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dc.creatorJohnson, G. E.
dc.creatorWhitelaw, W. E.
dc.date2011-04-04T13:45:31Z
dc.date2011-04-04T13:45:31Z
dc.date1972
dc.date.accessioned2012-11-10T12:54:38Z
dc.date.available2012-11-10T12:54:38Z
dc.date.issued10-11-12
dc.identifierJohnson, G.E. & Whitelaw, W.E. (1972) Urban-rural income transfers in Kenya: an estimated remittances function. Discussion Paper 137, Nairobi: Institute for Development Studies, University of Nairobi
dc.identifierhttp://opendocs.ids.ac.uk/opendocs/handle/123456789/494
dc.identifier318913
dc.identifier.urihttp://erepository.uonbi.ac.ke:8080/handle/123456789/1851
dc.description.abstractThis paper examines the phenomenon of urban-rural income transfers. The data was collected as part of the Nairobi Urban Study, which included questions on basic socio-economic variables as well as on income remittances. The sample was confined to African low and middle income areas. The data is analysed by regression analysis using variables of income remitted, income earned, wives and children both in and out of Nairobi and indices of the workers attachment to the urban versus his rural area. The results show that the amount that an individual transfers is systematically related to income and other socio-economic variables, and that the total transfer represents about a fifth of the urban wage bill. The final section discusses some of the implications of the findings, particularly the extent to which the welfare of urban and rural residents is interlinked; the importance of the number and closeness of relatives in the high wage sector, and the implications of the decline of the proportion of income remitted as wages rise.
dc.languageen
dc.publisherInstitute for Development Studies, University of Nairobi
dc.relationDiscussion Papers;137
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/
dc.rightsInstitute for Development Studies, University of Nairobi
dc.subjectEconomic Development
dc.subjectMigration
dc.titleUrban-rural income transfers in Kenya: an estimated remittances function
dc.typeSeries paper (non-IDS)


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