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Tabular Data - 2.3 MB - 26 Variables, 13237 Observations - UNF:6:fy9TksWSxF3XsMonyKsvXA==
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Stata Syntax - 4.0 KB -
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STATA Syntax File |
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MD5: 280644de1fe5248eff287f1034171ff4
Signorelli, S., Azzarri, C., & Roberts, C. (2016). Malnutrition and Climate Patterns in the ASALs of Kenya: A Resilience Analysis based on a Pseudo-panel Dataset. Report prepared by the Technical Consortium, a project of the CGIAR. Technical Report Series No. 2: Strengthening the Evidence Base for Resilience in the Horn of Africa. Nairobi, Kenya: A... |
Tabular Data - 5.8 KB - 12 Variables, 31 Observations - UNF:6:rFgUp/0SJszfJxE/JFkHjA==
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Feb 17, 2016
HarvestChoice; International Food Policy Research Institute (IFPRI), 2017, "Sub-national Poverty Statistics in the CGIAR CRP II Priority Countries", https://doi.org/10.7910/DVN/SEPATX, Harvard Dataverse, V2, UNF:6:bxi+f2vGtKpqD0CzB/eotg== [fileUNF]
This dataset contains estimates of the poor and extreme poor rural population within each region (administrative level 1) of the CRPs countries. The poverty lines are defined using the thresholds of 3.10$/day and 1.90$/day respectively, expressed in 2011 PPP $. With the exception of India, all the other estimates are based on authors’ calculations... |
Tabular Data - 11.7 KB - 8 Variables, 157 Observations - UNF:6:bxi+f2vGtKpqD0CzB/eotg==
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Feb 8, 2016
HarvestChoice; International Food Policy Research Institute (IFPRI), 2017, "Five-Year Yield Growth Rates of Major Crops in the CGIAR CRP II Priority Countries", https://doi.org/10.7910/DVN/TS3XYZ, Harvard Dataverse, V2
Yield growth rate (%) of major crop commodities in CGIAR CRP II priority countries were computed using the FAOSTAT-retrieved national crop production statistics data for five most recent years (2009-2013 in most countries; where available, 2014 data was also included). |
ZIP Archive - 6.5 MB -
MD5: eb08e64c9a94053337ffa7aa0661b2dc
See [Notes] sheet for the documentation and methodology. Note the unit of yield is [hg/ha]; to convert to [kg/ha], yield should be divided by 10. |