3. Producción

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    How to develop the capital market?: make countries fitness
    (Pontificia Universidad Católica del Perú. Departamento de Economía, 2025-02)
    This paper examines the relationship between the competitiveness of a country’s productive system and the development of its capital markets. Competitiveness is measured using the Economic Fitness Index (EFI), which assess a country’s ability to produce diversified and complex goods. Analyzing panel data from 98 countries (1997–2022), the study finds a significant positive relationship between productive complexity and capital market development, even when controlling for macroeconomic stability, institutional quality, and banking development. The findings suggest that productive complexity enhances the demand for and supply of financial instruments, fostering deeper capital markets. Robustness checks using the Economic Complexity Index (ECI) confirm these results, underscoring the role of economic sophistication in financial market development.
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    COVID-19 and gender differences in the labor market: evidence from the peruvian economy
    (Pontificia Universidad Católica del Perú. Departamento de Economía, 2022-07)
    The COVID-19 and its confinement measures have generated a severe economic contraction around the world. However, there is still no consensus on the magnitude of its immediate effects, particularly in developing countries. Analysts have emphasized not only human capital losses but also an economic recession and increase in economic and social inequalities, including gender differences. Despite the Latin America (LA) countries are most affected in terms of deaths, most studies focus on the impact of COVID-19 on developed countries. Using data from the National House- hold Surveys (ENAHO) from 2019-2021, we studied the impact of the COVID-19’S confinement measures on gender differences in the labor market in Peru, country with one of the biggest death rates. We found that the COVID-19 pandemic and its lockdown measures accentuated gender inequality in labor market. Women have largely decreased the total hours worked than men, particularly due to the reduction of formal employment. More vulnerable women are low-skilled and those who have not worked remotely.
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    Time evolution of external shocks on macroeconomic fluctuations in Pacific Alliance countries: empirical application using TVP-VAR-SV models
    (Pontificia Universidad Católica del Perú, 2022-03)
    This article provides empirical evidence on the evolution of the impact of external shocks on the macroeconomic dynamics of the Pacific Alliance (PA) countries. For this purpose, we estimate a family of VAR models that allows time variation (or constancy) of parameters, including the variance matrix (TVP-VAR-SV). The results suggest that: (i) fluctuations from China create the most significant and persistent responses: a 1% increase in China’s growth raises growth by 0.3%-0.4% during the first year in Chile, Colombia, and Mexico; and by 0.8% in Peru; (ii) responses to export price shocks evolve considerably over time; e.g., the impact on growth in Chile and Peru tripled in 1994-2009 and then moderated until 2019; and (iii) unexpected Fed rate increases result in significant increases in AP countries’ monetary policy rates, an effect that escalates during crisis periods and further deepens the negative impact on domestic output growth. Additionally, variance decomposition shows that external factors explained over 50% of deviations in the domestic variables considered in this work. In particular, the results show that external shock absorption over the sample is higher in Mexico and Peru. In contrast, the change in domestic dynamics in absence of external disturbances would have been milder in Chile and Colombia. Finally, we perform four robustness exercises, which imply the following modifications to the baseline model: (i) changing priors; (ii) modifying two external variables; (iii) using lowdimensional models (4, 5, and 6 variables); and (iv) expanding the model by adding a fiscal policy variable. The results do not change significantly relative to those found using the baseline model.
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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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    Modeling the trend, persistence, and volatility of inflation in Pacific Alliance countries: an empirical application using a model with inflation bands
    (Pontificia Universidad Católica del Perú. Departamento de Economía, 2024-02)
    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.
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    Time changing effects of external shocks on macroeconomic fluctuations in Peru: empirical application using regime-switching VAR models with stochastic volatility
    (Pontificia Universidad Católica del Perú. Departamento de Economía, 2022-03)
    This article quantifies and analyzes the evolving impact of external shocks on Peru’s macroeconomic fluctuations in 1994Q1-2019Q4. For this purpose, we use a group of models with regimeswitching time-varying parameters and stochastic volatility (RS-VAR-SV), as proposed by Chan and Eisenstat (2018). The data suggest a model with contemporaneous coefficients and constant lags and intercepts, but with regime-switching variances; and point to the existence of two regimes. The IRFs, FEVDs, and HDs show that: (i) China growth shocks have a higher impact on Peru’s output growth (around 0.8%); (ii) financial shocks contract domestic output growth by 0.3% and domestic monetary policy is synchronized with Fed rate movements; (iii) external shocks explain 35% and 70% of output fluctuations under regimes 1 and 2, respectively; and (iv) China growth shocks contributed 1.0 p.p. to the 1.1-p.p. increase (around 89%) in Peru’s output growth between regimes 1 and 2. Additionally, we validate these results by performing seven robustness exercises consisting in changing priors, reordering variables, changing variables, and using four different specications for the baseline model.
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    Does the Central Bank of Peru respond to exchange rate movements? a bayesian estimation of a new keynesian DSGE model with FX interventions
    (Pontificia Universidad Católica del Perú. Departamento de Economía, 2021-12)
    This paper assess the role played by the exchange rate and FX intervention in setting monetary policy interest rates in Peru. We estimate a Taylor rule that includes inflation, output gap and the exchange rate using a New Keynesian DSGE model that follows closely Schmitt-Grohé and Uribe (2017). The model is extended to include an explicit sterilized FX intervention rule as in Faltermeier et al. (2017). The main empirical results show, for the pre Inflation Targeting (IT) and IT periods, that the model that clearly outperforms in terms of marginal log density, features a Taylor rule that does not respond to changes in the nominal exchange rate and an active use of FX intervention by the Central Bank. We also find that the coefficient associated with the response of the Taylor rule to inflation is close to 2 and the one associated with the output gap is greater than 1; and that FX intervention has become more responsive to exchange rate fluctuations during the IT period. Finally, the estimated IRFs shows that FX intervention has contributed to reduce the volatility of GDP in response to productivity and terms of trade shocks in Peru.
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    Do institutions mitigate the uncertainty effect on sovereign credit ratings?
    (Pontificia Universidad Católica del Perú. Departamento de Economía, 2022-07)
    In a more integrated economic and financial world, sovereign credit ratings have become one of the most important factors for countries that seek to access funds in the international bond market. First, we jointly analyzed institutions and uncertainty as determinants of sovereign credit ratings, and second, we tested whether strong institutions soften the impact of uncertainty. Using a sample of 74 countries from 2003 to 2020 for the major agencies Moody’s, Standard & Poor’s, and Fitch, and employing an ordered estimator approach, we find that institutions have a positive effect, whereas uncertainty has a negative effect, and the interaction between them is systematically negative. These results indicate that strong institutions reduce the negative effect of uncertainty on sovereign credit ratings.
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    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.
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    The role of technology extension and transfer in firms’ innovation and productivity in Peru
    (Pontificia Universidad Católica del Perú. Departamento de Economía, 2025)
    This study examines how technology extension and transfer services (TETS) drive firm-level innovation and productivity. Since research and development (R&D) investments are subject to market failure, engaging with external agents enables firms to innovate at lower risk and cost. Using data from Peru’s National Innovation Survey (ENI), we apply the Crépon, Duguet, and Mairesse (CDM) model alongside propensity score matching (PSM) to enhance the reliability of our results. Additionally, we employ the generalized propensity score (GPS) method to analyze the sensitivity of innovation and sales outcomes to varying investment levels. The findings confirm that investment in training and external R&D significantly enhances innovation, thereby boosting labor productivity. However, this relationship is nonlinear, suggesting the presence of investment thresholds required to maximize impact.