Correcting Sampling and Nonresponse Bias in Phone Survey Poverty Estimation Using Reweighting and Poverty Projection Models
To monitor the evolution of household living conditions during the COVID-19 pandemic, the World Bank conducted COVID-19 High-Frequency Phone Surveys in around 80 countries. Phone surveys are cheap and easy to implement, but they have some major limitations, such as the absence of poverty data, sampling bias due to incomplete telephone coverage in many developing countries, and frequent nonresponses to phone interviews. To overcome these limitations, the World Bank conducted pilots in 20 countries where the Survey of Wellbeing via Instant and Frequent Tracking, a rapid poverty monitoring tool, was adopted to estimate poverty rates based on 10 to 15 simple questions collected via phone interviews, and where sampling weights were adjusted to correct the sampling and nonresponse bias. This paper examines whether reweighting procedures and the Survey of Wellbeing via Instant and Frequent Tracking methodology can eliminate the bias in poverty estimation based on the COVID-19 High-Frequency Phone Surveys. Experiments using artificial phone survey samples show that (i) reweighting procedures cannot fully eliminate bias in poverty estimates, as previous research has demonstrated, but (ii) when combined with Survey of Wellbeing via Instant and Frequent Tracking poverty projections, they effectively eliminate bias in poverty estimates and other statistics.
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Working Paper biblioteca |
| Language: | English English |
| Published: |
World Bank, Washington, DC
2024-01-03
|
| Subjects: | PHONE SURVEY DATA, WEIGHTING, POVERTY PROJECTIONS, POVERTY ESTIMATION, CORRECTION OF SAMPLING BIAS, NONRESPONSE BIAS, COVID-19 PANDEMIC PHONE SURVEY, SURVEY OF WELLBEING, |
| Online Access: | http://documents.worldbank.org/curated/en/099439112202312439/IDU1e2c666e61beea141bd192b812ed3b1ea5a99 https://openknowledge.worldbank.org/handle/10986/40829 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
dig-okr-1098640829 |
|---|---|
| record_format |
koha |
| spelling |
dig-okr-10986408292024-05-17T20:05:32Z Correcting Sampling and Nonresponse Bias in Phone Survey Poverty Estimation Using Reweighting and Poverty Projection Models Zhang, Kexin Takamatsu, Shinya Yoshida, Nobuo PHONE SURVEY DATA WEIGHTING POVERTY PROJECTIONS POVERTY ESTIMATION CORRECTION OF SAMPLING BIAS NONRESPONSE BIAS COVID-19 PANDEMIC PHONE SURVEY SURVEY OF WELLBEING To monitor the evolution of household living conditions during the COVID-19 pandemic, the World Bank conducted COVID-19 High-Frequency Phone Surveys in around 80 countries. Phone surveys are cheap and easy to implement, but they have some major limitations, such as the absence of poverty data, sampling bias due to incomplete telephone coverage in many developing countries, and frequent nonresponses to phone interviews. To overcome these limitations, the World Bank conducted pilots in 20 countries where the Survey of Wellbeing via Instant and Frequent Tracking, a rapid poverty monitoring tool, was adopted to estimate poverty rates based on 10 to 15 simple questions collected via phone interviews, and where sampling weights were adjusted to correct the sampling and nonresponse bias. This paper examines whether reweighting procedures and the Survey of Wellbeing via Instant and Frequent Tracking methodology can eliminate the bias in poverty estimation based on the COVID-19 High-Frequency Phone Surveys. Experiments using artificial phone survey samples show that (i) reweighting procedures cannot fully eliminate bias in poverty estimates, as previous research has demonstrated, but (ii) when combined with Survey of Wellbeing via Instant and Frequent Tracking poverty projections, they effectively eliminate bias in poverty estimates and other statistics. 2024-01-03T22:08:20Z 2024-01-03T22:08:20Z 2024-01-03 Working Paper http://documents.worldbank.org/curated/en/099439112202312439/IDU1e2c666e61beea141bd192b812ed3b1ea5a99 https://openknowledge.worldbank.org/handle/10986/40829 English en Policy Research Working Papers; 10656 CC BY 3.0 IGO https://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 English |
