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CITATION

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Evans School Policy Analysis & Research Group (2024). Agricultural Development Indicator Curation [Stata .do files]. University of Washington: C. Leigh Anderson, Andrew Tomes, and Didier Alia* with contributions from Travis W. Reynolds, Pierre Biscaye, David Coomes, Elan Ebeling, Nezih Evren, Kelsey Figone, Terry Fletcher, Nina Forbes, Ushanjani Gollapudi, Claire Gracia, Josh Grandbouche, Tiffany Ha, Basil Hariri, Conor Hennessy, Rebecca Hsu, Helen Ippolito, Claire Kasinadunhi, Samuel Kenney, Muel Kiel, Marina Kaminsky, Jack Knauer, Namrata Kolla, Ibrahim Telli Koroma, Chae Won Lee, Lucero Marquez, Joaquin Mayorga, Micah McFeely, Josh Merfeld, Amaka Nnaji, Ahana Raina, Anu Sidhu, Carly Schmidt, Surabhi Subedi, Isabella Sun, Federico Trinidade, Jacob Wall, Ayala Wineman, & Sebastian Wood. Retrieved from https://evans.uw.edu/policy-impact/epar/research/agricultural-development-indicator-curation.
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*Corresponding author: refer to website for contact information
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University of Washington, Evans Policy Analysis and Research Group (EPAR) (2025) Living Standards Measurement Study - Integrated Surveys on Agriculture: Processed Datasets for Ethiopia ESS, Malawi IHS/IHPS, Nigeria GHS, Tanzania NPS, and Uganda NPS from 2009-2022.

README.md

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Each .do file takes as inputs the raw data files organized according to how the data from the World Bank LSMS-ISA team are organized. The .do files process the raw data and store created data sets in the folder "Final DTA files". Three final data sets are created at the household, individual, and plot levels with labeled variables, which can be used to estimate sumary statistics for the indicators and for a variety of intermediate variables. At the end of the .do file, a set of commands outputs summary statistics restricted to rural households only to an excel file also in the folder "Final DTA files". The code for generating summary statistics may be modified as needed, or users may conduct analyses directly from the final created datasets. We include the three final datasets and spreadsheet of gender-disaggregated summary statistics in the repository, under the "Final DTA files" folder.
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We also have prepared a document outlining the general construction decisions for each indicator across survey instruments, which are reflected in the coding of the .do files. We have attempted to follow the same construction approach across instruments, but note any situations where differences in the instruments made this impossible. The document includes coding decisions for all included waves in Ethiopia ESS, Malawi IHS, Nigeria GHS, Tanzania NPS, and Uganda NPS. We have compiled a set of summary statistics for the final indicators restricted to rural households only in an Excel spreadsheet for these five instruments, available on the [EPAR website](https://epar.evans.uw.edu/agricultural-development-data-curation/) and [Data Dissemination repository](https://github.com/EvansSchoolPolicyAnalysisAndResearch/LSMS-Data-Dissemination). The do files available in this repository may not reflect the estimates published in the excel spreadsheet as the latter is updated less frequently. The reference commit for the data is given in the data repository.
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These do files are a product of over a decade's worth of insights and work from postdoctoral scholars, research scientists, and research assistants. In addition to project leads C. Leigh Anderson and Didier Alia, we gratefully acknowledge the following contributors: Travis W. Reynolds, Pierre Biscaye, and David Coomes, and David Aplyn, Elan Ebeling, Nezih Evren, Kelsey Figone, Terry Fletcher, Nina Forbes, Ushanjani Gollapudi, Claire Gracia, Josh Grandbouche, Tiffany Ha, Basil Hariri, Conor Hennessy, Rebecca Hsu, Helen Ippolito, Claire Kasinadunhi, Samuel Kenney, Muel Kiel, Marina Kaminsky, Jack Knauer, Namrata Kolla, Ibrahim Telli Koroma, Chae Won Lee, Lucero Marquez, Joaquin Mayorga, Micah McFeely, Josh Merfeld, Shreyaa Lakshmi Narayanan, Amaka Nnaji, Ahana Raina, Anu Sidhu, Carly Schmidt, Surabhi Subedi, Isabella Sun, Andrew Tomes, Federico Trindade, Jacob Wall, Ayala Wineman, & Sebastian Wood.

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