世界银行-使用重新加权和贫困预测模型校正电话调查贫困估计中的抽样和无响应偏差(英)-2023.12..docx

上传人:p** 文档编号:926599 上传时间:2024-04-12 格式:DOCX 页数:43 大小:275.14KB
下载 相关 举报
世界银行-使用重新加权和贫困预测模型校正电话调查贫困估计中的抽样和无响应偏差(英)-2023.12..docx_第1页
第1页 / 共43页
世界银行-使用重新加权和贫困预测模型校正电话调查贫困估计中的抽样和无响应偏差(英)-2023.12..docx_第2页
第2页 / 共43页
世界银行-使用重新加权和贫困预测模型校正电话调查贫困估计中的抽样和无响应偏差(英)-2023.12..docx_第3页
第3页 / 共43页
世界银行-使用重新加权和贫困预测模型校正电话调查贫困估计中的抽样和无响应偏差(英)-2023.12..docx_第4页
第4页 / 共43页
世界银行-使用重新加权和贫困预测模型校正电话调查贫困估计中的抽样和无响应偏差(英)-2023.12..docx_第5页
第5页 / 共43页
世界银行-使用重新加权和贫困预测模型校正电话调查贫困估计中的抽样和无响应偏差(英)-2023.12..docx_第6页
第6页 / 共43页
世界银行-使用重新加权和贫困预测模型校正电话调查贫困估计中的抽样和无响应偏差(英)-2023.12..docx_第7页
第7页 / 共43页
世界银行-使用重新加权和贫困预测模型校正电话调查贫困估计中的抽样和无响应偏差(英)-2023.12..docx_第8页
第8页 / 共43页
世界银行-使用重新加权和贫困预测模型校正电话调查贫困估计中的抽样和无响应偏差(英)-2023.12..docx_第9页
第9页 / 共43页
世界银行-使用重新加权和贫困预测模型校正电话调查贫困估计中的抽样和无响应偏差(英)-2023.12..docx_第10页
第10页 / 共43页
亲,该文档总共43页,到这儿已超出免费预览范围,如果喜欢就下载吧!
资源描述

《世界银行-使用重新加权和贫困预测模型校正电话调查贫困估计中的抽样和无响应偏差(英)-2023.12..docx》由会员分享,可在线阅读,更多相关《世界银行-使用重新加权和贫困预测模型校正电话调查贫困估计中的抽样和无响应偏差(英)-2023.12..docx(43页珍藏版)》请在第壹文秘上搜索。

1、PaUOLnnValnsoosQ.2-qndPolicyResearchWorkingPaper10656CorrectingSamplingandNonresponseBiasinPhoneSurveyPovertyEstimationUsingReweightingandPovertyProjectionModelsP ZOfnV alnsoosQ.2-qndKexinZhangShinyaTakamatsuNobYoshidaworldBankgroupxt-rPovertyandEquityGlobalPracticeDecember2023PolicyResearchWorkingP

2、aper10656AbstractTo monitor the evolution of household living conditions during the COVID-19 pandemic, the World Bank conducted COVID-19 High-Frequency Phone Su,eys in around 80 countries. Phone sunfeys are cheap and easy to implement, but they have some major limitations, such as the absence of PoV

3、Crty 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 ofWellbeing via Instant and Frequent Tracking, a rapid povem, mon

4、itoring tool, was adopted to estimate poverty rates based on 10 to 15 simple questions collected via phone interviews, and where sampling weightswere adjusted to correct the sampling and nonresponse bias.This paper examines whether reweighting procedures andmethodology can eliminate the bias in povc

5、rtr 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 povert estimates, as previous research has demonstrated, but (ii) when combined with SUrVey of Wellbeing Via Instan

6、t and Frequent Tracking PoVerty projections, they effectively eliminate bias in poverty estimates and otherstatistics.hispaperisaproductofthePovertyandEquityGlobalPractice.ItispartofalargereffortbytheWorldBanktoprovideopenaccesstoitsresearchandmakeacontributiontodevelopmentpolicydiscussionsaroundthe

7、world.PolicyResearchWorkingPapersarealsopostedontheWebatTheauthorsmaybecontactedatkzhang2worldbank.org.TbePolieyResearchWorkingPaperSeriesdisseminatestfjefindingsofuforkinprogresstoencouragetbeexchanfofideasaboutdeivlopmentissues.Anobecihfeoftheseriesisto般thefindingoutquickfy,evifthepresentationsare

