Developing a poverty map of Tajikistan: a technical note
Baschieri, Angela and Falkingham, Jane (2005) Developing a poverty map of Tajikistan: a technical note. Southampton, UK, Southampton Statistical Sciences Research Institute, 47pp. (S3RI Applications and Policy Working Papers, (A05/11) ).
'Poverty maps', that is graphic representations of spatially disaggregated estimates of welfare, are being increasingly used to geographically target scare resources. The development of detailed poverty maps in many low resource settings is, however, hampered due to data constraints. Data on income or consumption are often unavailable and, where they are, direct survey estimates for small areas are likely to yield unacceptably large standard errors due to limited sample sizes. Census data offer the required level of coverage but do not generally contain the appropriate information. This has led to the development of a range of alternative methods aimed either at combining survey data with unit record data from the Census to produce estimates of income or expenditure for small areas (Elbers et al. (2002)). This technical note describes the development of a Poverty Map of Tajikistan combining information from the 2003 Tajikistan Living Standards Survey (TLSS) with 2000 Census data. In order to visually present the spatially disaggregated estimates of welfare in Tajikistan, this project has also involved the production of a digital map of the country showing the administrative boundaries at the time of the 2000 Census at both the rayon (district) and jamoat (lowest administrative area) level.
|Item Type:||Monograph (Working Paper)|
|Subjects:||H Social Sciences > HA Statistics|
|Divisions:||University Structure - Pre August 2011 > Southampton Statistical Sciences Research Institute
|Date Deposited:||03 Jan 2006|
|Last Modified:||03 Mar 2012 16:47|
|Contributors:||Baschieri, Angela (Author)
Falkingham, Jane (Author)
|Date:||28 December 2005|
|Publisher:||Southampton Statistical Sciences Research Institute|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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