When a major bridge connected millions of people in northwest Bangladesh to the capital in 1998, did the region's economy take off? This beginner-friendly Python tutorial uses satellite images of nighttime lights to compare the connected region with a similar one that stayed isolated, before and after the bridge opened.
Do industrial parks bring more economic activity to nearby towns, and who benefits? This Python tutorial compares places that got a park with places that did not, before and after it opened, using simulated data modeled on Ethiopia, and also looks at household welfare and outcomes for women. It comes with an interactive app that runs in your web browser.
How did the 2004 tsunami affect the economy of Aceh, Indonesia, over the long run? This beginner-friendly Python tutorial uses simulated data, nighttime lights, and several causal methods to compare damaged and undamaged areas before and after the disaster.
Did the carbon tax that Sweden introduced in 1991 cut carbon emissions from transport, and did it hurt the economy? This Python tutorial builds a look-alike Sweden from other wealthy countries and finds transport emissions about 11 percent lower each year, with no sign of slower economic growth. It comes with an interactive app that runs in your web browser.
Do good institutions make countries richer? This Python tutorial revisits the 2001 study by Acemoglu, Johnson and Robinson, which uses death rates of early European settlers in 64 former colonies to isolate the effect of institutions, and shows that a simple comparison understates that effect. It comes with an interactive app that runs in your web browser.
Did an after-school tutoring program really raise student grades, or were grades rising everywhere? This Python tutorial compares 10 tutored high schools with 25 others, before and after the program, to separate its effect from the general upward trend. It comes with an interactive app that runs in your web browser.