8、lessthanJulbfpolished.ThepaperscanythenamesOftbeauthorsandshouldbecitedaccordingly.Thefinding,interpretations,andconclusionsexpressedinthispaperareentircbfthoseoftheaut!,wrs.TheydonotnecessarilyrfpnsvnttheviewsoftheInternationalBankforKecoftstnictionandDert,omenf/WorldBa欣anditsafftiate!oranifalions,

9、orthoseoftheFixecuthvDireetarsoftheWorldRankort!epivrtimeHtstheyrepresent.ProducedbytheResearchSupport,eamCorrectingSamplingandNonresponseBiasinPhoneSurveyPovertyKcxinZhang,ShinyaTakamatsuandNobuoYoshidaKeywords:Phonesurveys,Weighting,Povertyprojections/estimation,Correctionofsamplingbiasandnonrespo

10、nsebiasJELcodes:132,C83,C81*TheauthorswouldliketothankKristenHimelein,XueqiLi,AzizAramanov,ChristinaWieser,AnnaLUiSaPaffhausenf()rtheirsupportf()rthisstudy.Theauthorsalsogratefultopeerreviewers,KevinMcGeeandDanielGerszonMahler,andallparticipantsattheQualityEnhancementReviewmeetingheldattheWorldBanko

11、nNovember2021,UNECEConferenceofEuropeanStatisticians2022,andparticipantsatIARIWConference2022forhelpfulcomments.a)KexinZhang,SchoolofAgriculturalEconomicsandRuralDevelopment,RenminUniversityofChina,zhangkexin629ShinyaTakamatsu,PovertyandEquityGlobalPractice,WorldBank,stakamatsuworldbank.orgNobuoYosh

12、ida,PovertjrandEquityGlobalPractice,WorldBank,nyoshidaworldbank.orgI. IntroductionandbackgroundPhoneinterviewingopensnewpossibilitiesforempiricalresearchinsocialsciences.ItgreatlyreducesthecostsofconductingSUrVeySbecauseallcommunicationoccursWithOUttheface-to-faceinteractionCUStOmaryintraditionalsur

13、veys.WiththeoutbreakoftheCOVID-19pandemiclimitingface-to-faceinterviews,phoneSUrVeySaremoreprevalentamongacademicinstitutions,surveycompanies,andindividualresearchersforindividual-levelandhousehold-leveldatacollection.Totrackhouseholds,livingconditionsonatimelybasisduringapandemic,theWorldBanklaunch

14、edtheCOVID-19High-FrequencyPhoneSurveys(HFPS),whichhavebeencarriedoutinaround80countriessinceMarch2020.TheseSUrVeySallowpolicymakerstomonitorawidevarietyofsocioeconomicindicatorsinatimelyandfrequentmanner.Phonesurveyshaveshortcomings.First,itisdifficulttomonitorpovertyusingtheCOVID-19IIFPS.TheCOVID-

15、19HFPSdoesnotcollectconsumptionorincomedata,whicharenecessaformeasuringpovertyrandinequalityunderthetraditionalPOVCrtymonitoringapproach.Itistime-consuming,costly,andcomplextocollectsuchdata.Aninterviewermustaskhouseholdsanumberofcomplexquestionsregardingtheirrecentconsumption,expenditures,anddetail

16、edincomecomponents.Suchanintemewrequiresatleast30minutesanduptotwohours,evenbywell-trainedandqualifiedinterviewers.Itisalsochallengingtoadministertheintenriewindevelopingcountrieswheretelephoneconnectionsarenotalwaysstableenoughtocompletesuchalonginterview.AsolutiontoChallenge1:.SIF7F7asarapidpovertymonitoringtoo!InMarch2020,theWorldBanklaun

展开阅读全文
相关资源
猜你喜欢
相关搜索

当前位置:首页 > 论文 > 毕业论文

copyright@ 2008-2023 1wenmi网站版权所有

经营许可证编号:宁ICP备2022001189号-1

本站为文档C2C交易模式,即用户上传的文档直接被用户下载,本站只是中间服务平台,本站所有文档下载所得的收益归上传人(含作者)所有。第壹文秘仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对上载内容本身不做任何修改或编辑。若文档所含内容侵犯了您的版权或隐私,请立即通知第壹文秘网,我们立即给予删除!