Estimating the time series of knowledge level for Iranian economy (1974-2013)

Abstract:
Research and development expenditure (R&D) in new literature plays an important role in economic growth. Investment in R&D, increase level of knowledge and enhances knowledge, increase production efficiency and from efficiency channel economic growth improved. Many studies have been done on the R&D not used unit of data for this variable. This is due to a lack of labor and the level of investment in R&D (because of the complexity of calculations and measurements of this invisible variable). In this study first, the series of capital and labor at different periods in the R&D was calculated and then the level of knowledge is considered as an unobservable variable in the production. We develop a multi objective recursive algorithm and estimated the level of knowledge series value during 1974-2013. These calculations by the authors can be very important for future studies in field of R&D. It should be noted that all programming of recursive algorithm developed by the authors in MATLAB software. This package written as form of software and it can expansion for different countries.
Language:
Persian
Published:
Journal of Economic Research, Volume:51 Issue: 116, 2016
Pages:
709 to 734
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