Teaching and resources

Applied microeconometrics in R

I teach an advanced masters/Ph.D. class on applied microeconometrics in R. The resources are available on my Github page, here.

• The raw markdown files for the slides contain plenty of useful comments and examples.
• Please feel free to make use of any of the code. Or, if you have questions, feel free to e-mail me!

Working with others

I put together some slides for our Ph.D. students focused on setting up projects when working with others. These slides focus on two things:

1. Using Dropbox to keep all files up to date
2. Using relative paths so that files run on everyone’s computer

You can view the slides here.

Geospatial data and small area estimation

Stay tuned for a primer aimed at discussing the ins and outs of integrating geospatial data and survey data for small area estimation in R, with a particular emphasis on improving estimates of SDGs.

• This work is with UN Stats and is aimed at practitioners and national statistics offices, but it will also contain a short guide on using geospatial data.
• In the meantime, please check out UN Stats’ SAE4SDG page, here.