HarvestChoice relies heavily on large sets of household survey data to evaluate the economic impact of biophysical productivity responses at the farm level and on target populations.
At the farm level, the impact of technology change is largely driven by holders' attitude towards risk and innovation. In economic impact analysis such attitudes are typically connected to observable household and community attributes — household size and characteristics of the head of household (age, health, gender, and education), consumption patterns, level of participation in local and regional markets, current use of production inputs, and access to extension services.
HarvestChoice is progressively assembling a collection of farm household attributes (with particular relevance to production technology), and using these attributes to characterize and segment populations at the sub-national level. The purpose is to facilitate on-going analysis, replicate research results, and disseminate often hard-to-acquire micro data.
Primary Data Sources
There are two main sources of harmonized micro data in addition to national household surveys:
We currently provide five categories of attributes:
- household attributes (size, urban/rural, male/female-headed, age, education)
- income/expenditure levels
- market participation
- consumption patterns
- production systems (input use intensity)
Estimates (mean and standard deviation) at the sub-national level are disaggregated across the following classes:
- urban vs. rural households
- male-headed vs. female-headed households
- 5 quintiles of total household expenditure (used as a proxy for household income)
The table below shows a list of countries and regions currently covered and a selection of household attributes available for download.
You may need to wait a few seconds for the table to load. Use the filters to switch between countries and to show/hide attributes.
These preliminary harmonized estimates were obtained from Eduardo Magalhães, Datalyze Consulting Corp.
Rural Income Generating Activities, http://www.fao.org/economic/riga/en/
Smith and Subandoro (2007), Measuring Food Security Using Household Expenditure Surveys. http://books.google.com/books?id=NJUN9CxdJiwC&lpg=PP8&ots=hnawOnYg0w&dq=AFINS%20ifpri&pg=PA15#v=onepage&q=AFINS%20ifpri&f=false