| ID | 155301 |
| Title Proper | Measuring the impact of military spending |
| Other Title Information | how far does a DSGE model deviate from reality? |
| Language | ENG |
| Author | Lin, Eric S ; Wu, Yi-Hua ; Ho, Chih-Chin |
| Summary / Abstract (Note) | Dunne, Smith, and Willenbockel (2005) argue that the mainstream growth literature has not found military spending to be a significant determinant of economic growth, yet much of the defense economics literature has noted significant effects. This paper revisits this issue by using a DSGE-VAR approach, combining both theoretical and empirical methods. We present that the DSGE approach (estimated with the Bayesian technique) and the Bayesian VAR with the Minnesota Prior both lead to worse in-sample fit than our proposed DSGE-VAR framework. The DSGE-VAR approach reveals that a positive military spending shock boosts the U.S. economy, increasing per capita real GDP growth, consumption, inflation and interest rate. Our results are robust to alternative model specifications. Future investigations such as exploring an optimal military spending policy could adopt the approach in this paper to determine the best model – empirical, theoretical, or a combination of the two. |
| `In' analytical Note | Defence and Peace Economics Vol. 28, No.5; Oct 2017: p.585-608 |
| Journal Source | Defence and Peace Economics Vol: 28 No 5 |
| Key Words | U.S. Military Spending ; DSGE-VAR ; Model Misspecifications |