Carlos Mendez

Carlos Mendez

Associate Professor of Development Economics

Nagoya University, JAPAN

About me

After studying Commercial Engineering in Bolivia and Chile, I worked as a consultant for Pro-Mujer International, The World Bank, DANIDA, and JICA. I have a M.A. and a Ph.D. in International Development from Nagoya University, Japan. My research interests focus on the integration of development economics, spatial data science, and econometrics to understand and inform the process of sustainable development across subnational regions and countries. My current research deals with (1) geospatial inequality and development; (2) regional economic growth and convergence; (3) regional labor markets outcomes and macroeconomic shocks; and (4) structural change and productivity dynamics.

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Interests
  • Regional Development
  • Macroeconomics
  • Spatial Econometrics
  • Spatial Big Data Analytics
Education
  • PhD in International Development, 2015

    Nagoya University

  • MA in International Development, 2012

    Nagoya University

  • Lic in Commercial Engineering, 2008

    Bolivian Catholic University

QuaRCS-lab Japan

In the QuaRCS-lab and its global network, we conduct research on quantitative regional and computational science. We exploit the integration of development economics, spatial data science, and applied econometrics to understand and inform the process of sustainable development across subnational regions and countries.

When the sun goes down and the lights turn on, there’s still a lot to explore.
Let’s study regional development from outer space!


QUIZ: Based on the regression NTL = a + b(t), the map below shows the trends of nighttime lights. An RGB composite is used for visualization, where positive and negative slope values are represented by red and blue gradients respectively, and the intercept is represented by a green gradient.
Given these parameters, how would you interpret the yellow and cyan colors?
(Hint: Copy and paste this quiz into ChatGPT)


What is luminosity-based GDP? How is it changing across space and time?
(Click anywhere on the map below and discover it.)


What can you discover from these visualizations? Where is development happening? How is the world changing? To contextualize these questions, below you will find an overview of recent advances in the exciting new field of geospatial development.
You can also click HERE to see the slides in a separate tab.

Do you conduct similar research? Are you interested in learning these and related topics? Do you want to collaborate with us? If yes, click HERE to join our global community of researchers and learners.

Other Publications

Quickly discover relevant content by filtering publications.
(2023). Regional Okun’s law and endogeneity: evidence from the Indonesian districts. Applied Economics Letters.

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(2023). Convergence clubs and spatial structural change in the European Union. Structural Change and Economic Dynamics.

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(2022). Schooling ain’t learning in Europe: A club convergence perspective. Comparative Economic Studies.

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(2022). Social and economic convergence across districts in Indonesia: A spatial econometric approach. Bulletin of Indonesian Economic Studies.

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(2022). Regional convergence and spatial dependence in Thailand: Global and local assessments. Journal of the Asia Pacific Economy.

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Recent & Upcoming Presentations

Students and alumni

Doctoral students

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Abdulah Rusli (Indonesia)

PhD student 2023-2026

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Chen Yilin (China)

PhD student 2022-2025

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Kpoviessi Othniel (Benin)

PhD student 2021-2024

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Leiva Favio (Peru)

PhD research student 2023-2024

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Li Jiaqi (China)

PhD student 2023-2026

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Restrepo Katerine (Colombia)

PhD student 2023-2026

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Sour Heng (Cambodia)

PhD student 2023-2026

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Theara Khoun (Cambodia)

PhD student 2022-2025

Doctoral students (sub advisor)

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Hua Zheng (China)

PhD student 2022-2025

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Minh Thu (Vietnam)

PhD student 2022-2025

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Phommachanh Nilaphy (Laos)

PhD student 2022-2025

Master students

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He Du (China)

Master student 2023-2025

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He Yuxing (China)

Master student 2022-2024

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Li Xiaomeng (China)

Master student 2023-2025

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Lopez Manuel (Chile)

Master student 2023-2025

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Najorn Wilaiporn (Thailand)

