The impact of higher rent levels on private health insurance enrollment: An exploratory analysis for a single state, Virginia

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Publisher
Wiley
Copyright
Copyright © 2023 American Journal of Economics and Sociology
ISSN
0002-9246
eISSN
1536-7150
DOI
10.1111/ajes.12504
Publisher site
See Article on Publisher Site

Abstract

This exploratory empirical study proffers and empirically examines the following two hypotheses: the higher the monthly rent levels being charged for apartments, the lower the percent of the population age 18 years to age 65 that opts to obtain private (whether group or individual) health insurance: and the greater the percentage growth rate of median household income, the greater the growth in the capacity to purchase health insurance. Panel 2SLS estimation provides what may be viewed as at least preliminary empirical support for both hypotheses. Certain policy implications are suggested.

Journal

The American Journal of Economics and Sociology – Wiley

Published: Mar 7, 2023

References

  • A further analysis of determinants of health insurance coverage
    Cebula, R. J.
  • A guide to health care reform
    Cutler, D. M.
  • Price and spouse's coverage in employee demand for health insurance
    Dushi, I.; Honig, M.
  • Factors associated with enrollment for community‐based health insurance scheme in Western Ethiopia: Case control study
    Fite, M.; Roba, K.; Merga, B.; Tefera, B.; Beha, G.; Gurmessa, T.
  • Poverty: Insurance theory and the medically uninsured
    Frick, K.; Bopp, A.
  • The institutional determinants of health insurance: Moving away from labor market, marriage, and family attachments under the ACA
    Gutierrez, C. M.
  • Specification tests in econometrics
    Hausman, J. A.
  • Inequality in access to health care, health insurance, and the role of supply factors
    Johar, M.; Soewondo, P.; Pujisubekti, R.; Satrio, H. K.; Adji, A.
  • Why do people drop out of comminuty‐based health insurance? Findings from an exploratory household survey in Seneghal
    Mladavsky, P.
  • Symposium on health care reform
    Newhouse, J. P.
  • Access and quality of care by insurance type for low‐income adults before the Affordable Care Act
    Nguten, K. H.; Sommers, B. D.
  • The theory of demand for health insurance
    Nyman, J.
  • Determinants of health insurance enrolment in Ghana: Evidence from three national household surveys
    Salari, P.; Akweongo, P.; Aikins, M.; Tediosi, F.
  • Reinsuring risk to increase access to health insurance
    Swartz, K.
  • Statistical abstract of the United States, 2012
  • How the Census Bureau measures poverty
  • Health insurance coverage in the United States: 2018
  • Annual coal report
  • Fair market rent in Virginia
  • Determinants of health insurance and hospitalization
    Yamada, T.; Yamada, T.; Chen, C.; Zeng, W.
  • Highly vulnerable communities and the Affordable Care Act: Health insurance coverage effects, 2010–2018
    Ye, W.; Rodriguez, J. M.