This study tests the association between income inequality and individual's health, anassociation known as the Income Inequality Hypothesis (IIH) for China using theCHNS dataset. We adopt a dynamic approach to account for lagged effects of inequalityon health outcomes using objective measures of health: nurse-collected health measuresand blood-based biomarkers. Using a balanced panel data across 24 years from Chinawe employ pooled OLS and fixed effects regression models controlling for individuallevel variables, county/city fixed effects, and year dummies. We find current inequalitylevel not to be associated with health outcomes as reported in a recent empirical studyby Bakkeli (2016). However considering a dynamic framework, we find laggedinequality level to have a statistical significantly associate with certain health outcomesafter accounting for a host of demographic factors. Our analysis identifies theassociation between lagged inequality and health outcomes and the need for policymakers to account for the dynamic association between inequality and health outcomes.
History
Table of Contents
Chapter 1 Income Inequality and Health-- Chapter 2 Review of Theoretical Literature -- Chapter 3 Review of Empirical Literature -- Chapter 4 Research Method -- Chapter 5 Empirical Results and Analysis -- Chapter 6 Final Thoughts and Conclusions
Notes
Theoretical thesis.
Bibliography: pages 90-98
Awarding Institution
Macquarie University
Degree Type
Thesis MRes
Degree
MRes, Macquarie University, Macquarie Business School, Department of Economics
Department, Centre or School
Department of Economics
Year of Award
2019
Principal Supervisor
Kompal Sinha
Additional Supervisor 1
Tony Bryant
Rights
Copyright Han Cheng 2019
Copyright disclaimer: http://mq.edu.au/library/copyright