Food Without Fire: Environmental and Nutritional Impacts from a Solar Stove Field Experiment: Replication Package

This README describes the directory structure & Stata packages necessary to replicate all analysis for the paper "Food Without Fire: Nutritional and Environmental Impacts from a Solar Stove Field Experiment" in American Journal of Agricultural Economics. We provide raw data as part of this current repo. We make no guarantee that variables not used in the analysis are cleaned or accurate. The analysis is based on a pre-analysis plan filed with the American Economic Association's registry for randomized controlled trials (ID: AEARCTR-0004054).

Last updated: October 2025.

For issues or concerns with this repo, please contact Jeffrey Michler.

Index

• Contributors
• Data cleaning
• Developing Environment

Contributors

• Laura E. McCann (Writing - original draft, Formal Analysis, Validation)
• Jeffrey D. Michler [jdmichler@arizona.edu] (Writing - review & editing, Writing - original draft, Supervision, Project administration, Formal analysis, Conceptualization, Data curation)
• Maybin Mwangala (Investigation)
• Osaretin Olurotimi (Writing - review & editing, Writing - original draft)
• Natalia Estrada Carmona [n.e.carmona@cgiar.org] (Resources, Funding acquisition, Conceptualization)

Data cleaning

Pre-requisites

The data processing and analysis requires a number of user-written Stata programs:

• 1. blindschemes
• 2. mdesc
• 3. estout
• 4. distinct
• 5. winsor2
• 6. mipolate
• 7. egenmore
• 8. reghdfe
• 9. ftools
• 10. coefplot
• 11. ivreg2
• 12. ranktest
• 13. grc1leg2

The project.do file will help you install these.

Developing Environment

Step 1

Clone this repository https://github.com/AIDELabAZ/solar_stove. The general repo structure looks as follows:

solar_stove
├────README.md
├────project.do
├────LICENSE
├────.gitignore
├────cleaning            /* script files for cleaning data */
├────analysis            /* script files for conducting analysis */
└────data				 /* data for analysis */
     ├────logs			 /* log files */
     ├────raw			 /* raw data */
     ├────refined		 /* cleaned data */
     └────analysis		 /* results */
		   ├────figures /* figures in paper */
		   └────tables	/* tables in paper */

Step 2

Open the project.do file and update the global filepath with your username in Section 0 (a).

 if `"`c(username)'"' == "USERNAME" {
    	global 		code  	"C:/Users/USERNAME/git/solar_stove"
 	global 		data	"C:/Users/USERNAME/solar_stove/data"
 }

Step 3

Run the project.do file. Output tables and figures will be saved to the relevant subfolders in the analysis folder.