Publication: Poverty Mapping in Tajikistan: Method and Key Findings
Date
2016-04-25
ISSN
Published
2016-04-25
Author(s)
World Bank Group
Abstract
National poverty rates are traditionally
measured using survey data. To allow for frequent monitoring
and to contain the costs of gathering detailed information,
such surveys sample only a small subset of the population.
This approach necessarily leads to sampling errors however,
and as a consequence, a typical household income or
expenditure survey cannot produce statistically reliable
poverty estimates for small geographic units. This report
discusses two means of addressing the issue. The first is
commonly referred to as poverty mapping, and derives
estimates of monetary poverty as it was officially measured
in Tajikistan at the time of the surveys used in the
analysis. The second is a multi-dimensional poverty index
(MPI) that combines information about individual
deprivations to summarize a complimentary, but unofficial,
measure of poverty incidence. Poverty mapping is a powerful
approach to measuring welfare for highly disaggregated
geographic units. A variety of poverty mapping methods have
been devised to overcome the increasing imprecision of
poverty estimates as they are disaggregated. The standard
strategy for estimating a poverty map involves three main
stages: (a) identify a comparable set of variables that
appear in both the census and the household survey; (b)
estimate consumption as a function of the comparable set of
variables; and (c) compute welfare indicators on census
records based on the parameters derived from the estimations
carried out on data from the household survey.
Citation
“World Bank Group. 2016. Poverty Mapping in Tajikistan; Poverty Mapping in Tajikistan : Method and Key Findings. © World Bank, Washington, DC. http://openknowledge.worldbank.org/handle/10986/25362 License: CC BY 3.0 IGO.”