Does joining a union raise wages? Following the same workers over two years in Python, we compare seven ways to analyze repeated data and see that the estimated wage gain nearly triples once each worker is compared with the same worker at another time. It comes with an interactive app that runs in your web browser.
When a firm gains or loses workers this year, how much of that change is still there next year? This Python tutorial uses data on 140 British firms to show why simple estimates of this persistence mislead and how more careful methods and checks reach a reliable answer. It comes with an interactive app that runs in your web browser.
How much does war lower the living standards of a country? Using data on 160 countries from 1955 to 2015 in Stata, we follow each country over time to separate the damage of war from lasting national differences, and find that about half of the long-run cost works through weaker institutions. The tutorial includes 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.
How sure can we be about an estimate when the same firms are observed year after year? Using simulated data for 100 firms in Python, we compare several ways of measuring the margin of error and show that no margin of error can fix an estimate that is biased to begin with. It includes an interactive app that runs in your web browser.