Validation of an R&D-based computable general equilibrium model

- Authors evaluate R&D-based CGE model comparing with standard one.
- R&D-based model adds elements of knowledge and reflects spillover effect.
- The estimates from the two models are compared with past 15 year's data of South Korea.
- R&D-based model shows better estimate on industrial growth than standard one does.

A computable general equilibrium (CGE) model is useful for the calculation of macroeconomic effects caused by policy impacts, but it has been considered a sticking point to evaluate how well the CGE model describes the real economy. Among various possible reasons for the difference between the standard CGE model and the real world, this paper focuses on a limited number of primary input factors and a fixed figure for the calibrated coefficient. A CGE model incorporating research and development (R&D) activity is suggested as an alternative to address the problems with the standard CGE model. The proposed model includes the following two setups: (1) a sector's own knowledge is adopted as a production factor, and (2) others' knowledge is regarded as a source of spillover effect to increase the total factor productivity (TFP) coefficient. This R&D-based CGE model is evaluated on whether its correspondence with reality is better than the standard model that omits the two setups. The two models compute baseline scenarios of South Korean economic growth from 1995 to 2010, and these results are compared to actual data. The results show that the R&D-based model fits better than the standard model in cases where the country has high TFP growth.