Updating Poverty Estimates at Frequent Intervals in the Absence of Consumption Data : Methods and Illustration with Reference to a Middle-Income Country
Obtaining consistent estimates on poverty over time as well as monitoring poverty trends on a timely basis is a priority concern for policy makers. However, these objectives are not readily achieved in practice when household consumption data are n...
| Main Authors: | , , |
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| Format: | Publications & Research |
| Language: | English en_US |
| Published: |
World Bank Group, Washington, DC
2014
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| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/2014/09/20230001/updating-poverty-estimates-frequent-intervals-absence-consumption-data-methods-illustration-reference-middle-income-country http://hdl.handle.net/10986/20374 |
| Summary: | Obtaining consistent estimates on
poverty over time as well as monitoring poverty trends on a
timely basis is a priority concern for policy makers.
However, these objectives are not readily achieved in
practice when household consumption data are neither
frequently collected, nor constructed using consistent and
transparent criteria. This paper develops a formal framework
for survey-to-survey poverty imputation in an attempt to
overcome these obstacles, and to elevate the discussion of
these methods beyond the largely ad-hoc efforts in the
existing literature. The framework introduced here imposes
few restrictive assumptions, works with simple variance
formulas, provides guidance on the selection of control
variables for model building, and can be generally applied
to imputation either from one survey to another survey with
the same design, or to another survey with a different
design. Empirical results analyzing the Household
Expenditure and Income Survey and the Unemployment and
Employment Survey in Jordan are quite encouraging, with
imputation-based poverty estimates closely tracking the
direct estimates of poverty. |
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