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Econometric methods for secondary data in health research
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- Author / Creator
- Chu, Filmer
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This dissertation integrates econometric methods into the multidisciplinary field of health research. Applied econometric methods commonly used in academic economic research are powerful tools that can optimize the use of secondary data. This dissertation applies these tools in four independent chapters that are specifically targeted to government policy decision makers. The first chapter applies the instrumental variable regression models to study the relationship between Canadian Obesity and income and finds evidence of inequity in the context of public health. The second chapter studies the relationship between vitamin D and various mental health indicators while expanding ordered logistic regression models with margin effects. The results from this chapter can be used as a promotional tool as an interim solution for vitamin D deficiencies in Canada. The third chapter studies the acute myocardial infarction key performance indicator that has been mandated by the Alberta Ministry of Health and Wellness government department through an economic lens. The final chapter validates the CMG+ costing estimate of acute myocardial infarction for the province of Alberta. Each chapter incorporates a unique use-case for government decision makers as well as incorporates applied econometrics to optimize secondary data for health research targeted to these decision makers.
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- Graduation date
- Fall 2019
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- Type of Item
- Thesis
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- Degree
- Doctor of Philosophy
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- License
- Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.