Here is an add-hoc collection of resources, notes and links. I’ve just started jotting them down, mostly for grad students; I’m sure the list will grow longer over time.
This is a geospatial data repository — I keep it mostly for myself, but also for others. Let me know if I’m missing something that should be added!
On writing economics papers:
- Keith Head’s introduction formula
- Marc Bellemare on conclusions
- Four Steps to an Applied Micro Paper, Jesse Shapiro
- Marc Bellemare again on the nitty-gritty of writing applied micro papers
Random code/nerd stuff:
- From DIME: Inspiration and code for data visualization in Stata and in R
- Color patterns listed by HEX and RBG at ColourLovers, ColorBrewer
- Simulations for power calculations by Nick Huntington-Klein
- Convert arc-seconds / arc-minutes to meters by latitude here, and 1 degree to meters by latitude here.
On economics journal ranking:
- Top 50 according to Kalaitzidakis, Mamuneas, and Stengos (2001), sponsored by the European Economics Association, listed with links by OSU’s Jason Blevins
- Rankings according to various impact audiences, by Kodrzycki and Yu (2006)
On publication bias:
- In “Nudge” RCTs (DellaVigna and Linos 2020 working paper)
- In psychology (Kvarven, Strømland, Johannesson 2020)
On intergenerational mobility in the US:
- Blanden 2016: Intergenerational income elasticity (IGE) is lower in the US than it is in Europe or Canada; our mobility is close to that of many developing countries
- Palomino et al. 2017: The poorest quantile of the US experiences the worst mobility, and upper-middle class families the best; low income mobility linked to low educational mobility.
- World Bank: It is easier to climb from the bottom 50% to the top 25% in Tanzania, Ethiopia, China, and Indonesia than it is it the US? (Figure 3.6: 1980s cohort only)
- The geography of intergenerational mobility and how mobility differs by race and gender, both NYT summarizing work by Raj Chetty.