Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad
Household consumption surveys do not typically cover refugee populations, and poverty estimates for refugees are rare. This paper tests the performance of cross-survey imputation methods to estimate poverty for a sample of refugees in Chad, by combining United Nations High Commissioner for Refugees...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Washington, D.C
The World Bank
2020
|
Schriftenreihe: | World Bank E-Library Archive
|
Online-Zugang: | kostenfrei |
Zusammenfassung: | Household consumption surveys do not typically cover refugee populations, and poverty estimates for refugees are rare. This paper tests the performance of cross-survey imputation methods to estimate poverty for a sample of refugees in Chad, by combining United Nations High Commissioner for Refugees survey and administrative data. The proposed method offers poverty estimates based on administrative data that fall within a 95 percent margin of poverty estimates based on survey consumption data. This result is robust to different poverty lines, sets of regressors, and modeling assumptions of the error term. The method outperforms common targeting methods, such as proxy means tests and the targeting method currently used by humanitarian organizations in Chad |
Beschreibung: | 1 Online-Ressource (32 Seiten) |
DOI: | 10.1596/1813-9450-9222 |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV048274663 | ||
003 | DE-604 | ||
007 | cr|uuu---uuuuu | ||
008 | 220609s2020 |||| o||u| ||||||eng d | ||
024 | 7 | |a 10.1596/1813-9450-9222 |2 doi | |
035 | |a (ZDB-1-WBA)NLM011155841 | ||
035 | |a (OCoLC)1334021000 | ||
035 | |a (DE-599)GBVNLM011155841 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-12 |a DE-521 |a DE-573 |a DE-523 |a DE-Re13 |a DE-19 |a DE-355 |a DE-703 |a DE-91 |a DE-706 |a DE-29 |a DE-M347 |a DE-473 |a DE-824 |a DE-20 |a DE-739 |a DE-1043 |a DE-863 |a DE-862 | ||
100 | 1 | |a Beltram, Theresa |e Verfasser |4 aut | |
245 | 1 | 0 | |a Estimating Poverty among Refugee Populations |b A Cross-Survey Imputation Exercise for Chad |c Theresa Beltram |
264 | 1 | |a Washington, D.C |b The World Bank |c 2020 | |
300 | |a 1 Online-Ressource (32 Seiten) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a World Bank E-Library Archive | |
520 | |a Household consumption surveys do not typically cover refugee populations, and poverty estimates for refugees are rare. This paper tests the performance of cross-survey imputation methods to estimate poverty for a sample of refugees in Chad, by combining United Nations High Commissioner for Refugees survey and administrative data. The proposed method offers poverty estimates based on administrative data that fall within a 95 percent margin of poverty estimates based on survey consumption data. This result is robust to different poverty lines, sets of regressors, and modeling assumptions of the error term. The method outperforms common targeting methods, such as proxy means tests and the targeting method currently used by humanitarian organizations in Chad | ||
700 | 1 | |a Beltram, Theresa |4 oth | |
700 | 1 | |a Dang, Hai-Anh H. |4 oth | |
700 | 1 | |a Sarr, Ibrahima |4 oth | |
700 | 1 | |a Verme, Paolo |4 oth | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Beltram, Theresa |t Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad |d Washington, D.C : The World Bank, 2020 |
856 | 4 | 0 | |u https://doi.org/10.1596/1813-9450-9222 |x Verlag |z kostenfrei |3 Volltext |
912 | |a ZDB-1-WBA | ||
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-033654857 |
Datensatz im Suchindex
_version_ | 1812671823721005056 |
---|---|
adam_text | |
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Beltram, Theresa |
author_facet | Beltram, Theresa |
author_role | aut |
author_sort | Beltram, Theresa |
author_variant | t b tb |
building | Verbundindex |
bvnumber | BV048274663 |
collection | ZDB-1-WBA |
ctrlnum | (ZDB-1-WBA)NLM011155841 (OCoLC)1334021000 (DE-599)GBVNLM011155841 |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
