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To sell or not to sell – Maasai milk marketing in Ngerengere, Tanzania

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  • Loos, Tim K.
  • Zeller, Manfred

Abstract

In Maasai culture, responsibilities and labour are divided between the genders. Men are in charge of the herd and thus control the main income source. Women take care of the family and are responsible for milking. Milk sales provide the women’s main income source. In this paper, using olmarei- (= household) and enkaji- (= sub-household) data from the milk catchment area of a collection centre in Ngerengere, Tanzania, we assess the potential impact of milk sales on enkaji income. We estimate the effect by employing propensity score-matching procedures. Our findings suggest that milk sellers earn significantly higher average income per capita than non-sellers. This appears to be especially true for enkajijik selling milk to other buyers rather than to the collection centre. Other buyers reach more remote areas, usually offer higher prices, but only purchase limited amounts of milk. The collection centre, on the other hand, is a guaranteed market with large capacity.

Suggested Citation

  • Loos, Tim K. & Zeller, Manfred, 2014. "To sell or not to sell – Maasai milk marketing in Ngerengere, Tanzania," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 9(2), pages 1-13, April.
    • Handle: RePEc:ags:afjare:176489
    DOI: 10.22004/ag.econ.176489
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    References listed on IDEAS

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    1. Michael Lechner, 2002. "Program Heterogeneity And Propensity Score Matching: An Application To The Evaluation Of Active Labor Market Policies," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 205-220, May.
    2. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    3. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    4. Maertens, Miet & Swinnen, Johan F.M., 2009. "Trade, Standards, and Poverty: Evidence from Senegal," World Development, Elsevier, vol. 37(1), pages 161-178, January.
    5. A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
    6. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    7. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    8. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    9. Elizabeth Wangui, 2008. "Development interventions, changing livelihoods, and the making of female Maasai pastoralists," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 25(3), pages 365-378, September.
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    Cited by:

    1. Loos, Tim & Zeller, Manfred, 2015. "Income structures of Maasai households- Who benefits whom?," 2015 Conference, August 9-14, 2015, Milan, Italy 212154, International Association of Agricultural Economists.
    2. Tim K. Loos & Manfred Zeller, 2014. "Milk sales and dietary diversity among the Maasai," Agricultural Economics, International Association of Agricultural Economists, vol. 45(S1), pages 77-90, November.

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    Livestock Production/Industries; Marketing;

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