teaching
Materials for courses you taught.
The ABCs of Regression Discontinuity
This course is designed for researchers with a basic understanding of quantitative analysis but willing to deepen into the various statistical and econometric techniques related to causal inference analysis. By the end of the course researchers will be able to:
- understand and critically engage with terminology and concepts behind causal identification.
- understand and perform causal inference designs in Stata or R.
- critically assess checks and threats of causal inference designs
You can read more abour the course here
- New date!! RECSM Summer School 2024: 01-03 July, Univerisdad Pompeu Fabra, Barcelona (Spain)
- Tought at TNSQUARE 2023: 26 October, Università di Trento, Trento (Italy)
Drawing Maps in R
This is an introductory course on spatial data I taught within the CLIC Training workshops as part of the GEOSMITE Project at the European University Institute in 2020.
Lab’s Goals
- Introduce researchers to basic GIS concepts and how to read traditional GIS shapefiles in R
- Introduce researchers to the map outlines available in the maps package
- Show how to convert those data into data frames that ggplot2 can deal with
- Use ggmap and ggplot2 to make some pretty maps
- Discuss some ggplot2 related issues about plotting
- Using sp to plot maps with different projections
- Bonus: calculate distances and applications
You can click here to find and use all the materials for this course.