Volume 8, Issue 1, September 2014, Pages 341–345
O.S Babatunde1, O. S Balogun2, and T.J. Akingbade3
1 Department of Mathematics,Statistics&Computer Science, Kwararafa University, Wukari, Taraba State, Nigeria
2 Department of Statistics and Operations Research, Modibbo Adama University,Yola, Adamawa State, Nigeria
3 Department of Statistics, Kogi State University, Ayingba, Kogi State, Nigeria
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This research work compared the power of some specification error test using bootstrapping experiment to generate the data for each of the models at different sample sizes (n) 20, 30, 50, and 80 respectively, each with 100 replications(r). The models in this research consist of three omitted variables. For the models considered, the experiment reveals that the Ramsey Regression Equation Specification Error Test (RESET test) is more efficient than that of Q test in detecting the error of omitted variable in specification error.
Author Keywords: Bootstrap, Error, Simulation, Specification, RESET, Q test.
O.S Babatunde1, O. S Balogun2, and T.J. Akingbade3
1 Department of Mathematics,Statistics&Computer Science, Kwararafa University, Wukari, Taraba State, Nigeria
2 Department of Statistics and Operations Research, Modibbo Adama University,Yola, Adamawa State, Nigeria
3 Department of Statistics, Kogi State University, Ayingba, Kogi State, Nigeria
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
This research work compared the power of some specification error test using bootstrapping experiment to generate the data for each of the models at different sample sizes (n) 20, 30, 50, and 80 respectively, each with 100 replications(r). The models in this research consist of three omitted variables. For the models considered, the experiment reveals that the Ramsey Regression Equation Specification Error Test (RESET test) is more efficient than that of Q test in detecting the error of omitted variable in specification error.
Author Keywords: Bootstrap, Error, Simulation, Specification, RESET, Q test.
How to Cite this Article
O.S Babatunde, O. S Balogun, and T.J. Akingbade, “Comparative Appraisal of some Specification Error Test,” International Journal of Innovation and Applied Studies, vol. 8, no. 1, pp. 341–345, September 2014.