Master student 2023-2025

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Pei Yiruo (China)

Master student 2022-2024

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Peralta Hendrix (Dominican Republic)

Master student 2023-2025

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Salamanca Sayuri (Colombia)

Master student 2022-2024

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Swasdibutra Thaya (Thailand)

Master student 2022-2024

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Tunyathip Saengsuwan(Thailand)

Master student 2022-2024

Alumni doctoral graduates

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Aginta Harry (Indonesia)

PhD in International Development 2023

Alumni doctoral graduates (sub advisor)

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Wenxuan Yang (China)

PhD in International Development 2023

Alumni master graduates

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Hua Zhenxiong (China)

Master student 2021-2022

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Kimura Yuka (Japan)

Master in International Development 2022

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Miranti Cani (Indonesia)

Master in International Development 2021

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Santos-Marquez Felipe (Colombia)

Master in International Development 2021

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SookYan Siew (Malaysia)

Master in International Development 2022

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Utami Balqis (Indonesia)

Master student 2021-2022

Alumni master graduates (sub advisor)

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Chung Trinh Thi (Vietnam)

Master in International Development 2022

Tutorials

Discover and execute more tutorials HERE.
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Exploratory Spatial Data Analysis (ESDA)
An interactive geocomputational notebook to study spatial clusters and outliers
Exploratory Spatial Data Analysis (ESDA)
Studying spatial heterogeneity
A geocomputational notebook to study spatial heterogeneity using the GWR and MGWR frameworks.
Studying spatial heterogeneity
Construct and export spatial connectivity structures (W)
An introduction to how to construct, explore, and export spatial connectivity structures (W) using Python.
Construct and export spatial connectivity structures (W)
Spatial regression in Stata (cross-section)
An introduction to cross-sectional spatial regression analysis in Stata
Spatial regression in Stata (cross-section)
Spatial regression in Stata (panel data)
An introduction to spatial regression analysis for panel data in Stata
Spatial regression in Stata (panel data)
Monitoring subnational human development
A geocomputational notebook to monitor subnational human development using Python. Besides exploratory data analysis, the notebook introduces geospatial mapping, spatial dependence, and spatial inequality.
Monitoring subnational human development
Convergence clubs
The book provides a succinct review of the recent club convergence literature, a comparative view of developed and developing countries, and a tutorial on how to implement the club convergence framework in Stata and R.
Convergence clubs
Staggered DiD (Ex1)
An introduction to difference in differences with multiple time periods and staggered treatment adoption.
Staggered DiD (Ex1)
Staggered DiD
An introduction to difference in differences with multiple time periods and staggered treatment adoption.
Staggered DiD
Spatial inequality dynamics
A geocomputational notebook to monitor spatial inequality dynamics.
Spatial inequality dynamics
Monitoring regional sustainable development
A geocomputational notebook to monitor regional development in Bolivia using Python. Besides exploratory data analysis, the notebook introduces geospatial mapping, spatial dependence, spatial inequality, and spatial heterogeneity.
Monitoring regional sustainable development
Causal effects of a CO2 tax
Theresa Graefe (Ulm University) has created a very nice RTutor that allows you to replicate the main results of a recent AEJ paper on the causal effects of a CO2 tax in Sweden using the syntetic control method.
Causal effects of a CO2 tax
Basic DiD
An introduction to the basic differences in differences method using the classical incenerator example of Kiel and McClain (1995)
Basic DiD
Basic synthetic control
This method constructs a synthetic control unit as a weighted average of available control units that best approximate the relevant characteristics of the treated unit prior to treatment.
Basic synthetic control
Introduction to spatial data science
Measuring the evolution of spatial dependence and spatial inequality
Introduction to spatial data science
Our World in Data
What is the relation between internet usage and democracy?
Our World in Data
Use marginal predictions
Fitting and interpreting linear and logistic regression models
Use marginal predictions

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