Deutschland ist bei BIP / Kopf auf Platz 20 und die usa hat ein BIP / Kopf das 1/6 größer ist als das deutsche (Kaufkraftparitätisch, Daten für 2022 weil ich 2023 keine kaufkraftbereinigten gefunden habe).

I‘d also be interested whether some of these tools need to be cited / mentioned & what the criteria are :)

In a course where we were free to choose the language, I wanted to try Python. Functionalities relating to panel data were too limiting imo, and I remember one common packages doesn’t compute HC (or HAC?) SEs correctly. Ended up combining R & Python using Quarto :)

In which settings would we expect to find large measurement error initially and then ebbing away for newer observations? Perhaps learning effects for interviewers in surveys?

Mistborn series, Warbreaker (free copy on authors webpage), Tress of the Emerald Sea (all by Brandon Sanderson); a history of Venice (Norwich)

What’s the maximum market size for new DiD estimators? (Jk, appreciate the pointers to interesting questions 😄)