cv

This is my CV Summary. You can find some information of my academic and professional track.

Basics

Name Cesar Ramos
Label Economist
Email paulo.ramos@uni.pe
Phone (+591) 701-200-23
Url https://www.linkedin.com/in/pcesar-ramos
Summary A Bolivian economist specializing in quantitative methods and economic analysis, with research interests in macroeconomics, finance, and machine learning applied to economic policy.

Work

  • 2020.12 - 2025.12
    Researcher
    Ministry of Economy and Public Finance, Bolivia
    Responsible for managing the drafting, review, editing, and publication of the Cuadernos de Investigación Económica Boliviana journal, which promotes research and analysis on key economic issues in Bolivia. Conducts research on fiscal, real, financial, price, and external sectors, applying econometric tools to provide scientific evidence on the impact of economic policies. Actively participates in intra- and inter-institutional technical teams, contributing to economic analysis and the preparation of key reports to support policymaking.
    • MEFP

Volunteer

  • 2022.05 - 2025.05

    Lima, Peru

    Research Assistant
    Research Institute in Economics and Finance
    Assist Professor associated with RIEF in academic research (papers and books).
    • Passing the hand-written professor's notes to LaTeX.
    • Developing Matlab/Python code, and being a Teaching Assistant in any course related to this topic.

Education

  • 2023.08 - 2025.09

    Lima, Peru

    M.Sc.
    National University of Engineering (UNI)
    Master of Science in Economic Engineering
    • Advanced training in economic theory and the application of quantitative tools to equip graduates for conducting high-quality economic research.

Awards

  • 2019.10.01
    Excellence Course in Economics
    Faculty of Economics and Business, University of Chile; Private University of Bolivia; Bolivian Catholic University
    Completed with distinction, ranking 3rd in the program. Key subjects included Econometrics, Macroeconomics and Microeconomics.

Certificates

Macroeconometric Forecasting
International Monetary Fund through edX. 2020-12-20
Monetary Policy Analysis and Forecasting
International Monetary Fund through edX. 2020-08-31
Macroeconomic Diagnostics
International Monetary Fund through edX. 2020-03-21
Data for the effectiveness of public policies
Inter-American Development Bank through edX. 2017-07-10
Financial Programming and Policies, Part 1
International Monetary Fund through edX. 2017-04-01
Latin American Macroeconomic Reality
Inter-American Development Bank through edX. 2016-12-01

Publications

  • 2025.02.18
    Growth-Inequality Trade-off in Tax Policy: A Heterogeneous Agents Approach
    Monzon, Carlos; Ramos, Cesar and Romero, Ivan
    This study analyzes the effects of changes in labor and consumption taxes on macroeconomic variables and income distribution in Bolivia using a heterogeneous agent overlapping generations (OLG) model. The model accounts for differences in productivity by age, idiosyncratic and uninsured income shocks, and permanent heterogeneity in individuals' abilities. Model parameters are calibrated using aggregate macroeconomic data, information from the Household and Employment Survey, and values from the existing literature, ensuring that the simulated moments align with macroeconomic data and accurately replicate Bolivia's income distribution. The findings suggest that lower tax rates enhance capital accumulation, expand labor supply, and stimulate economic growth, primarily benefiting deciles 6 through 9. However, this also leads to a decline in the income share of lower-income groups and an increase in inequality, as reflected in a higher Gini coefficient. Conversely, tax increases generate the opposite effects.
  • 2025.02.12
    Assessing the Demand for Foreign Currency through a Value Storage Lens
    Romero, Ivan; Monzón, Carlos and Ramos, Cesar
    This document analyzes the demand for dollars in Bolivia, emphasizing how individuals turn to foreign currencies as a refuge during periods of economic instability and devaluation expectations. Using the autoregressive distributed lag model (ARDL), the analysis incorporates key variables, including the M2 money supply, real interest rate, inflation, and devaluation expectations, to estimate a dollar demand function. The findings reveal that economic uncertainty and a preference for more stable assets significantly drive dollar demand. These results align with Cagan’s theory, highlighting the inverse relationship between inflation and the willingness to hold local currency. Quantitatively, the estimated demand for dollars in 2023 linked to these factors amounts to approximately $us 760 million.
  • 2024.03.15
    Machine Learning Insights into Bolivia's Economic Downturns
    Cesar Ramos
    This document approaches the critical need for accurate recession prediction in Bolivia by applying machine learning methodologies, specifically Logistic Regression, Random Forests, and Extreme Gradient Boosting. During the past three decades, disruptive events such as pandemics, financial crises, and geopolitical conflicts have highlighted the importance of early warning signals for anticipating economic downturns. However, forecasting recessions is complex due to the rarity of these events and the limited data available. Whereas traditional methods dominate existing literature, Bolivia lacks an official recession predictor. Our approach aims to identify turning points in economic activity through comprehensive data integration, providing a more accurate predictor than conventional methods. We found that real, monetary, and fiscal variables are relevant for predicting this indicator. Even though the findings are not definitive, they contribute to the empirical literature and provide a foundation for future research in this field, eventually assisting policymakers in mitigating the impact of economic recessions.

Skills

Economics
Economic Modelling
Computational Economics
Bayesian Econometric Analysis and Regression and Dynare Toolboxes
Computing Skills in MATLAB, R, Python
Computing Skills in Stata, Julia
Research Tools: Latex, Zotero, Overleaf, Beamer, Tikz

Languages

Spanish
Native speaker
English
Fluent

Interests

Economics
Heterogeneous Agents
Macroeconometrics
Labor Markets
Machine Learning in Econ and Finance
Policy Economics
Fiscal and Monetary Policy

References

Professor Jose Berrospide
Ph.D. in Economics, University of Michigan. Deputy Director of Financial Stability, Federal Reserve.
Professor Hamilton Galindo Gil
Ph.D. in Finance, Assistant Professor at Cleveland State University, researching asset valuation, monetary policy, and global economics.

Projects

  • 2025.01 - 2026.01
    Heterogenoeus Agents and Fiscal Policy
    This project explores heterogeneous agents' impact on informality and fiscal policy, analyzing how diverse economic behaviors influence inequality and develop strategies for effective policy interventions to promote economic inclusion.
    • Heterogeneous Agents
    • Informality
    • Fiscal Policy