Time-Varying Effects of External Shocks on Macroeconomic Fluctuations in Peru: An Empirical Application using TVP-VAR-SV Models
This study uses a family of VAR models with time-varying coefficients and stochastic volatility (TVP-VAR-SV) to analyze the impact of external shocks on output growth and inflation in Peru in 1992Q1-2017Q1. The statistical relevance of the models is assessed using the deviance information criterion (DIC) and the marginal log-likelihood calculated using the cross-entropy (CE) method.
The results show that: (i) it is more relevant to introduce SV than TVP; i.e., the best fitting model admits only varying intercepts and SV; and TVP-VAR and CVAR are the least performing models; (ii) the models impulse response functions indicate that the impacts from external shocks are different under high inflation, economic crisis, and monetary policy change, with a greater impact in episodes of high uncertainty; (iii) the impact and importance of external shocks has increased over time; and (iv) the results are robust to changes in the priors, the lag structure, order of the variables, the external variable, and the variable for domestic economic activity.
External Shocks, Peruvian economy, Bayesian Estimation and Comparison, Macroeconomic Fluctuations, Autoregressive Vectors with Time- Varying Parameters
C11, C32, F41, F62