The Concept and Empirical Evidence of SWIFT Methodology:
The Survey of Well-being via Instant and Frequent Tracking (SWIFT) program was created in 2014 to produce poverty statistics cost-effectively, timely, and in a user-friendly manner. Under the SWIFT program, poverty rates are estimated by (i) training a poverty rate projection model on a previous hou...
Gespeichert in:
| Körperschaft: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Washington, D.C
The World Bank
2022
|
| Schriftenreihe: | Other papers
|
| Schlagworte: | |
| Online-Zugang: | kostenfrei |
| Zusammenfassung: | The Survey of Well-being via Instant and Frequent Tracking (SWIFT) program was created in 2014 to produce poverty statistics cost-effectively, timely, and in a user-friendly manner. Under the SWIFT program, poverty rates are estimated by (i) training a poverty rate projection model on a previous household budget survey, (ii) collecting data in the field on identified poverty correlates, and (iii) applying the model to collected data to produce poverty projections. The SWIFT program has expanded since 2014 and now includes a wide variety of activities, namely, aiding in estimating official poverty statistics and monitoring poverty outcomes of lending operations and investment projects in over 50 countries. One key advantage of the SWIFT methodology is the significantly shorter interview time compared to the surveys used in traditional poverty data collection. In 2015, the SWIFT program prepared a guideline for using the SWIFT methodology to ensure the quality and precision of poverty estimation under the program. The guideline includes a set of recommendations on data collection and poverty projection. This report documents the performance evaluation and possible modifications of the SWIFT poverty projection methods since 2015. It critically evaluates the SWIFT poverty projection method proposed by the 2015 guideline, identifies limitations, and introduces several remedies - SWIFT Plus and SWIFT 2.0 - with their evaluations. This paper is organized as follows: Section 2 reviews the literature, Section 3 describes the SWIFT methodology, Section 4 discusses challenges for SWIFT and the solutions, Section 5 explores future research topics, and Section 6 concludes |
| Beschreibung: | 1 Online-Ressource |
| DOI: | 10.1596/38095 |
Internformat
MARC
| LEADER | 00000nmm a22000001c 4500 | ||
|---|---|---|---|
| 001 | BV049079811 | ||
| 003 | DE-604 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 230731s2022 xxu|||| o||u| ||||||eng d | ||
| 024 | 7 | |a 10.1596/38095 |2 doi | |
| 035 | |a (ZDB-1-WBA)082392811 | ||
| 035 | |a (OCoLC)1392138476 | ||
| 035 | |a (DE-599)KEP082392811 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a xxu |c XD-US | ||
| 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 | ||
| 110 | 2 | |a World Bank Group |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a The Concept and Empirical Evidence of SWIFT Methodology |
| 264 | 1 | |a Washington, D.C |b The World Bank |c 2022 | |
| 300 | |a 1 Online-Ressource | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Other papers | |
| 520 | 3 | |a The Survey of Well-being via Instant and Frequent Tracking (SWIFT) program was created in 2014 to produce poverty statistics cost-effectively, timely, and in a user-friendly manner. Under the SWIFT program, poverty rates are estimated by (i) training a poverty rate projection model on a previous household budget survey, (ii) collecting data in the field on identified poverty correlates, and (iii) applying the model to collected data to produce poverty projections. The SWIFT program has expanded since 2014 and now includes a wide variety of activities, namely, aiding in estimating official poverty statistics and monitoring poverty outcomes of lending operations and investment projects in over 50 countries. One key advantage of the SWIFT methodology is the significantly shorter interview time compared to the surveys used in traditional poverty data collection. In 2015, the SWIFT program prepared a guideline for using the SWIFT methodology to ensure the quality and precision of poverty estimation under the program. The guideline includes a set of recommendations on data collection and poverty projection. This report documents the performance evaluation and possible modifications of the SWIFT poverty projection methods since 2015. It critically evaluates the SWIFT poverty projection method proposed by the 2015 guideline, identifies limitations, and introduces several remedies - SWIFT Plus and SWIFT 2.0 - with their evaluations. This paper is organized as follows: Section 2 reviews the literature, Section 3 describes the SWIFT methodology, Section 4 discusses challenges for SWIFT and the solutions, Section 5 explores future research topics, and Section 6 concludes | |
| 650 | 4 | |a Macroeconomics and Economic Growth | |
| 650 | 4 | |a Poverty Diagnostics | |
| 650 | 4 | |a Poverty Reduction | |
| 856 | 4 | 0 | |u https://doi.org/10.1596/38095 |x Verlag |z kostenfrei |3 Volltext |
| 912 | |a ZDB-1-WBA | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034341702 | |
Datensatz im Suchindex
| _version_ | 1824556231891615744 |