doi_str_mv | 10.1596/1813-9450-9222 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nmm a2200000zc 4500</leader><controlfield tag="001">BV048274663</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">220609s2020 |||| o||u| ||||||eng d</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1596/1813-9450-9222</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-1-WBA)NLM011155841</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1334021000</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVNLM011155841</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-12</subfield><subfield code="a">DE-521</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-Re13</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-1043</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-862</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Beltram, Theresa</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Estimating Poverty among Refugee Populations</subfield><subfield code="b">A Cross-Survey Imputation Exercise for Chad</subfield><subfield code="c">Theresa Beltram</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Washington, D.C</subfield><subfield code="b">The World Bank</subfield><subfield code="c">2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (32 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">World Bank E-Library Archive</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Household consumption surveys do not typically cover refugee populations, and poverty estimates for refugees are rare. This paper tests the performance of cross-survey imputation methods to estimate poverty for a sample of refugees in Chad, by combining United Nations High Commissioner for Refugees survey and administrative data. The proposed method offers poverty estimates based on administrative data that fall within a 95 percent margin of poverty estimates based on survey consumption data. This result is robust to different poverty lines, sets of regressors, and modeling assumptions of the error term. The method outperforms common targeting methods, such as proxy means tests and the targeting method currently used by humanitarian organizations in Chad</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Beltram, Theresa</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dang, Hai-Anh H.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sarr, Ibrahima</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Verme, Paolo</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Beltram, Theresa</subfield><subfield code="t">Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad</subfield><subfield code="d">Washington, D.C : The World Bank, 2020</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1596/1813-9450-9222</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-WBA</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033654857</subfield></datafield></record></collection> |
id | DE-604.BV048274663 |
illustrated | Not Illustrated |
index_date | 2024-07-03T20:00:12Z |
indexdate | 2024-10-12T04:02:42Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033654857 |
oclc_num | 1334021000 |
open_access_boolean | 1 |
owner | DE-12 DE-521 DE-573 DE-523 DE-Re13 DE-BY-UBR DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-703 DE-91 DE-BY-TUM DE-706 DE-29 DE-M347 DE-473 DE-BY-UBG DE-824 DE-20 DE-739 DE-1043 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
owner_facet | DE-12 DE-521 DE-573 DE-523 DE-Re13 DE-BY-UBR DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-703 DE-91 DE-BY-TUM DE-706 DE-29 DE-M347 DE-473 DE-BY-UBG DE-824 DE-20 DE-739 DE-1043 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
physical | 1 Online-Ressource (32 Seiten) |
psigel | ZDB-1-WBA |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | The World Bank |
record_format | marc |
series2 | World Bank E-Library Archive |
spellingShingle | Beltram, Theresa Estimating Poverty among Refugee Populations A Cross-Survey Imputation Exercise for Chad |
title | Estimating Poverty among Refugee Populations A Cross-Survey Imputation Exercise for Chad |
title_auth | Estimating Poverty among Refugee Populations A Cross-Survey Imputation Exercise for Chad |
title_exact_search | Estimating Poverty among Refugee Populations A Cross-Survey Imputation Exercise for Chad |
title_exact_search_txtP | Estimating Poverty among Refugee Populations A Cross-Survey Imputation Exercise for Chad |
title_full | Estimating Poverty among Refugee Populations A Cross-Survey Imputation Exercise for Chad Theresa Beltram |
title_fullStr | Estimating Poverty among Refugee Populations A Cross-Survey Imputation Exercise for Chad Theresa Beltram |
title_full_unstemmed | Estimating Poverty among Refugee Populations A Cross-Survey Imputation Exercise for Chad Theresa Beltram |
title_short | Estimating Poverty among Refugee Populations |
title_sort | estimating poverty among refugee populations a cross survey imputation exercise for chad |
title_sub | A Cross-Survey Imputation Exercise for Chad |
url | https://doi.org/10.1596/1813-9450-9222 |
work_keys_str_mv | AT beltramtheresa estimatingpovertyamongrefugeepopulationsacrosssurveyimputationexerciseforchad AT danghaianhh estimatingpovertyamongrefugeepopulationsacrosssurveyimputationexerciseforchad AT sarribrahima estimatingpovertyamongrefugeepopulationsacrosssurveyimputationexerciseforchad AT vermepaolo estimatingpovertyamongrefugeepopulationsacrosssurveyimputationexerciseforchad |