Fabian Fuentes-Rivas

Tecnológico de Monterrey. Escuela de Gobierno y Transformación Pública.

📧 cffuentes@tec.mx

🏢 Tecnológico de Monterrey, Campus Santa Fe

📍 Mexico City, Mexico

I am an economist specializing in applied economics, public policy analysis, and quantitative methods. I recently completed my Master's in Applied Economics at Tecnológico de Monterrey and currently work as a Senior Research Programmer developing climate policy simulation models.

My research focuses on econometric modeling, poverty measurement, and geospatial analysis for policy design under uncertainty. I have extensive experience bridging academic research with practical policy implementation through my work at CONEVAL and collaboration with World Bank teams.

I am particularly interested in the intersection of environmental economics, sustainable development, and computational methods for policy evaluation.

news

Jan 2025 Completed Master's thesis on Simulation-based evaluation of fiscal policy and sustainable transitions 🎓
Dec 2024 Leading new climate pathway modeling project in collaboration with World Bank consultants 🌍
Oct 2024 Presented geospatial policy analysis results to presidential advisors in El Salvador 🗺️
Aug 2024 Promoted to Senior Research Programmer at Tecnológico de Monterrey 🚀

experience

Senior Research Programmer

Tecnológico de Monterrey • 2024–Present

Leading simulation modeling projects for climate pathways in collaboration with World Bank teams. Developing advanced computational models to assess environmental and economic impacts of climate policies using the SiSePuede framework.

Teaching Assistant – Econometrics

Tecnológico de Monterrey • 2023

Supported students in applied econometrics, including causal inference, panel data, and policy evaluation. Designed practice materials and evaluated final projects for graduate-level econometrics courses.

Associate Researcher

Tecnológico de Monterrey • 2023–2024

Conducted behavioral research on decision-making tools in uncertain environments. Applied experimental economics methodologies to understand policy effectiveness under uncertainty conditions.

Deputy Director of Poverty Measurement

CONEVAL • 2020–2024

Managed national poverty metrics and SDG indicators using advanced econometric techniques. Led a team responsible for Mexico's official multidimensional poverty measurements and policy recommendations affecting over 120 million people.

education

Master's in Applied Economics

Tecnológico de Monterrey • 2023–2025

Specialized in econometric modeling, public policy analysis, and quantitative methods for economic research. Completed thesis on simulation-based evaluation of fiscal policy and sustainable transitions.

Bachelor's in Economics

Universidad Autónoma Metropolitana • 2013–2017

Foundation in economic theory, statistical analysis, and quantitative methods with focus on development economics and poverty analysis.

featured projects

SiSePuede Model – Mexico Climate Policy Evaluations

Developed techno-economic models for Mexico's Nationally Determined Contributions (NDCs) using the SiSePuede simulation framework. Collaborated with national institutions and World Bank consultants to prioritize cost-effective climate actions through comprehensive scenario modeling.

Tools: Python, JSON modeling, public policy simulation, GHG abatement cost curves

Geospatial Policy Analysis – El Salvador

Comprehensive mapping and clustering analysis of school infrastructure to support presidential advisors in education policy design. Utilized advanced geospatial techniques to identify optimal locations for educational investments and policy interventions.

Tools: R, QGIS, Spatial Statistics, Clustering Algorithms

Fiscal Incidence Simulation Tool

Designed an R-based microsimulation model to estimate the redistributive and poverty effects of fiscal programs and taxes in Mexico. Adapted income decile targeting and benefit/tax incidence analysis to national survey data (ENIGH).

Tools: R, survey microdata, fiscal microsimulation, incidence curves

selected publications

Multidimensional Poverty in Mexico in the Context of the COVID-19 Health Emergency
Fuentes-Rivas, C.F., et al.
Dimensions, Oxford Poverty and Human Development Initiative (OPHI), 2022

Analysis of the impact of COVID-19 on multidimensional poverty indicators in Mexico, examining changes in health, education, and living standards dimensions using official CONEVAL methodology.

Fiscal Microsimulation and Poverty Measurement: Methods and Applications
Fuentes-Rivas, C.F.
Working Paper, Tecnológico de Monterrey, 2024

Comprehensive methodology for evaluating the redistributive impact of fiscal policies in developing countries using microsimulation techniques applied to Mexican household survey data.

technical skills

Statistical Software

R Python Stata SQL

Econometric Methods

Causal Inference Panel Data Impact Evaluation Microsimulation

Geospatial Analysis

R Spatial QGIS ArcGIS PostGIS

Data Visualization

ggplot2 Tableau Power BI Plotly

Development Tools

Git Docker AWS LaTeX

Research Areas

Environmental Economics Public Policy Poverty Measurement Climate Policy