The empirical support for a real business cycle model with two technology shocks is evaluated using a Bayesian model averaging procedure. This procedure makes use of a finite mixture of many models within the class of vector autoregressive (VAR) processes. The linear VAR model is extended to permit cointegration, a range of deterministic processes, equilibrium restrictions and restrictions on long-run responses to technology shocks. We find support for a number of the features implied by the real business cycle model. For example, restricting long run responses to identify technology shocks has reasonable support and important implications for the short run responses to these shocks. Further, there is evidence that savings and investment ratios form stable relationships, but technology shocks do not account for all stochastic trends in our system. There is uncertainty as to the most appropriate model for our data, with thirteen models receiving similar support, and the model or model set used has signficant implications for the results obtained.

Additional Metadata
Keywords cointegration, impulse response, model averaging, posterior probability, real business cycle models, stochastic trend, vector autoregressive model
JEL Bayesian Analysis (jel C11), Time-Series Models; Dynamic Quantile Regressions (jel C32), Model Evaluation and Testing (jel C52)
Publisher Tinbergen Institute
Persistent URL
Strachan, R.W, & van Dijk, H.K. (2010). Evidence on a Real Business Cycle Model with Neutral and Investment-Specific Technology Shocks using Bayesian Model Averaging (No. TI-050/4). Discussion paper / Tinbergen Institute (pp. 1–54). Tinbergen Institute. Retrieved from