Joel C. Nwaubani, Nikos Kapoulas, Georgia Lepida
University of Macedonia, Greece
Abstract
In this study, we consider and estimate the most accurate association model of the Categorical Data Analysis (CDAS) for the total intramural research and development (R&D) expenditure (GERD) by sectors of performance in 21 countries of the EU. The data used in this study are obtained from Eurostat statistical surveys which are regularly conducted at national level covering R & D performing entities in the private and public sectors estimated on actual base year from 2000-2010. Since the main focus is to have a better understanding of the total intramural research and development (R&D) expenditures within the 21 countries of the European Union (EU) according to the sector of performance and the source of funds, the Analysis of Association table (ANOAS) is given in order to ascertain the percentage of the data which is covered by each model. We estimate the association model to find the model that has the best fit but none proved accepted. Therefore, we proceeded to the multivariate model to find the model with the best fit and in conclusion we find out that the multivariate Row-Column Effects Association Model (RC) of the (M = 7) has the best fit among all.
Αναφορά σε αυτή την εργασία (APA):
Nwaubani, J.C., Kapoulas, N., & Lepida, G. (2014). A model for the total intramural research and development (R&D) expenditure (GERD) by sectors of performance within the EU21. Data Analysis Bulletin, 16, 91-103.