This paper enlarges on Gutierrez’s results on the power of panel cointegration tests. By a comparison of power of panel cointegration tests, we show how the choice of most powerful test depends on the values of the sample statistics. Country-by-country and panel stationarity and cointegration tests are performed on a panel of 20 OECD countries over the period 1971-2004. Residual-based tests and a cointegration rank test in the system of health care expenditure and GDP are used to test cointegration. Asymptotic normal distribution of these tests allows a straightforward comparison for some values of the sample statistics, residual-based and rank tests are not directly comparable as the power of the residual-based tests oscillates; for other values of the sample statistics, the rank test is more powerful than the residual- based tests. This suggests that a clear-cut conclusion on the most powerful test cannot be reached a priori.
A note on the power of panel cointegration tests. an application to health care expenditure and gdp / Marini, Giorgia. - In: HEALTH ECONOMICS & OUTCOME RESEARCH. - ISSN 2471-268X. - ELETTRONICO. - (2016), pp. 1-4. [10.4172/2471-268X.1000113]
A note on the power of panel cointegration tests. an application to health care expenditure and gdp
Marini Giorgia
2016
Abstract
This paper enlarges on Gutierrez’s results on the power of panel cointegration tests. By a comparison of power of panel cointegration tests, we show how the choice of most powerful test depends on the values of the sample statistics. Country-by-country and panel stationarity and cointegration tests are performed on a panel of 20 OECD countries over the period 1971-2004. Residual-based tests and a cointegration rank test in the system of health care expenditure and GDP are used to test cointegration. Asymptotic normal distribution of these tests allows a straightforward comparison for some values of the sample statistics, residual-based and rank tests are not directly comparable as the power of the residual-based tests oscillates; for other values of the sample statistics, the rank test is more powerful than the residual- based tests. This suggests that a clear-cut conclusion on the most powerful test cannot be reached a priori.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.