Imputation of Housing Rents for Owners Using Models With Heckman Correction

dc.accessRightsAnonymous
dc.audienceWissenschaft
dc.contributor.authorHulliger, Beat
dc.contributor.authorWiegand, Gordon
dc.date.accessioned2015-10-05T15:42:58Z
dc.date.available2015-10-05T15:42:58Z
dc.date.issued2012
dc.description.abstractThe direct income of owners and tenants of dwellings is not comparable since the owners have a hidden income from the investment in their dwelling. This hidden income is considered a part of the disposable income of owners. It may be predicted with the help of a linear model of the rent. Since such a model must be developed and estimated for tenants with observed market rents a selection bias may occur. The selection bias can be minimised through a Heckman correction. The paper applies the Heckman correction to data from the Swiss Statistics on Income and Living Conditions. The Heckman method is adapted to the survey context, the modeling process including the choice of covariates is explained and the effect of the prediction using the model is discussed.
dc.identifier.doihttps://doi.org/10.18148/srm/2012.v6i2.5028
dc.identifier.issn1864-3361
dc.identifier.urihttp://hdl.handle.net/11654/9747
dc.issue2
dc.language.isoen_UK
dc.publisherEuropean Survey Research Associationen_US
dc.relation.ispartofSurvey Research Methodsen_US
dc.subjectSelection bias
dc.subjectStatistics on Income and Living Conditions
dc.subjectimputed rents
dc.subjectsurvey data
dc.subject.ddc330 - Wirtschaft
dc.subject.ddc659 - Werbung & Public Releations (PR)
dc.titleImputation of Housing Rents for Owners Using Models With Heckman Correction
dc.type01A - Beitrag in wissenschaftlicher Zeitschrift
dc.volume6
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publication
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutInstitute for Competitiveness and Communicationde_CH
fhnw.publicationStatePublished
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relation.isAuthorOfPublication78aa632a-671a-494b-b88c-d40975b65d9a
relation.isAuthorOfPublication.latestForDiscovery8f7e3774-71da-4779-9965-06869f77ecc4
Dateien