Tips for RAs

Below is a collection of guides and tip-sheets for applied micro RAs. I take credit for none of them, they're the work of many others dedicated to helping RAs. I'm collecting them here so they're in one place.

General Tips

• Tips for RAs from Livia Alfonsi

• Ryan Edwards' version of this collection

• Jesse Shapiro on writing papers, on coding, and on giving talks

• Donald Cox on the Big 5 Ideas for presentations

Using ArcGIS

Masayuki Kudamatsu on inference in GIS

Melissa Dell on GIS for applied economists

Stata

Cheat sheets

Data visualization

From the JEP

Advice on resources for R from Brandon de la Cuesta:

I think swirl (https://github.com/swirldev/swirl_courses#swirl-courses) is quite good cause its in the R environment (interact directly in R studio or whatever ide they choose) and there are a host of courses they can choose from

• one of which is the getting and cleaning data course which covers dplyr, tidyr, lubridate, etc (https://swirlstats.com/scn/getclean.html)

• the R programming one i think is probably a reasonable place to start off or this very short intro to R one (https://swirlstats.com/scn/A_(very)_short_introduction_to_R.html)

• for spatial data resources i think these have been mentioned before but this using spatial data with R is a good short intro (https://cengel.github.io/R-spatial/) and geocomputation with R (https://geocompr.robinlovelace.net/spatial-class.html) is a good long treatment of spatial data