Time-Varying Impact of Fiscal Shocks over GDP Growth in Peru: An Empirical Application using Hybrid TVP-VAR-SV Models
This paper estimates hybrid TVP-VAR-SV models suggested by Chan and Eisentat (2018a) in order to identify and quantify the impact of fiscal shocks on the GDP growth of Peru during 1995- 2018. According to Bayesian criteria, the best model present time-varying dynamics but not in all parameters. The results suggest: (i) fiscal shocks are significant according to the calculus of the IRFs, FEVD and HD of the GDP growth; (ii) tax revenue shocks are less important and its impact depends on the selected model and the quarter when the shock occurs; (iii) effect of capital expenditure shocks are the most important drivers of GDP growth; (iv) both fiscal expenditure shocks have been growing over the last 20 years. Finally, we suggest constant revisions of the fiscal multipliers and we think that in the following years, countercyclical fiscal policy in Peru should be mostly driven by capital expenditure.
Peruvian economy, Bayesian Methods, Hybrid TVP-VAR-SV models, Fiscal Multipliers, Fiscal policy
C11, C32, E62, H30