|---|---|
| adam_text | |
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author_corporate | World Bank Group |
| author_corporate_role | aut |
| author_facet | World Bank Group |
| author_sort | World Bank Group |
| building | Verbundindex |
| bvnumber | BV049079811 |
| collection | ZDB-1-WBA |
| ctrlnum | (ZDB-1-WBA)082392811 (OCoLC)1392138476 (DE-599)KEP082392811 |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| doi_str_mv | 10.1596/38095 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nmm a22000001c 4500</leader><controlfield tag="001">BV049079811</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">230731s2022 xxu|||| o||u| ||||||eng d</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1596/38095</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-1-WBA)082392811</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1392138476</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP082392811</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="044" ind1=" " ind2=" "><subfield code="a">xxu</subfield><subfield code="c">XD-US</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="110" ind1="2" ind2=" "><subfield code="a">World Bank Group</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">The Concept and Empirical Evidence of SWIFT Methodology</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">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</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">Other papers</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">The Survey of Well-being via Instant and Frequent Tracking (SWIFT) program was created in 2014 to produce poverty statistics cost-effectively, timely, and in a user-friendly manner. Under the SWIFT program, poverty rates are estimated by (i) training a poverty rate projection model on a previous household budget survey, (ii) collecting data in the field on identified poverty correlates, and (iii) applying the model to collected data to produce poverty projections. The SWIFT program has expanded since 2014 and now includes a wide variety of activities, namely, aiding in estimating official poverty statistics and monitoring poverty outcomes of lending operations and investment projects in over 50 countries. One key advantage of the SWIFT methodology is the significantly shorter interview time compared to the surveys used in traditional poverty data collection. In 2015, the SWIFT program prepared a guideline for using the SWIFT methodology to ensure the quality and precision of poverty estimation under the program. The guideline includes a set of recommendations on data collection and poverty projection. This report documents the performance evaluation and possible modifications of the SWIFT poverty projection methods since 2015. It critically evaluates the SWIFT poverty projection method proposed by the 2015 guideline, identifies limitations, and introduces several remedies - SWIFT Plus and SWIFT 2.0 - with their evaluations. This paper is organized as follows: Section 2 reviews the literature, Section 3 describes the SWIFT methodology, Section 4 discusses challenges for SWIFT and the solutions, Section 5 explores future research topics, and Section 6 concludes</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Macroeconomics and Economic Growth</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Poverty Diagnostics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Poverty Reduction</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1596/38095</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:BVB01-034341702</subfield></datafield></record></collection> |
| id | DE-604.BV049079811 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T22:27:56Z |
| indexdate | 2025-02-20T07:20:17Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034341702 |
| oclc_num | 1392138476 |
| 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 |
| psigel | ZDB-1-WBA |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | The World Bank |
| record_format | marc |
| series2 | Other papers |
| spellingShingle | The Concept and Empirical Evidence of SWIFT Methodology Macroeconomics and Economic Growth Poverty Diagnostics Poverty Reduction |
| title | The Concept and Empirical Evidence of SWIFT Methodology |
| title_auth | The Concept and Empirical Evidence of SWIFT Methodology |
| title_exact_search | The Concept and Empirical Evidence of SWIFT Methodology |
| title_exact_search_txtP | The Concept and Empirical Evidence of SWIFT Methodology |
| title_full | The Concept and Empirical Evidence of SWIFT Methodology |
| title_fullStr | The Concept and Empirical Evidence of SWIFT Methodology |
| title_full_unstemmed | The Concept and Empirical Evidence of SWIFT Methodology |
| title_short | The Concept and Empirical Evidence of SWIFT Methodology |
| title_sort | the concept and empirical evidence of swift methodology |
| topic | Macroeconomics and Economic Growth Poverty Diagnostics Poverty Reduction |
| topic_facet | Macroeconomics and Economic Growth Poverty Diagnostics Poverty Reduction |
| url | https://doi.org/10.1596/38095 |
| work_keys_str_mv | AT worldbankgroup theconceptandempiricalevidenceofswiftmethodology |