Year Published
- 2008 (0)
- 2009 (0)
- 2010 (0)
- 2011 (0)
- 2012 (0)
- 2013 (0)
- 2014 (0)
- 2015 (0)
- (-) Remove 2016 filter 2016
- 2017 (1) Apply 2017 filter
- 2018 (0)
- 2019 (0)
- 2020 (0)
- 2021 (1) Apply 2021 filter
Research Topics
Populations
- Countries/Governments (0)
- Rural Populations (0)
- Smallholder Farmers (0)
- Women (0)
Types of Research
- (-) Remove Data Analysis filter Data Analysis
- Literature Review (1) Apply Literature Review filter
- Portfolio Review (0)
- Research Brief (0)
Geography
- East Africa Region and Selected Countries (1) Apply East Africa Region and Selected Countries filter
- Global (0)
- South Asia Region and Selected Countries (0)
- Southern Africa Region and Selected Countries (1) Apply Southern Africa Region and Selected Countries filter
- (-) Remove Sub-Saharan Africa filter Sub-Saharan Africa
- West Africa Region and Selected Countries (0)
Dataset
- ASTI (0)
- FAOSTAT (0)
- Farmer First (0)
- LSMS & LSMS-ISA (1) Apply LSMS & LSMS-ISA filter
- Other Datasets (0)
Current search
- (-) Remove Health filter Health
- (-) Remove Agricultural Productivity, Yield, & Constraints filter Agricultural Productivity, Yield, & Constraints
- (-) Remove Data Analysis filter Data Analysis
- (-) Remove 2016 filter 2016
- (-) Remove Global & Regional Public Goods filter Global & Regional Public Goods
- (-) Remove Finance & Investment filter Finance & Investment
- (-) Remove Sub-Saharan Africa filter Sub-Saharan Africa
Common estimates of agricultural productivity rely upon crude measures of crop yield, typically defined as the weight harvested of a crop divided by the area harvested. But this common yield measure poorly reflects performance among farm systems combining multiple crops in one area (e.g., intercropping), and also ignores the possibility that farmers might lose crop area between planting and harvest (e.g., partial crop failure). Drawing on detailed plot-level data from the LSMS-ISA in Tanzania, Nigeria, and Ethiopia, we show how various yield measurement decisions affect estimates of smallholder yields for a variety of crops. We consider the effect of measuring production by plot area, area planted, and area harvested, of trimming the top 1% and 2% of values, and of considering different groups of farmers according to total area planted.