Data and analysis code for doctoral dissertation: "Effective demand for safer and more reliable water supply in low- and middle-income countries: Evidence from urban Bangladesh and rural Uganda"
Abstract/Contents
- Abstract
These files provide the original data and analysis code for the work presented in the doctoral dissertation "Effective demand for safer and more reliable water supply in low- and middle-income countries: Evidence from urban Bangladesh and rural Uganda" by Daniel W. Smith. The files are organized by chapter of the dissertation that contain scientific manuscripts: Chapters 2, 3, and 4. The programs employed for analysis were Stata 15.1 I/C and Matlab R2018a with functions from the Statistics and Machine Learning Toolbox. To recreate the analyses, download all files associated with a given chapter. Run them in order by the number assigned in this repository and/or in the filename.
The data in file Dhaka_taste_results.csv for Chapter 3 was created by Yoshika S. Crider and are available from: https://osf.io/w6s74/. Data reproduced here with permission.
Description
Type of resource | software, multimedia |
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Date created | 2015 - 2021 |
Creators/Contributors
Author | Smith, Daniel Worthington |
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Subjects
Subject | Stanford Civil & Environmental Engineering |
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Subject | Stanford Woods Institute for the Environment |
Subject | water |
Subject | Bangladesh |
Subject | Uganda |
Subject | demand |
Subject | willingness to pay |
Subject | taste |
Subject | Monte Carlo |
Subject | chlorine |
Subject | chlorination |
Subject | operation and maintenance |
Subject | professionalization |
Subject | handpumps |
Subject | international development |
Genre | Dataset |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution Non Commercial Share Alike 3.0 Unported license (CC BY-NC-SA).
Preferred citation
- Preferred Citation
- Smith, Daniel Worthington. (2021). Data and analysis code for doctoral dissertation: "Effective demand for safer and more reliable water supply in low- and middle-income countries: Evidence from urban Bangladesh and rural Uganda". Stanford Digital Repository. Available at: https://purl.stanford.edu/bc883gb2542
Collection
Stanford Research Data
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- Contact
- dsmith21@stanford.edu
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