###### 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

Assignment

- 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