﻿Please cite as: 
Cagé, Julia and Valeria Rueda, "The long-term effects of the printing press in sub-Saharan Africa", American Economic Journal: Applied Economics, vol. 8 (3), 2016.

The file "Mission_Shapefile.shp" contains the shapefile for the missions with their id that looks like: “pp_XX_YY”. XX is either 0 or 1, and “YY” is a number from 0 to 723. This id is a unique identifier for each mission.
 
The file missiondata.dta is a STATA file giving investment and geographic characteristics from multiple sources (the Missionary Atlas, HYDE, Nathan’s slavery data, Murdock, GAEZ). 

Investment characteristics are defined in variables in the form "XX_stat" or
"stat_XX" and they are labeled. 

The variables "Denom_XXXXX" are binary variables equal to 1 if the mission belongs
to the society "XXXXX”. 
The variable “society” gives the mission’s society (XXXXX). 

The file "Societies_Nomenclature.xlsx" gives the full society name corresponding to the abbreviation "XXXXX”

The variable “denomination” gives the denomination (Lutheran, Anglican, etc.) of society “XXXXX”. 