The World Bank’s top 10 biggest debtors – fDi Intelligence

Post date June 3, 2025
Post categories In Illustrated
Tags Data Visualization, Debt, fDi Intelligence, World Bank

Allow me to share a very nice interactive map of World Bank’s top 10 biggest debtors: https://www.fdiintelligence.com/content/686944bf-3818-5791-9f76-b97856fb8607

Post date June 3, 2025
Post categories In Illustrated
Tags Data Visualization, Debt, fDi Intelligence, World Bank

Measuring friendliness and like-mindedness

In his last post, Cullen S. Hendrix from the PIIE proposed to measure friendliness and like-mindedness using mean absolute distance with the US for two variables, the polyarchy…

Post date April 26, 2024
Post categories In Illustrated, Pedagogical Note
Tags Data Visualization, PIIE, Polyarchy score, STATA Code, UNGA Vote Data
2 Comments on Measuring friendliness and like-mindedness

Treemap with Subgroup using Jupyter Notebook

I am still exploring how to draw a Voronoi treemap. Besides, I found a very handy way to plot treemaps with subgroups using a Jupyter notebook. By using…

Post date April 21, 2025
Post categories In Codes and Datasets, Illustrated
Tags Commodity, Data Visualization, Hierachical Treemaps, Jupyter Notebook

Using DBnomics to access subcomponent of ND GAIN scores

Let me show you how to use DBnomics to access a subcomponent of ND GAIN scores. I recommend you to consult my blog series on DBnomics before delving…

Post date January 3, 2025
Post categories In Codes and Datasets, Illustrated, Pedagogical Note
Tags Data Management, Data Visualization, DBnomics, ND-GAIN, Panel Data, STATA Code, University of Notre Dame

Panel VAR with StataNow 18.5 (Natural Disasters)

In a previous blog, I have shown how to estimate Panel VAR with the new command xtvar introduced in StataNow. This time, I will use the EM-DAT database…

Post date April 7, 2025
Post categories In Codes and Datasets, Illustrated
Tags Bond Yields, Climate Risk, Data Visualization, EM-DAT Database, Fiscal Space, Natural Disaster, STATA Code, StataNow 18.5, xtvar

Guest Contribution: “Global shocks, institutional development, and trade restrictions: What can we learn from crises and recoveries between 1990 and 2022?”

Quantile LP with Stata

Using coefplot to visualize the results of several models with Stata

3D plots using Stata and Python

25 percent of my research project with an available replication archive

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Related Posts

Guest Contribution: “Global shocks, institutional development, and trade restrictions: What can we learn from crises and recoveries between 1990 and 2022?”

Quantile LP with Stata

Using coefplot to visualize the results of several models with Stata

3D plots using Stata and Python

25 percent of my research project with an available replication archive