Milking the Data : Measuring Income from Milk Production in Extensive Livestock Systems -- Experimental Evidence from Niger
Milk is an important source of cash and nutrients for many households in developing countries. Yet, the understanding of the role of dairy production in livelihoods and nutritional outcomes is hindered by the lack of decent quality household survey...
| Main Authors: | , , , |
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| Format: | Policy Research Working Paper |
| Language: | English en_US |
| Published: |
World Bank Group, Washington, DC
2014
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| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/2014/11/20389459/milking-data-measuring-income-milk-production-extensive-livestock-systems-experimental-evidence-niger http://hdl.handle.net/10986/20652 |
| Summary: | Milk is an important source of cash and
nutrients for many households in developing countries. Yet,
the understanding of the role of dairy production in
livelihoods and nutritional outcomes is hindered by the lack
of decent quality household survey data. Data on milk
off-take for human consumption are difficult to collect in
household surveys for several reasons that make accurate
recall challenging for the respondent (continuous production
and seasonality, among others). As a result, the
quantification and valuation of milk off-take is
particularly difficult in household surveys, introducing
possibly severe biases in the computation of full household
incomes and farm sales, as well as in the estimation of the
contribution of livestock (specifically dairy) production in
agricultural value added and the livelihoods of rural
households. This paper presents results from a validation
exercise implemented in Niger, where alternative survey
instruments based on recall methods were administered to
randomly selected households and compared with a 12-month
system of physical monitoring and recording of milk
production. The results of the exercise show that reasonably
accurate estimates via recall methods are possible and
provide a clear ranking of questionnaire design options that
can inform future survey operations. |
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