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Multiple Regression and the Global Health Observatory Data (2012): Female Life Expectancy, Health Expenditures, and Legislation

Dataset
By: The Odum Institute Published: 2015 | Product: SAGE Research Methods Datasets
Data Type: Numeric
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Abstract

This dataset example introduces readers to multiple regression. This technique allows researchers to evaluate whether a continuous dependent variable is a linear function of two or more independent variables. The multiple regression model is most commonly estimated via ordinary least squares (OLS), and is sometimes called OLS regression. This example uses a subset of data from the 2012 Global Health Observatory Data from the World Health Organization. It presents an analysis of whether a country’s per capita government expenditure on health and that country’s International Health Regulation (IHR) score on legislation predicts female life expectancy in that country. Understanding the factors that predict female life expectancy and how government expenditures translate into female life expectancy is important for making policy decisions about health expenditures and ...

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About This Dataset
Data Source Citation

World Health Organization. (2012). Global Health Observatory Data [Data file]. Retrieved from http://apps.who.int/gho/data/node.main

Full title of originating dataset

Global Health Observatory Data 2012

Data author(s) and affiliations

World Health Organization

Dataset source website address

http://apps.who.int/gho/data/node.main

Data Universe

All countries

Funding sources/suppliers

World Health Organization

Data collection dates

2012

Unit of analysis

Country

Location covered by data

Global

Links to SRM content
List of variables

country

country

pcgovhealth

Per Cap. Govt. Health Expend, US dollars

legislation

IHR Legislation Score

coordination

IHR Coordination Score

surveillance

IHR Surveillance Score

preparedness

IHR Preparedness Score

foodsafety

IHR Food Safety Score

birthrate

Birth Rate per 1000

mlifebirth

Male Life Expectancy at Birth

flifebirth

Female Life Expectancy at Birth

lifebirth

Life Expectancy at Birth

life60

Life Expectancy at Age 60

Methods Map
Multiple regression