Publication:
Imputed Welfare Estimates in Regression Analysis

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dc.contributor.authorElbers, Chris
dc.contributor.authorLanjouw, Jean O.
dc.contributor.authorLanjouw, Peter
dc.date.accessioned2013-06-21T12:53:33Z
dc.date.available2013-06-21T12:53:33Z
dc.date.issued2004-04
dc.description.abstractThe authors discuss the use of imputed data in regression analysis, in particular the use of highly disaggregated welfare indicators (from so-called "poverty maps"). They show that such indicators can be used both as explanatory variables on the right-hand side and as the phenomenon to explain on the left-hand side. The authors try out practical ways of adjusting standard errors of the regression coefficients to reflect the error introduced by using imputed, rather than actual, welfare indicators. These are illustrated by regression experiments based on data from Ecuador. For regressions with imputed variables on the left-hand side, the authors argue that essentially the same aggregate relationships would be found with either actual or imputed variables. They address the methodological question of how to interpret aggregate relationships found in such regressions.en
dc.identifierhttp://documents.worldbank.org/curated/en/2004/05/4265592/imputed-welfare-estimates-regression-analysis
dc.identifier.doi10.1596/1813-9450-3294
dc.identifier.urihttps://hdl.handle.net/10986/14102
dc.languageEnglish
dc.language.isoen_US
dc.publisherWorld Bank, Washington, D.C.
dc.relation.ispartofseriesPolicy Research Working Paper;No.3294
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/igo/
dc.subjectIMPUTED COSTS
dc.subjectREGRESSION ANALYSIS
dc.subjectWELFARE INDICATORS
dc.subjectPOVERTY MAPS
dc.subjectAGGREGATE GROWTH MODELS
dc.subjectECONOMIC GROWTH BOOTSTRAP
dc.subjectCALCULATION
dc.subjectCAPITA CONSUMPTION
dc.subjectCAPITA EXPENDITURE
dc.subjectCENSUS DATA
dc.subjectCENSUS HOUSEHOLDS
dc.subjectCENTER
dc.subjectCLUSTER CORRELATION
dc.subjectCOEFFICIENTS
dc.subjectCOMMUNITY INEQUALITY
dc.subjectCOMPILE
dc.subjectCOMPUTATION
dc.subjectCONDITIONAL EXPECTATION
dc.subjectCONSISTENT ESTIMATES
dc.subjectCONSISTENT ESTIMATOR
dc.subjectCONSISTENT STANDARD ERRORS
dc.subjectCONSUMPTION EXPENDITURE
dc.subjectCONSUMPTION LEVEL
dc.subjectCONSUMPTION MODEL
dc.subjectCONSUMPTION REGRESSION
dc.subjectCOVARIANCE
dc.subjectDEPENDENCY
dc.subjectDEPENDENT VARIABLE
dc.subjectDEPENDENT VARIABLES
dc.subjectDIAGONAL MATRIX
dc.subjectDISTURBANCE TERM
dc.subjectECONOMIC ANALYSIS
dc.subjectECONOMIC OUTCOMES
dc.subjectERROR
dc.subjectERROR TERM
dc.subjectERROR VARIANCE
dc.subjectERROR VARIANCES
dc.subjectESTIMATION PROCEDURE
dc.subjectEXOGENOUS VARIABLES
dc.subjectEXPECTED VALUE
dc.subjectEXPENDITURE MODEL
dc.subjectEXPLANATORY VARIABLES
dc.subjectHOUSEHOLD CONSUMPTION
dc.subjectHOUSEHOLD LEVEL
dc.subjectHOUSEHOLD SIZE
dc.subjectHOUSEHOLD SURVEY
dc.subjectHOUSEHOLD SURVEY DATA
dc.subjectHOUSEHOLD-LEVEL
dc.subjectHOUSEHOLDS
dc.subjectIDIOSYNCRATIC ERROR
dc.subjectINSTRUMENTAL VARIABLES
dc.subjectLEVEL OF AGGREGATION
dc.subjectLINEAR APPROXIMATION
dc.subjectLIVING STANDARDS
dc.subjectMATRICES
dc.subjectMATRIX
dc.subjectMEASURE OF POVERTY
dc.subjectPARAMETER ESTIMATES
dc.subjectPARAMETER VECTOR
dc.subjectPOVERTY ALLEVIATION
dc.subjectPOVERTY MAPPING
dc.subjectPOVERTY MAPS
dc.subjectPOVERTY MEASURES
dc.subjectPOVERTY STATUS
dc.subjectPREDICTION
dc.subjectRANDOM COMPONENTS
dc.subjectRANDOM EFFECTS
dc.subjectREGRESSION ANALYSIS
dc.subjectREGRESSION EQUATION
dc.subjectREGRESSION MODEL
dc.subjectRESAMPLING
dc.subjectSIGNIFICANCE LEVEL
dc.subjectSIMULATION
dc.subjectSIMULATIONS
dc.subjectSTANDARD ERROR
dc.subjectSTANDARD ERRORS
dc.subjectTIME PERIOD
dc.subjectWEALTH
dc.titleImputed Welfare Estimates in Regression Analysisen
dspace.entity.typePublication
okr.crossref.titleImputed Welfare Estimates in Regression Analysis
okr.date.doiregistration2025-04-10T10:30:39.626705Z
okr.doctypePublications & Research::Policy Research Working Paper
okr.doctypePublications & Research
okr.docurlhttp://documents.worldbank.org/curated/en/2004/05/4265592/imputed-welfare-estimates-regression-analysis
okr.globalpracticeMacroeconomics and Fiscal Management
okr.globalpracticeTransport and ICT
okr.globalpracticeHealth, Nutrition, and Population
okr.guid601971468744324779
okr.identifier.doi10.1596/1813-9450-3294
okr.identifier.externaldocumentum000009486_20040615123917
okr.identifier.internaldocumentum4265592
okr.identifier.reportWPS3294
okr.language.supporteden
okr.pdfurlhttp://www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/2004/06/15/000009486_20040615123917/Rendered/PDF/wps3294WELFARE.pdfen
okr.region.administrativeLatin America & Caribbean
okr.region.countryEcuador
okr.topicEconomic Theory and Research
okr.topicMacroeconomics and Economic Growth::Econometrics
okr.topicStatistical and Mathematical Sciences
okr.topicGeographical Information Systems
okr.topicInformation and Communication Technologies::Information Technology
okr.topicScientific Research and Science Parks
okr.topicHealth, Nutrition and Population::Public Health Promotion
okr.topicHealth
okr.topicNutrition and Population
okr.unitOff of Sr VP Dev Econ/Chief Econ (DECVP)
okr.volume1 of 1
relation.isAuthorOfPublication4e1c5ec5-ed10-5ac7-bc5a-931a3359d573
relation.isAuthorOfPublication.latestForDiscovery4e1c5ec5-ed10-5ac7-bc5a-931a3359d573
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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