Are poorer countries catching up to richer ones? Using international income data, we test whether poorer countries grow faster and whether income gaps across the world are shrinking, and we see how the answer changed after 2000. This Stata tutorial comes with an interactive app that runs in your web browser.
Do all countries respond the same way to democracy or inflation? In Stata, we use a method that sorts countries into hidden groups that behave alike, and find that the average link between democracy and economic growth hides a strong positive effect in 57 countries and a negative one in 41. It comes with an interactive app that runs in your web browser.
Which factors truly drive economic growth, such as investment, education or trade? Using 73 countries over four decades, we average across every possible combination of factors instead of betting on a single model, while allowing growth itself to shape those factors. This R tutorial comes with an interactive app that runs in your web browser.
Do carbon emissions first fall, then rise and then fall again as countries get richer? With 12 possible control variables there are thousands of possible models, so we use two data-driven methods that weigh or select the controls and test them on simulated data where we know the right answer. This Stata tutorial comes with an interactive app that runs in your web browser.
When many factors could explain carbon emissions, which ones truly matter? Using simulated data for 120 fictional countries where the right answer is known, this R tutorial compares three methods for choosing which factors to keep and shows that factors flagged by all three are the safest bets. It comes with an interactive app that runs in your web browser.
How can two health measures, life expectancy and infant mortality, be combined into one fair health score? Using simulated data for 50 countries, this Python tutorial builds the index step by step with principal component analysis, a method that finds the single direction capturing most of the shared information. It comes with an interactive app that runs in your web browser.
How can we tell whether regions are developing over time when the measuring stick itself must stay the same? Using education, health and income data for 153 South American regions in 2013 and 2019, this Python tutorial builds one development index from both years together so that scores can be compared across time. It comes with an interactive app that runs in your web browser.
What is the relation between internet usage and democracy?