M&T specialization
Economic Geography in R

Day 1: Preparation day

- install R, RStudio, and related packages 

- read EconGeo documentation

- read Smart Specialization paper


Day 2: Introduction to R, RStudio, and EconGeo

- Understand what Economic Geography is and why we need specific statistics 
- Familiarize yourself with R, RStudio, and R packages 
- Quick tour of the EconGeo package
- Explain the assignment 

- Video


Day 3: Data management with EconGeo

-Focus on data management
- (Properly!) import in R the data you prepared in day 2
- Transform it with EconGeo
- Practice by computing economic geography indicators 

- Video


Day 4: Co-occurrences and relatedness

- Understand the maths behind co-occurrences between tech and relatedness between tech 
- From 2-mode spatial networks (city-tech, reg-ind, …) compute co-occurrences and relatedness with EconGeo
- Practice using real data and your own data

- Video

Day 5: Relatedness and Econometric Estimation

- Understand the maths behind relatedness density between a given technology and (the technological portfolio) of a given city
- From a relatedness matrix and a 2-mode network matrix, compute relatedness density with EconGeo
- Specify a basic entry model (econometric)
- Practice using real data and your own data

- Video



- Build a related diversification model using real data - see Table 3 in Boschma, Balland and Kogler (2015)
- You can use your own data on the one I will provide
- You need to make a poster – you are free to display results the way you want
- You need to send the poster + the R script by email (p.balland@uu.nl)

- Data