On Weight Smoothing in the Current Employment Statistics Survey October 2014 在加權(quán)平滑在當(dāng)前就業(yè)統(tǒng)計(jì)調(diào)查2014年10月

On Weight Smoothing in the Current Employment Statistics Survey October 2014 在加權(quán)平滑在當(dāng)前就業(yè)統(tǒng)計(jì)調(diào)查2014年10月

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On Weight Smoothing in the Current Employment Statistics Survey October 2014 在加權(quán)平滑在當(dāng)前就業(yè)統(tǒng)計(jì)調(diào)查2014年10月_第1頁(yè)
On Weight Smoothing in the Current Employment Statistics Survey October 2014 在加權(quán)平滑在當(dāng)前就業(yè)統(tǒng)計(jì)調(diào)查2014年10月_第2頁(yè)
On Weight Smoothing in the Current Employment Statistics Survey October 2014 在加權(quán)平滑在當(dāng)前就業(yè)統(tǒng)計(jì)調(diào)查2014年10月_第3頁(yè)
On Weight Smoothing in the Current Employment Statistics Survey October 2014 在加權(quán)平滑在當(dāng)前就業(yè)統(tǒng)計(jì)調(diào)查2014年10月_第4頁(yè)
On Weight Smoothing in the Current Employment Statistics Survey October 2014 在加權(quán)平滑在當(dāng)前就業(yè)統(tǒng)計(jì)調(diào)查2014年10月_第5頁(yè)
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1、JSM2014-SurveyResearchMethodsSectionOnWeightSmoothingintheCurrentEmploymentStatisticsSurveyOctober2014JulieGershunskaya,MichaelSverchkovBureauofLaborStatistics,2MassachusettsAve.NE,Washington,DC,20212AbstractThesamplingweightintheCurrentEmploymentStatisticsSurveyisdete

2、rminedatthetimeofsampleselection.Itdependsonaunit’sState,industry,andsizeclass.However,thepopulationofbusinessesishighlydynamic.Establishmentsconstantlygroworcontract;sometimestheyalsochangetheirindustrialclassificationorgeographicallocation.Eventhenumberofpopulationun

3、itsisnotfixedbutcontinuouslychangesovertime.Aunitmaychangeitssizeclassatthetimeofestimationorthecontentoftheoriginalstratummaychange.Undersuchcircumstances,applicationoftheoriginalsurveyweightsmayincreasevolatilityofsurveyestimates.Inthispaperweinvestigateifthesurveyes

4、timatescanbeimprovedbyadjustingtheoriginalweights.KeyWords:samplingweights,extremeobservation,businesssurvey,stratumjumper1.IntroductionUndertheclassicaldesign-basedapproachtoinferencesfromsurveysampling,thesamplingweightsaredefinedatthedesignstageofasurveyandviewedasn

5、on-randomquantitiesattheestimationstage.Incontrast,PfeffermannandSverchkov(1999)andBeaumont(2008)viewthesamplingweightsasrealizationsofarandomvector.Thisallowsmodelingtheweightsandapplyinganew“smoothed”setofweightsestimatedfromthemodel.Theapproachhasthepotentialforthei

6、mprovedefficiencycomparedtotheestimatorbasedontheoriginalweights.Consideraversionoftheexpansionestimatorforthepopulationtotal,whereasetofsmoothedweightsisusedinplaceoftheoriginalsamplingweights.Themethodhasthepotentialtogivegoodresultswhenthenewweightsarebetterrelatedt

7、otheresponsevariable.Theusuallayperson’sinterpretationofthesamplingweightsintheexpansionestimatorgoesasfollows:thinkofsampleunit’sweightasthenumberofcorrespondingunitsinthepopulationhavingthesamevalueofthesampleunit’sresponsevariable.Ifthiscorrespondencewouldholdexactl

8、yforallsampleunits,thenthesampleweightedestimatorprovidesaperfectestimatorofthepopulationtotal.It“estimates”thetotalw

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