Bayesian Model Averaging (BMA)

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.