Publication:
Empirical Econometric Evaluation of Alternative Methods of Dealing with Missing Values in Investment Climate Surveys

dc.contributor.authorEscribano, Alvaro
dc.contributor.authorPena, Jorge
dc.contributor.authorGuasch, J. Luis
dc.date.accessioned2012-03-19T18:40:36Z
dc.date.available2012-03-19T18:40:36Z
dc.date.issued2010-06-01
dc.description.abstractInvestment climate Surveys are valuable instruments that improve our understanding of the economic, social, political, and institutional factors determining economic growth, particularly in emerging and transition economies. However, at the same time, they have to overcome some difficult issues related to the quality of the information provided; measurement errors, outlier observations, and missing data that are frequently found in these datasets. This paper discusses the applicability of recent procedures to deal with missing observations in investment climate surveys. In particular, it presents a simple replacement mechanism -- for application in models with a large number of explanatory variables -- which in turn is a proxy of two methods: multiple imputations and an export-import algorithm. The performance of this method in the context of total factor productivity estimation in extended production functions is evaluated using investment climate surveys from four countries: India, South Africa, Tanzania, and Turkey. It is shown that the method is very robust and performs reasonably well even under different assumptions on the nature of the mechanism generating missing data.en
dc.identifierhttp://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20100623140811
dc.identifier.doi10.1596/1813-9450-5346
dc.identifier.urihttps://hdl.handle.net/10986/3832
dc.languageEnglish
dc.relation.ispartofseriesPolicy Research working paper ; no. WPS 5346
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/igo/
dc.subjectALGORITHMS
dc.subjectBENCHMARK
dc.subjectBIASES
dc.subjectBOOTSTRAP
dc.subjectBUSINESS ENVIRONMENT
dc.subjectCLASSIFICATION
dc.subjectCLASSIFYING
dc.subjectCLUSTERING
dc.subjectCOMPETITIVENESS
dc.subjectCOMPUTATION
dc.subjectCUSTOMS
dc.subjectDESCRIPTION
dc.subjectDESCRIPTIVE STATISTICS
dc.subjectE-MAIL
dc.subjectECONOMETRIC ANALYSIS
dc.subjectECONOMETRIC MODELS
dc.subjectECONOMIC PERFORMANCE
dc.subjectELECTRICITY
dc.subjectENTERPRISE SURVEYS
dc.subjectEQUATIONS
dc.subjectEQUIPMENT
dc.subjectEXOGENOUS VARIABLES
dc.subjectEXPORTS
dc.subjectFOREIGN CURRENCY
dc.subjectIMPUTATION METHOD
dc.subjectIMPUTATION PROCESS
dc.subjectINDEPENDENT VARIABLES
dc.subjectINNOVATION
dc.subjectINSPECTIONS
dc.subjectINTANGIBLE ASSETS
dc.subjectLICENSE
dc.subjectLINEAR REGRESSION
dc.subjectMANUFACTURING
dc.subjectMARKET SHARE
dc.subjectMARKETING
dc.subjectMATRICES
dc.subjectMATRIX
dc.subjectMEASUREMENT ERRORS
dc.subjectMISSING DATA
dc.subjectMISSING OBSERVATIONS
dc.subjectMISSING VALUE
dc.subjectMISSING VALUES
dc.subjectMULTIPLE IMPUTATION
dc.subjectMULTIPLE IMPUTATIONS
dc.subjectNEW TECHNOLOGIES
dc.subjectNEW TECHNOLOGY
dc.subjectNORMAL DISTRIBUTIONS
dc.subjectOUTLIERS
dc.subjectOUTSOURCING
dc.subjectPRIVATE SECTOR
dc.subjectPROBABILITY
dc.subjectPROBABILITY MODELS
dc.subjectPRODUCT INNOVATION
dc.subjectPRODUCTION FUNCTION
dc.subjectPRODUCTION FUNCTIONS
dc.subjectPRODUCTIVITY
dc.subjectPUBLISHING
dc.subjectR&D
dc.subjectRANDOM SAMPLING
dc.subjectREGRESSION ANALYSIS
dc.subjectRESEARCHER
dc.subjectRESEARCHERS
dc.subjectRESULT
dc.subjectRESULTS
dc.subjectSAMPLE SELECTION
dc.subjectSAMPLE SIZE
dc.subjectSENSITIVITY ANALYSIS
dc.subjectSTANDARD DEVIATION
dc.subjectSTANDARD ERRORS
dc.subjectSTATISTICAL ANALYSES
dc.subjectSTATISTICAL ANALYSIS
dc.subjectSTATISTICAL METHODS
dc.subjectSTATISTICIANS
dc.subjectTELECOMMUNICATIONS
dc.subjectTOTAL FACTOR PRODUCTIVITY
dc.subjectTRANSITION ECONOMIES
dc.subjectUSES
dc.subjectVALIDITY
dc.subjectWEB
dc.subjectWEB PAGE
dc.titleEmpirical Econometric Evaluation of Alternative Methods of Dealing with Missing Values in Investment Climate Surveysen
dspace.entity.typePublication
okr.crossref.titleEmpirical Econometric Evaluation Of Alternative Methods Of Dealing With Missing Values In Investment Climate Surveys
okr.date.doiregistration2025-04-10T11:46:36.141807Z
okr.doctypePublications & Research::Policy Research Working Paper
okr.docurlhttp://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20100623140811
okr.guid648011468317992083
okr.identifier.doi10.1596/1813-9450-5346
okr.identifier.externaldocumentum000158349_20100623140811
okr.identifier.internaldocumentum12461308
okr.identifier.reportWPS5346
okr.language.supporteden
okr.pdfurlhttp://www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/2010/06/23/000158349_20100623140811/Rendered/PDF/WPS5346.pdfen
okr.region.countryIndia
okr.region.countryTanzania
okr.region.countryTurkiye
okr.region.geographicalSouthern Africa
okr.unitDevelopment Research Group (DECRG)
okr.volume1 of 1
relation.isAuthorOfPublication4cc9b022-436f-51a0-b40d-6c4438bbced2
relation.isAuthorOfPublication.latestForDiscovery4cc9b022-436f-51a0-b40d-6c4438bbced2
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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