R&D Growth and Business Cycles Measured with an Endogenous Growth DSGE Model

We consider how and the extent to which a pure technology shock driven by R&D activities impacts on business cycles as well as economic growth, using a medium-scale neo-classical dynamic stochastic general equilibrium (DSGE) model following Comin and Gertler (2006). We try to identify a pure technology shock by adopting "intellectual property product" first entered in 2008 SNA which can be regarded as R&D activity, and by assuming "time to build" by Kydland and Prescott (1982) in the process converting from innovations to products. Our empirical result based on a Bayesian analysis reports a common stochastic trend driven by the pure technology shock is likely to be procyclical, and it accounts for nearly half of variation of the real GDP whose remaining is explained by business cycle components. Meanwhile, a TFP shock, substituting for the R&D shocks, seems to move the common trend independently with business cycle