Health care expenditures and GDP: panel data unit root test results

Area of Science:

• Econometrics
• Health Economics
• Panel Data Analysis

Background:

• Unit root testing is crucial for time series analysis in economics.
• Previous studies often used country-by-country tests, potentially overlooking panel data structures.
• National health care expenditures and GDP are key macroeconomic indicators.

Purpose of the Study:

• To apply panel unit root tests to per capita national health care expenditures and GDP for OECD countries.
• To address potential misspecification in panel data analyses of health expenditures.
• To improve the robustness of econometric findings in health economics.

Main Methods:

• Utilized panel unit root tests, leveraging the structure of OECD data.
• Applied the chosen methodology to time series data on per capita national health care expenditures.
• Applied the chosen methodology to time series data on per capita gross domestic product (GDP).

Main Results:

• Successfully rejected the null hypothesis that the time series contain unit roots.
• Demonstrated the utility of panel data approaches over country-by-country methods.
• Provided evidence against the presence of unit roots in these specific economic series.

Conclusions:

• The results mitigate concerns regarding the misspecification of panel data analyses in health economics.
• Panel unit root testing offers a more powerful approach for this type of data.
• Further econometric research in health expenditures should consider panel data methodologies.