These data are from phone surveys conducted for 1,767 wheat and tomato farmers spread across four districts in the state of Haryana, India.
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Replication Data for: Income, Consumer Preferences, and the Future of Livestock-Derived Food Demand
This dataset contains the data and scripts required to reproduce the tables and figures in the study titled "Income, consumer preferences, and the future of livestock-derived food demand." R scripts were run using R version 4.0.5 on Windows 10 x64
This dataset is the result of the household/pregnant women (PW) survey that was conducted to gather data for the nested cohort part of the impact evaluation study of the Alive & Thrive (A&T) interventions delivered through the Reproductive
This dataset is the result of the health facility assessment survey that was conducted to gather data for the baseline part of the impact evaluation study of the Alive & Thrive (A&T) interventions delivered through the Urban Maternal, Neon
This dataset is the result of the household/pregnant women (PW)/recently delivered women (RDW) survey that was conducted to gather data for the nested cohort part of the impact evaluation study of the Alive & Thrive (A&T) interventions del
This dataset is the result of the household/pregnant women (PW) survey that was conducted to gather data for the nested cohort part of the impact evaluation study of the Alive & Thrive (A&T) interventions delivered through the Reproductive
This dataset is the result of the household/pregnant women (PW) survey that was conducted to gather data for the nested cohort part of the impact evaluation study of the Alive & Thrive (A&T) interventions delivered through the Reproductive
These files comprise data and do-files for reproducing results presented in the article "Taxing Informality: Compliance and Policy Preferences in Urban Zambia" (Resnick, 2020).
This vegetable producer survey was a part of a large-scale vegetable value chain survey which was conducted to understand how the vegetable value chain is transforming in terms of adoption of modern inputs, productivity, quality, and demand for ve
Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017
Using a variety of inputs, IFPRI's Spatial Production Allocation Model (SPAM, also known as MapSPAM) uses a cross-entropy approach to make plausible estimates of crop distribution within disaggregated units.
The project-level Women’s Empowerment in Agriculture Index (pro-WEAI) is a survey-based index designed for use by agriculture development projects to measure project impacts on women’s empowerment, diagnose areas of women’s disempowerment, and inf
These files comprise dataset and do-files for reproducing results presented in the article, "Perceptions of Relative Deprivation and Women's Empowerment" (Kosec, Mo, Schmidt, and Song, 2021).
This dataset includes data and do-files for reproducing results presented in the article "Designing better Input Support Programs: Lessons from Zinc Subsidies in Andhra Pradesh, India." The data used in the analysis of this paper were generated fr
mNutrition was a five-year global initiative supported by the Foreign, Commonwealth & Development Office (FCDO) between 2013 and 2018, organized by GSM Association (GSMA), implemented by in-country mobile network operators, and evaluated by re
This dataset is the result of the volunteer community health promoters (VCHP) survey that was conducted to gather data at baseline as a part of the impact evaluation of the Alive & Thrive (A&T) interventions in Ethiopia.
This is the third round of the Bangladesh Integrated Household Survey (BIHS).
This dataset is the result of the community survey that was conducted to gather data at baseline as a part of the impact evaluation of the Alive & Thrive (A&T) interventions in Ethiopia.
This dataset is the result of the supervisors of health extension workers survey that was conducted to gather data at baseline as a part of the impact evaluation of the Alive & Thrive (A&T) interventions in Ethiopia.
The Feed the Future Phase One Zone of Influence (ZOI) Endline Survey was implemented by IFPRI through Bangladesh Integrated Household Survey (BIHS) 2018-2019.
This dataset is the result of the household survey that was conducted to gather data for the process evaluation part of the impact evaluation of the Alive & Thrive (A&T) interventions in Ethiopia.