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...
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World Bank, Washington, DC
2021
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| 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 |
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okr-10986-365402021-11-11T05:10:51Z Rapid Consumption Method and Poverty and Inequality Estimation in South Sudan Revisited Takamatsu, Shinya Yoshida, Nobuo Ramasubbaiah, Rakesh Fatima, Freeha POVERTY MEASUREMENT INEQUALITY CONSUMPTION MEASUREMENT PREDICTION TWO-PART MODEL SURVEY METHODS 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. 2021-11-10T19:44:09Z 2021-11-10T19:44:09Z 2021-10 Working Paper 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 English Global Poverty Monitoring Technical Note;No. 18 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Working Paper Africa Africa Eastern and Southern (AFE) South Sudan |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
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World Bank |
| language |
English |
| topic |
POVERTY MEASUREMENT INEQUALITY CONSUMPTION MEASUREMENT PREDICTION TWO-PART MODEL SURVEY METHODS |
| spellingShingle |
POVERTY MEASUREMENT INEQUALITY CONSUMPTION MEASUREMENT PREDICTION TWO-PART MODEL SURVEY METHODS Takamatsu, Shinya Yoshida, Nobuo Ramasubbaiah, Rakesh Fatima, Freeha Rapid Consumption Method and Poverty and Inequality Estimation in South Sudan Revisited |
| geographic_facet |
Africa Africa Eastern and Southern (AFE) South Sudan |
| relation |
Global Poverty Monitoring Technical Note;No. 18 |
| description |
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. |
| format |
Working Paper |
| author |
Takamatsu, Shinya Yoshida, Nobuo Ramasubbaiah, Rakesh Fatima, Freeha |
| author_facet |
Takamatsu, Shinya Yoshida, Nobuo Ramasubbaiah, Rakesh Fatima, Freeha |
| author_sort |
Takamatsu, Shinya |
| title |
Rapid Consumption Method and Poverty and Inequality Estimation in South Sudan Revisited |
| title_short |
Rapid Consumption Method and Poverty and Inequality Estimation in South Sudan Revisited |
| title_full |
Rapid Consumption Method and Poverty and Inequality Estimation in South Sudan Revisited |
| title_fullStr |
Rapid Consumption Method and Poverty and Inequality Estimation in South Sudan Revisited |
| title_full_unstemmed |
Rapid Consumption Method and Poverty and Inequality Estimation in South Sudan Revisited |
| title_sort |
rapid consumption method and poverty and inequality estimation in south sudan revisited |
| publisher |
World Bank, Washington, DC |
| publishDate |
2021 |
| url |
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 |
| _version_ |
1764485456959897600 |