Halkos, George (2010): Exploring Greek innovation activities: the adoption of generalized linear models.
Download (207Kb) | Preview
In this paper we examine the innovative performance of Greek firms in terms of the women participation in research and technological development. For this reason we rely on the final results of a research project on women in innovation, technology and science, based on 279 questionnaires selected on a two years time period (2004-2006). Concerning the female participation in innovations a number of variables are used, like the total number of women employees by age, by education level, by firm size and by sector, as well as women in product and in process innovations, their position in the firm (owner, manager) and finally equality in job enrichment, in salary, in education–training and in promotion. Apart of presenting the empirical results relying on the analysis of the data collected by the survey to the Greek enterprises, we use the collecting variables in an econometric formulation using logistic regression and extracting the associated probabilities for implementing innovations. For this reason, first the General Linear Model (GLIM) is introduced and statistical inference and estimation problems are discussed. Then the Logit Model is presented under the theoretical framework of the Generalized Linear Models (GLIM), while some theoretical inside is extended with a number of suggested propositions and theorems.
|Item Type:||MPRA Paper|
|Original Title:||Exploring Greek innovation activities: the adoption of generalized linear models|
|Keywords:||Innovation; Entrepreneurship; Competitiveness; Diversity|
|Subjects:||C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C10 - General
Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics > Q5 - Environmental Economics > Q55 - Technological Innovation
L - Industrial Organization > L2 - Firm Objectives, Organization, and Behavior > L26 - Entrepreneurship
O - Economic Development, Technological Change, and Growth > O3 - Technological Change; Research and Development; Intellectual Property Rights > O31 - Innovation and Invention: Processes and Incentives
|Depositing User:||Nickolaos Tzeremes|
|Date Deposited:||12. Aug 2010 21:08|
|Last Modified:||16. Feb 2013 00:58|
Cox, D.R. and Hinkley, D.V. (1974). Theoretical statistics. Chapman and Hall, London
Foray, D. (2000). “Characterising the Knowledge Base: Available and Miss¬ing Indicators”, pp. 239-255. In OECD. ed. Knowledge Management in the Learning Society. Paris: OECD, 2000.
Hair, J.F, Anderson R.E, Tatham, R.L and Black, W.C. (1998). Multivariate data analysis, Prentice Hall, Fifth Edition
Halkos G. E. (2006). Econometrics: Theory and Practice, Giourdas Publications
Hosmer D., W and Lemeshow S. (1989). Applied logistic regression, John Wiley and Sons, New York
Kitsos C. P. et.al. (2006). Women and Innovation: Determinant factors and obstacles of innovative activity of Greek firms: 2000-2003: ARCHIMEDES research project, Athens.
Kitsos C. P. and Edler L. (Eds) (1997). Industrial Statistics. Physica-Verlag.
Kitsos, C. P. (2006). On the Logit Methods for Ca Problems. In Statistical Methods for Biomedical and Technical Systems, by F. Vonta (Ed), Limassol, Cyprus, pg 335-340.
Kleinbaum D.G. (1994). Logistic regression: A self learning text, Springer-Verlag, New York.
Kleinbaum D., G. and Kupper L.,L., Muller KE. and Nizam A. (1999). Applied regression analysis and other multivariate techniques, Duxbury, Third Edition.
Myers, S. and Marquis, D.G. (1969) Successful Industrial Innovation. Washington D.C.: National Science Foundation.
Nedler, J.A. and Weddenburn, R.W. M. (1972). Generalized Linear Models, Journal of Royal Statistical Society A, 135, 370-384.
Nelson, R.R. (1993). National Innovation Systems: a Comparative Analy¬sis. Oxford Univ Press. Oxford
OECD (1996) . The Knowledge-Based Economy. Paris : OECD, 1996.
OECD (1999). Managing National Innovation Systems. Paris : OECD.
OECD (2001). Innovative Clusters: Drivers of National Innovation Sys¬tems. Paris: OECD.
Scherrish, M.J. (1995). Theory of Statistics, Springer Series in Statistics
Sharma S. (1996). Applied multivariate techniques, John Wiley and Sons, New York
Schmookler, J. (1996). Invention and Economic Growth. Cambridge: Harvard Univ. Press
Von Hippel, E. (1994). The Sources of Innovation. Oxford : Oxford Univer¬sity Press.