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.
Download my CV.
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.
QUIZ: Based on the regression NTL = a + b(t), the map above 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?
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!
(Move the slider and start exploring)
Let’s study regional development from outer space!
(Move the slider and start exploring)
What is luminosity-based GDP? How is it changing across space and time?
(Click anywhere on the map below and discover it.)
(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.
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.
Featured publications
Other Publications
Quickly discover relevant content by filtering publications.
(2023).
Regional Okun’s law and endogeneity: evidence from the Indonesian districts.
Applied Economics Letters.
(2023).
Convergence clubs and spatial structural change in the European Union.
Structural Change and Economic Dynamics.
(2023).
Measuring and understanding regional inequality through the lens of the Indonesian experience.
Asia-Pacific Journal of Regional Science.
(2022).
Regional income convergence and conditioning factors in Turkey: Revisiting the role of spatial dependence and neighbor effects.
Annals of Regional Science.
(2022).
Schooling ain’t learning in Europe: A club convergence perspective.
Comparative Economic Studies.
(2022).
Social and economic convergence across districts in Indonesia: A spatial econometric approach.
Bulletin of Indonesian Economic Studies.
(2022).
Regional convergence and spatial dependence in Thailand: Global and local assessments.
Journal of the Asia Pacific Economy.
Recent & Upcoming Presentations
Students and alumni
Doctoral students
Abdulah Rusli (Indonesia)
PhD student 2023-2026
Chen Yilin (China)
PhD student 2022-2025
Kpoviessi Othniel (Benin)
PhD student 2021-2024
Leiva Favio (Peru)
PhD research student 2023-2024
Li Jiaqi (China)
PhD student 2023-2026
Restrepo Katerine (Colombia)
PhD student 2023-2026
Sour Heng (Cambodia)
PhD student 2023-2026
Theara Khoun (Cambodia)
PhD student 2022-2025
Doctoral students (sub advisor)
Hua Zheng (China)
PhD student 2022-2025
Minh Thu (Vietnam)
PhD student 2022-2025
Phommachanh Nilaphy (Laos)
PhD student 2022-2025
Master students
He Du (China)
Master student 2023-2025
He Yuxing (China)
Master student 2022-2024
Li Xiaomeng (China)
Master student 2023-2025
Lopez Manuel (Chile)
Master student 2023-2025
Najorn Wilaiporn (Thailand)
Master student 2023-2025
Pei Yiruo (China)
Master student 2022-2024
Peralta Hendrix (Dominican Republic)
Master student 2023-2025
Salamanca Sayuri (Colombia)
Master student 2022-2024
Swasdibutra Thaya (Thailand)
Master student 2022-2024
Tunyathip Saengsuwan(Thailand)
Master student 2022-2024
Alumni doctoral graduates
Aginta Harry (Indonesia)
PhD in International Development 2023
Alumni doctoral graduates (sub advisor)
Wenxuan Yang (China)
PhD in International Development 2023
Alumni master graduates
Hua Zhenxiong (China)
Master student 2021-2022
Kimura Yuka (Japan)
Master in International Development 2022
Miranti Cani (Indonesia)
Master in International Development 2021
Santos-Marquez Felipe (Colombia)
Master in International Development 2021
SookYan Siew (Malaysia)
Master in International Development 2022
Utami Balqis (Indonesia)
Master student 2021-2022
Alumni master graduates (sub advisor)
Chung Trinh Thi (Vietnam)
Master in International Development 2022
Tutorials
Discover and execute more tutorials HERE.
An introduction to how to construct, explore, and export spatial connectivity structures (W) using Python.
An introduction to cross-sectional spatial regression analysis in Stata
An introduction to spatial regression analysis for panel data in Stata
A geocomputational notebook to monitor subnational human development using Python. Besides exploratory data analysis, the notebook introduces geospatial mapping, spatial dependence, and spatial inequality.
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.
An introduction to difference in differences with multiple time periods and staggered treatment adoption.
An introduction to difference in differences with multiple time periods and staggered treatment adoption.
Spatial inequality dynamics
A geocomputational notebook to monitor spatial inequality dynamics.
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.
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.
An introduction to the basic differences in differences method using the classical incenerator example of Kiel and McClain (1995)
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.
Measuring the evolution of spatial dependence and spatial inequality
Events
Recent Posts
Contact
- +81 052 789 4345
- Furocho, Chikusa-ku, Nagoya, Aichi, JAPAN 464-8601
- Enter the building of the Graduate School of Internatinal Developoment and turn right to Office 111 on the 1st Floor
- Office hours: Mondays 17:30 to 18:30 (Book an appointment first)
- Book an appointment
- ZOOM Me (Book an appointment first)
- Telegram Me
- DM Me
- carlos [at] gsid.nagoya-u.ac.jp