Name File Type Size Last Modified
  Python-scripts-for-CRU-data-extraction 04/01/2019 09:48:AM
  Study-provinces-GIS-files 04/01/2019 09:46:AM
ClimEducation_PNAS_FINAL.do text/x-stata-syntax 184.7 KB 03/31/2019 11:19:AM
Climate_-1-_to_5.do text/x-stata-syntax 24 KB 03/31/2019 11:19:AM
Climate_6-10_and_11-current.do text/x-stata-syntax 3.7 KB 03/31/2019 11:19:AM
IPUMS-inclusion-criteria-.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 11.7 KB 04/01/2019 05:24:AM

Project Citation: 

Randell, Heather, and Gray, Clark. Climate Change and Education in the Global Tropics. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-04-01. https://doi.org/10.3886/E109141V1

Project Description

Summary:  View help for Summary This project contains the Stata code as well as additional information used for the following paper:

Randell, H & C Gray (Forthcoming). Climate Change and Education in the Global Tropics. Proceedings of the National Academy of Sciences.

The data are publicly available and can be accessed freely. The census data were obtained from IPUMS-International (https://international.ipums.org/international/) and the climate data were obtained from the CRU-Time Series Version 4.00 (http://data.ceda.ac.uk//badc/cru/data/cru_ts/cru_ts_4.00/).

We include three do-files in this project:
  • "Climate_-1_to_5.do" -- this file was used to convert the climate data into z-scores of climatic conditions experienced during ages -1 to 5 years among children in the sample. 
  • "ClimEducation_PNAS_FINAL.do" -- this file was used to process the census data downloaded from IPUMS-International, link it to the climate data, and perform all of the analyses in the study.
  • "Climate_6-10_and_11-current.do" -- this file was used to convert the climate data into z-scores of climatic conditions experienced during ages 6-10 and 11-current age among children in the sample.
In addition, we include a shapefile (as well as related GIS files) for the final sample of analysis countries. The attribute "birthplace" is used to link the climate data to the census data. 

We include Python scripts for extracting monthly climate data for each 10-year temperature and precipitation file downloaded from CRU. "py0_60" extracts data for years one through five, and "py61_120" extracts data for years six through ten.

Lastly, we include an excel file with inclusion/exclusion criteria for the countries and censuses available from IPUMS.



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