This page contains a collection of the main and most useful resource-related datasets (plus a few others used in my research).

Most analysis by economists using natural resource data requires linking them to some other dataset of interest – for a far more comprehensive collection of socio-economic development data I highly recommend Markus Eberhardt’s DevEconData.

Oil, gas and mineral data

Proprietary databases (please contact me for help on gaining access):

PathFinder database (Wood Mackenzie) //subscription-only// Contains comprehensive global locational data on oil and gas exploration wells, fields, blocks and information on production and investment volumes.
Raw Materials Database (RMG/SNL) //subscription-only// Contains comprehensive global locational data on metal and mineral mines including information on opening years, production and some other variables.

Publicly available data:

Giant Oil and Gas Fields of the World (Compiled by M.K. Horn) //download// Database of all giant oil and gas discoveries exceeding 500 million barrels in ultimately recoverable reserves. Current up to 2010.
Petrodata (PRIO) //download// Petroleum Database
Mineral Resource Data System: Global (USGS) //download//
Wealth of Nations (World Bank) //download// Country-level natural capital and resource rents data.
ResourceData.org (NRGI) //access// Open data library on resources
ResourceContracts.org (various) //access// Global contracts database
ResourceProjects.org (NRGI) //access// Global repository for company tax payment data
Resource Governance Index (NRGI) //download//
RGI Source Library (NRGI) //access// Document library on laws, policies and regulations relating to oil, gas and minerals

Socio-economic and political rights data

Indonesian Family Living Survey (RAND) //download//
Nighttime Lights Time Series (NOAA) //download//
Gridded Population of the World //download//
Augmented Freedom House Political Rights Index//download//
Polity IV //download//

Tools and scripts

On this page you can find some of the tools and programs I find useful in my work.

Stata

  • kountry– a useful tool to merge on a wide variety of different conventions for country names and country (ISO) codes
  • ivreg2 – an extension of instrumental variable commands

Stata and LaTeX

  • listtex – for summary statistics tables from STATA .dta files and writing them to .tex files.
  • estout – useful for creating tables of estimation results in STATA and exporting them to .tex files.

Stata and GIS

  • nearstat – for straight-line distance calculations between two points.
  • spmap – very handy for producing maps of data from spatial datasets.
  • shp2dta – for converting Arc shapefiles to Stata formats.

Python and ArcView

  • dbf_to_csv.py – a script for converting DBF files into CSV files.
  • zonalStats.py – a script for looping across multiple raster files, creating zonal statistics for each of them.