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Improving the Quality of Survey Estimates from Longitudinal Studies: An Application to LSMS Panel Surveys

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dc.contributor.authorFalorsi, Piero
dc.contributor.authorRighi, Paolo
dc.contributor.authorPonzini, Giulia
dc.date.accessioned2025-01-10T15:52:40Z
dc.date.available2025-01-10T15:52:40Z
dc.date.issued2025-01-10
dc.description.abstractLongitudinal surveys are an invaluable source for analyzing the current state of and changes in human populations over time. However, maintaining the accuracy of estimates from a panel sample becomes more difficult as the length of the panel survey increases. Key concerns are the lack of sample representativeness, due to the sample erosion caused by deaths and movers and the impact of new births, and migration flows. Moreover, sample fatigue introduces an increasing measurement error. Correct design, implementation, and use of a panel survey considers a set of methods to deal with these problems at different stages of the statistical process: the sampling design, the data collection, and the estimation. This paper focuses on the case of panels with a rotating sample design. This case represents a powerful hybrid solution for facing the impact of panel dynamics on sample representativeness. Empirically, the paper focuses on the estimation procedures. Using data from the Uganda National Panel Survey, the longest Living Standards Measurement Study panel survey, it experimentally evaluates the suggested technique. In summary, the findings show that the calibrated generalized weight share method base estimator yields individual-level statistics that appear to be more accurate than those produced by the current Uganda National Panel Survey estimator. Additionally, the calibrated generalized weight share method base cross-sectional estimates on the transition matrix show a generally higher degree of stability when the sample is changed compared to the current Uganda National Panel Survey estimates.en
dc.identifierhttp://documents.worldbank.org/curated/en/099547401082519007/IDU1ab6229591b61414d311aee3194230828f581
dc.identifier.doi10.1596/1813-9450-11026
dc.identifier.doihttps://doi.org/10.1596/1813-9450-11026
dc.identifier.urihttps://hdl.handle.net/10986/42655
dc.languageEnglish
dc.language.isoen_US
dc.publisherWashington, DC: World Bank
dc.relation.ispartofseriesPolicy Research Working Paper; 11026
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/igo/
dc.subjectPANEL SURVEYS
dc.subjectATTRITION
dc.subjectGENERALIZED WEIGHT SHARE METHOD
dc.subjectSURVEY METHODS
dc.titleImproving the Quality of Survey Estimates from Longitudinal Studiesen
dc.title.subtitleAn Application to LSMS Panel Surveysen
dc.typeWorking Paper
dspace.entity.typePublication
okr.associatedcontenthttps://reproducibility.worldbank.org/index.php/catalog/211 Link to reproducibility package
okr.date.disclosure2025-01-10
okr.date.doiregistration2025-04-14T11:53:09.056111Z
okr.date.lastmodified2025-01-08T00:00:00Zen
okr.doctypePolicy Research Working Paper
okr.doctypePublications & Research
okr.docurlhttp://documents.worldbank.org/curated/en/099547401082519007/IDU1ab6229591b61414d311aee3194230828f581
okr.guid099547401082519007
okr.identifier.docmidIDU-ab622959-b614-4d31-aee3-94230828f581
okr.identifier.doi10.1596/1813-9450-11026
okr.identifier.externaldocumentum34443991
okr.identifier.internaldocumentum34443991
okr.identifier.reportWPS11026
okr.import.id6273
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/099547401082519007/pdf/IDU1ab6229591b61414d311aee3194230828f581.pdfen
okr.region.geographicalWorld
okr.topicPrivate Sector Development::Corporate Data and Reporting
okr.topicMacroeconomics and Economic Growth::Econometrics
okr.topicMacroeconomics and Economic Growth::Economic Modeling and Statistics
okr.topicSocial Protections and Labor::Employment and Unemployment
okr.unitStrategy & Collaboratives (DECSC)
okr.unitLiving Standards Measurement (DECLS)
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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