To Impute or Not to Impute?
There is an increasingly stronger demand for more frequent and accurate poverty estimates, despite the oftentimes unavailable household consumption data. This paper offers a review of alternative imputation methods that have been employed to provide poverty estimates in such contexts. These range from estimates on a nonmonetary basis, estimates for specific project targeting or tracking trends at the national level, to estimates at a more disaggregated level, as well as estimates of poverty dynamics. The paper provides a concise and accessible synthesis, which serves as an introduction to the literature. The focus is on intuition and practical insights that highlight the nuanced differences between the existing methods rather than technical aspects.
Saved in:
| Main Author: | |
|---|---|
| Format: | Working Paper biblioteca |
| Language: | English |
| Published: |
World Bank, Washington, DC
2018-04
|
| Subjects: | IMPUTATION METHOD, POVERTY ESTIMATE, HOUSEHOLD CONSUMPTION, WEALTH INDEX, SYNTHETIC PANELS, HOUSEHOLD SURVEYS, INCOME DISTRIBUTION, INEQUALITY, POVERTY LINE, POVERTY ASSESSMENT, LIVING STANDARDS, |
| Online Access: | http://documents.worldbank.org/curated/en/448791523466902450/To-impute-or-not-to-impute-a-review-of-alternative-poverty-estimation-methods-in-the-context-of-unavailable-consumption-data https://hdl.handle.net/10986/29673 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
dig-okr-1098629673 |
|---|---|
| record_format |
koha |
| spelling |
dig-okr-10986296732024-08-09T07:56:37Z To Impute or Not to Impute? A Review of Alternative Poverty Estimation Methods in the Context of Unavailable Consumption Data Dang, Hai-Anh H. IMPUTATION METHOD POVERTY ESTIMATE HOUSEHOLD CONSUMPTION WEALTH INDEX SYNTHETIC PANELS HOUSEHOLD SURVEYS INCOME DISTRIBUTION INEQUALITY POVERTY LINE POVERTY ASSESSMENT LIVING STANDARDS There is an increasingly stronger demand for more frequent and accurate poverty estimates, despite the oftentimes unavailable household consumption data. This paper offers a review of alternative imputation methods that have been employed to provide poverty estimates in such contexts. These range from estimates on a nonmonetary basis, estimates for specific project targeting or tracking trends at the national level, to estimates at a more disaggregated level, as well as estimates of poverty dynamics. The paper provides a concise and accessible synthesis, which serves as an introduction to the literature. The focus is on intuition and practical insights that highlight the nuanced differences between the existing methods rather than technical aspects. 2018-04-12T18:54:22Z 2018-04-12T18:54:22Z 2018-04 Working Paper Document de travail Documento de trabajo http://documents.worldbank.org/curated/en/448791523466902450/To-impute-or-not-to-impute-a-review-of-alternative-poverty-estimation-methods-in-the-context-of-unavailable-consumption-data https://hdl.handle.net/10986/29673 English Policy Research Working Paper;No. 8403 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank application/pdf text/plain World Bank, Washington, DC |
| institution |
Banco Mundial |
| collection |
DSpace |
| country |
Estados Unidos |
| countrycode |
US |
| component |
Bibliográfico |
| access |
En linea |
| databasecode |
dig-okr |
| tag |
biblioteca |
| region |
America del Norte |
| libraryname |
Biblioteca del Banco Mundial |
| language |
English |
| topic |
IMPUTATION METHOD POVERTY ESTIMATE HOUSEHOLD CONSUMPTION WEALTH INDEX SYNTHETIC PANELS HOUSEHOLD SURVEYS INCOME DISTRIBUTION INEQUALITY POVERTY LINE POVERTY ASSESSMENT LIVING STANDARDS IMPUTATION METHOD POVERTY ESTIMATE HOUSEHOLD CONSUMPTION WEALTH INDEX SYNTHETIC PANELS HOUSEHOLD SURVEYS INCOME DISTRIBUTION INEQUALITY POVERTY LINE POVERTY ASSESSMENT LIVING STANDARDS |
| spellingShingle |
IMPUTATION METHOD POVERTY ESTIMATE HOUSEHOLD CONSUMPTION WEALTH INDEX SYNTHETIC PANELS HOUSEHOLD SURVEYS INCOME DISTRIBUTION INEQUALITY POVERTY LINE POVERTY ASSESSMENT LIVING STANDARDS IMPUTATION METHOD POVERTY ESTIMATE HOUSEHOLD CONSUMPTION WEALTH INDEX SYNTHETIC PANELS HOUSEHOLD SURVEYS INCOME DISTRIBUTION INEQUALITY POVERTY LINE POVERTY ASSESSMENT LIVING STANDARDS Dang, Hai-Anh H. To Impute or Not to Impute? |
| description |
There is an increasingly stronger demand
for more frequent and accurate poverty estimates, despite
the oftentimes unavailable household consumption data. This
paper offers a review of alternative imputation methods that
have been employed to provide poverty estimates in such
contexts. These range from estimates on a nonmonetary basis,
estimates for specific project targeting or tracking trends
at the national level, to estimates at a more disaggregated
level, as well as estimates of poverty dynamics. The paper
provides a concise and accessible synthesis, which serves as
an introduction to the literature. The focus is on intuition
and practical insights that highlight the nuanced
differences between the existing methods rather than
technical aspects. |
| format |
Working Paper |
| topic_facet |
IMPUTATION METHOD POVERTY ESTIMATE HOUSEHOLD CONSUMPTION WEALTH INDEX SYNTHETIC PANELS HOUSEHOLD SURVEYS INCOME DISTRIBUTION INEQUALITY POVERTY LINE POVERTY ASSESSMENT LIVING STANDARDS |
| author |
Dang, Hai-Anh H. |
| author_facet |
Dang, Hai-Anh H. |
| author_sort |
Dang, Hai-Anh H. |
| title |
To Impute or Not to Impute? |
| title_short |
To Impute or Not to Impute? |
| title_full |
To Impute or Not to Impute? |
| title_fullStr |
To Impute or Not to Impute? |
| title_full_unstemmed |
To Impute or Not to Impute? |
| title_sort |
to impute or not to impute? |
| publisher |
World Bank, Washington, DC |
| publishDate |
2018-04 |
| url |
http://documents.worldbank.org/curated/en/448791523466902450/To-impute-or-not-to-impute-a-review-of-alternative-poverty-estimation-methods-in-the-context-of-unavailable-consumption-data https://hdl.handle.net/10986/29673 |
| work_keys_str_mv |
AT danghaianhh toimputeornottoimpute AT danghaianhh areviewofalternativepovertyestimationmethodsinthecontextofunavailableconsumptiondata |
| _version_ |
1807154778039386112 |