Rapid Consumption Method and Poverty and Inequality Estimation in South Sudan Revisited
This paper presents updated poverty and inequality estimates from the South Sudan High Frequency Survey (HFS) consumption data. The HFS uses the Rapid Consumption Methodology (RCM), which skips part of consumption module, to save interview time due...
Main Authors: | , , , |
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Language: | English |
Published: |
World Bank, Washington, DC
2021
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Subjects: | |
Online Access: | http://documents.worldbank.org/curated/undefined/169871634583488580/Rapid-Consumption-Method-and-Poverty-and-Inequality-Estimation-in-South-Sudan-Revisited http://hdl.handle.net/10986/36540 |
Summary: | This paper presents updated poverty
and inequality estimates from the South Sudan High Frequency
Survey (HFS) consumption data. The HFS uses the Rapid
Consumption Methodology (RCM), which skips part of
consumption module, to save interview time due to the
volatile security situation. The previous methodology
adopted the Multivariate Normal Regression (MI-MVN) method
to impute the skipped consumption data, but it produced
improper consumption data like negative total consumption
values for some households. Instead, the new methodology
uses the Two-Part multiple imputation (MI) method, and
improved the reliability of imputed consumption data,
although there is still room for improvement. In addition,
the new methodology adopts the latest consumer price index
(CPI) and purchasing power parities (PPPs). Lastly, this
paper updates the inequality estimates, which the previous
method overestimated. As a result of all the above
adjustments, South Sudan's national poverty headcount
rate in 2016-17 is 76.4 percent, which is 5.6 percentage
points lower than the previous estimate of 82 percent.
Inequality, as measured by the national Gini coefficient, is
44.1 percent, around 3 percentage points higher than the
previous estimate of 41.0 percent. |
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