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    Regime-Switching, Stochastic Volatility, Fiscal Policy Shocks and Macroeconomic Fluctuations in Peru
    (Pontificia Universidad Católica del Perú. Departamento de Economía, 2024-10)
    Following Chan and Eisenstat (2018a), we use a family of regime-switching models with time-varying parameters and stochastic volatility (RS-VAR-SV) to analyze the evolution of fiscal shocks impacts on Peru's economic growth from 1995Q1 to 2019Q4. Key findings include: (i) identification of two distinct economic regimes with different macroeconomic fundamentals tied to improvements in fiscal and monetary policy; (ii) enhanced model fi with the inclusion of stochastic volatility; (iii) a positive trend in the size of spending multipliers, though they remain below unity; (iv) during the 2008 Global Financial Crisis, capital expenditure shocks mitigated the decline in economic growth by 2 percentage points, highlighting their counter-cyclical potential. These findings are corroborated by robustness checks, which include changes in priors, variable reordering, adjustments in external and demand variables, and extending the sample to 2022Q4 to encompass the COVID-19 crisis.
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    Regime-Switching, stochastic volatilty and impacts of monetary policy shocks on macroeconomic fluctuations in Peru
    (Pontificia Universidad Católica del Perú. Departamento de Economía, 2024-08)
    This paper utilizes regime-switching VAR models with stochastic volatility (RS-VAR-SV) to analyze the impact and evolution of monetary policy shocks and their contribution to the dynamics of GDP growth, inflation, and the interest rate in Peru for the period from 1994Q3 to 2019Q4. The main findings are: (i) the best-fifting models incorporate only SV; (ii) there are two distinct regimes coinciding with the implementation of the inflation targeting (IT) scheme; (iii) the volatility of GDP growth and inflation began to decrease in the early 1990s, while interest rate volatility declined following IT implementation; and (iv) pre-IT, monetary policy shocks accounted for 15%, 30%, and 90% of the forecast error variance decomposition for in ation, GDP growth, and the interest rate in the long term, respectively. Following IT adoption, monetary policy ceased to be a source of uncertainty for the economy. These results are robust to changes in priors, domestic and external variables, the number of regimes, and the ordering and number of variables of the model.