Relatedness, Complexity and Local Growth

This repository contains the source material for "Relatedness, Complexity and Local Growth," which was published first as Motu Working Paper 19-01 and subsequently in Regional Studies.

Workflow

We generate data, figures and tables by running the R scripts code/data.R, code/figures.R and code/tables.R (in that order). We run each script in a fresh relatedness-complexity.Rproj instance within RStudio.

Data

data/raw/ contains the raw data used in our analysis.

Dependencies

Our analysis uses several R packages. We identify these packages at the beginning of each R script in code/ and in the log files in logs/. All dependencies can be installed via

# Install CRAN packages
cran_packages <- c(
  "ggraph",
  "igraph",
  "knitr",
  "kableExtra",
  "lfe",
  "reshape2",
  "sessioninfo",
  "stargazer",
  "tidygraph",
  "tidyverse"
)
install.packages(cran_packages)

# Install WGCNA
install.packages("BiocManager")
BiocManager::install("WGCNA")

# Install EconGeo
install.packages("remotes")
remotes::install_github("PABalland/EconGeo")

License

MIT