| topic |
PHONE SURVEY DATA WEIGHTING POVERTY PROJECTIONS POVERTY ESTIMATION CORRECTION OF SAMPLING BIAS NONRESPONSE BIAS COVID-19 PANDEMIC PHONE SURVEY SURVEY OF WELLBEING PHONE SURVEY DATA WEIGHTING POVERTY PROJECTIONS POVERTY ESTIMATION CORRECTION OF SAMPLING BIAS NONRESPONSE BIAS COVID-19 PANDEMIC PHONE SURVEY SURVEY OF WELLBEING |
| spellingShingle |
PHONE SURVEY DATA WEIGHTING POVERTY PROJECTIONS POVERTY ESTIMATION CORRECTION OF SAMPLING BIAS NONRESPONSE BIAS COVID-19 PANDEMIC PHONE SURVEY SURVEY OF WELLBEING PHONE SURVEY DATA WEIGHTING POVERTY PROJECTIONS POVERTY ESTIMATION CORRECTION OF SAMPLING BIAS NONRESPONSE BIAS COVID-19 PANDEMIC PHONE SURVEY SURVEY OF WELLBEING Zhang, Kexin Takamatsu, Shinya Yoshida, Nobuo Correcting Sampling and Nonresponse Bias in Phone Survey Poverty Estimation Using Reweighting and Poverty Projection Models |
| description |
To monitor the evolution of household
living conditions during the COVID-19 pandemic, the World
Bank conducted COVID-19 High-Frequency Phone Surveys in
around 80 countries. Phone surveys are cheap and easy to
implement, but they have some major limitations, such as the
absence of poverty data, sampling bias due to incomplete
telephone coverage in many developing countries, and
frequent nonresponses to phone interviews. To overcome these
limitations, the World Bank conducted pilots in 20 countries
where the Survey of Wellbeing via Instant and Frequent
Tracking, a rapid poverty monitoring tool, was adopted to
estimate poverty rates based on 10 to 15 simple questions
collected via phone interviews, and where sampling weights
were adjusted to correct the sampling and nonresponse bias.
This paper examines whether reweighting procedures and the
Survey of Wellbeing via Instant and Frequent Tracking
methodology can eliminate the bias in poverty estimation
based on the COVID-19 High-Frequency Phone Surveys.
Experiments using artificial phone survey samples show that
(i) reweighting procedures cannot fully eliminate bias in
poverty estimates, as previous research has demonstrated,
but (ii) when combined with Survey of Wellbeing via Instant
and Frequent Tracking poverty projections, they effectively
eliminate bias in poverty estimates and other statistics. |
| format |
Working Paper |
| topic_facet |
PHONE SURVEY DATA WEIGHTING POVERTY PROJECTIONS POVERTY ESTIMATION CORRECTION OF SAMPLING BIAS NONRESPONSE BIAS COVID-19 PANDEMIC PHONE SURVEY SURVEY OF WELLBEING |
| author |
Zhang, Kexin Takamatsu, Shinya Yoshida, Nobuo |
| author_facet |
Zhang, Kexin Takamatsu, Shinya Yoshida, Nobuo |
| author_sort |
Zhang, Kexin |
| title |
Correcting Sampling and Nonresponse Bias in Phone Survey Poverty Estimation Using Reweighting and Poverty Projection Models |
| title_short |
Correcting Sampling and Nonresponse Bias in Phone Survey Poverty Estimation Using Reweighting and Poverty Projection Models |
| title_full |
Correcting Sampling and Nonresponse Bias in Phone Survey Poverty Estimation Using Reweighting and Poverty Projection Models |
| title_fullStr |
Correcting Sampling and Nonresponse Bias in Phone Survey Poverty Estimation Using Reweighting and Poverty Projection Models |
| title_full_unstemmed |
Correcting Sampling and Nonresponse Bias in Phone Survey Poverty Estimation Using Reweighting and Poverty Projection Models |
| title_sort |
correcting sampling and nonresponse bias in phone survey poverty estimation using reweighting and poverty projection models |
| publisher |
World Bank, Washington, DC |
| publishDate |
2024-01-03 |
| url |
http://documents.worldbank.org/curated/en/099439112202312439/IDU1e2c666e61beea141bd192b812ed3b1ea5a99 https://openknowledge.worldbank.org/handle/10986/40829 |
| work_keys_str_mv |
AT zhangkexin correctingsamplingandnonresponsebiasinphonesurveypovertyestimationusingreweightingandpovertyprojectionmodels AT takamatsushinya correctingsamplingandnonresponsebiasinphonesurveypovertyestimationusingreweightingandpovertyprojectionmodels AT yoshidanobuo correctingsamplingandnonresponsebiasinphonesurveypovertyestimationusingreweightingandpovertyprojectionmodels |
| _version_ |
1802820887358996480 |