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Item type:Publication, Impact of Monetary Policy Shocks in the Peruvian Economy Over Time(Pontificia Universidad Católica del Perú. Departamento de Economía, 2023-08)We investigate the evolution of the impact of monetary policy (MP) shocks in Peru in 1996Q1-2018Q2 using a set of time-varying parameter vector autoregressive models with stochastic volatility (TVP-VAR- SV), as proposed by Chan and Eisenstat (2018). The main results are: (i) the volatilities, intercepts, and contemporaneous coe cients change more gradually than VAR coe cients over time; (ii) the volatility of MP shocks falls from 4% to 0.3% on average during the In ation Targeting (IT) regime; (iii) in the long run, a contractionary MP shock decreases both gross domestic product (GDP) growth and in ation by 0.28% and 0.1%, respectively; (iv) the interest rate reacts faster to aggregate supply shocks than to both aggregate demand shocks and exchange rate shocks; (v) under the pre-IT regime, MP shocks explain almost 20%, 10%, and 85% of the uncertainty in GDP growth, in ation, and the interest rate, respectively; and under the IT regime, all these percentages shrink to 1-2%. The sensitivity analysis con rms the robustness of the main results across various prior speci cations, measures of external and domestic variables, and recursive identi cations. In general, the results show that MP has contributed to diminishing macroeconomic volatility in Peru. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, External Shocks and Economic Fluctuations in Peru: Empirical Evidence using Mixture Innovation TVP-VAR-SV Models(Pontificia Universidad Católica del Perú. Departamento de Economía, 2024-01)We employ a family of mixture innovation, time-varying parameter VAR models with stochastic volatility (TVP-VAR-SV) to analyze the impact of external shocks on Peru’s GDP growth, inflation, and interest rate from 1998Q1 to 2019Q4. Our key findings are as follows: (i) the model best fitting the data features time-varying parameters and variances with a certain likelihood; (ii) impulse-response functions reveal that a 1% increase in the growth rate of Peru’s major trading partners (China and the U.S.) leads to a domestic GDP growth expansion of 0.65% and 0.21%, respectively; (iii) the forecast error variance decomposition shows that external shocks account for 65% of the long-term variability in output, 65% in inflation, and 67% in the interest rate; (iv) historical decomposition indicates that external shocks account for 50% of domestic GDP growth, particularly from 2002 onward. Lastly, we validate the results obtained in the primary specification through four robustness exercises - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The inflation uncertainty-inflation relationship: time variation across Latin America and the G7(Pontificia Universidad Católica del Perú. Departamento de Economía, 2025-03)This paper examines the evolution of the inflation uncertainty-inflation relationship in seven Latin American countries and the G7 from Q1 1948 to Q4 2023, using the time-varying parameter stochastic volatility in mean (TVP-SVM) model of Chan (2017) and its extension incorporating time-varying mixture innovations (TVP-SVM-TVMI) from Hou (2020). The key findings are as follows: (i) the TVP-SVM model is preferred in 8 out of 14 countries; (ii) inflation uncertainty has been higher in Latin America than in the G7, particularly during the 1980s "lost decade"; (iii) log-inflation uncertainty is more persistent in Latin America; (iv) there is no evidence supporting the hypothesis of Friedman (1977) in any of the countries analyzed; (v) the Cukierman-Meltzer hypothesis (1986) holds, as the uncertainty-inflation relationship is positive and time-varying in all countries; (vi) this relationship is stronger and statistically significantduring periods of high inflation uncertainty; and (vii) there is evidence of more structural breaks in this relationship in Latin America than in the G7. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Modeling the Trend, Persistence, and Volatility of Inflation in Pacific Alliance Countries: An Empirical Application Using a Model with Inflation Band(Centro de Investigacion y Docencia Economicas A.C., 2025-02-08)This paper estimates and analyzes the dynamics of trend inflation, as well as the persistence and volatility of the inflation gap in the Pacific Alliance countries (Chile, Colombia, Mexico, and Peru). For this purpose, the econometric approach is based on methodologies proposed by Stock and Watson (2007) and Chan et al. (2013). Among these, the AR-Trend-Bound model considers the implications of inflation targeting in estimating the unobserved components of inflation. The results indicate that this model effectively allocates most of the permanent component to trend inflation. Additionally, a decreasing trend in inflation in the 1990s, stabilization in the first two decades of the 21st century, and a growing trend inflation following the onset of the COVID-19 pandemic are observed in all four countries. The low levels of inflation gap persistence prior to the pandemic reflect the effectiveness of central banks in maintaining inflation close to its trend level. Finally, the volatility of the inflation gap identifies the “Great Moderation” of inflation, with increases in volatility during the pandemic reaching levels similar to those estimated in the 1990s.2