Please use this identifier to cite or link to this item: https://hdl.handle.net/10620/17363
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dc.contributor.authorDunn, P.K.-
dc.contributor.authorBrown, J.E.-
dc.date.accessioned2019-04-13T03:34:37Zen
dc.date.accessioned2011-11-28T21:03:24Zen
dc.date.available2011-11-28T21:03:24Zen
dc.date.issued2011-07-29-
dc.identifier.urihttps://hdl.handle.net/10620/17363en
dc.identifier.urihttp://hdl.handle.net/10620/3497en
dc.description.abstractTime use data (TUD) are distinctive, being episodic in nature and consisting of both continuous and discrete (exact zeros) values. TUD is non-negative and generally right skewed. To analyze such data, the Tobit, and to a lesser extent, linear regression models are often used. Tobit models assume the zeros represent censored values of an underlying normally distributed latent variable that theoretically includes negative values. Both the linear regression and Tobit models have normality as a key assumption. The Poissongamma distribution is a distribution with both a point mass at zero (corresponding to zero time spent on a given activity) and a continuous component. Using generalized linear models, TUD can be modeled utilizing the Poisson-gamma distribution. Using TUD, Tobit and linear regression models are compared to the Poisson-gamma with respect to the interpretation of the model, the model fit (analysis of residuals), and model performance through the use of a simulated data experiment. The Poisson-gamma is found to be theoretically and empirically more sound in many circumstances.en
dc.subjectSurveys and Survey Methodologyen
dc.subject.classificationSurveys and Survey Methodologyen
dc.titleComparisons of Tobit, Linear, and Poisson-Gamma Regression Models : An Application of Time Use Dataen
dc.typeJournal Articlesen
dc.identifier.doi10.1177/0049124111415370en
dc.identifier.urlhttps://journals.sagepub.com/doi/abs/10.1177/0049124111415370en
dc.identifier.surveyLSACen
dc.identifier.rishttp://flosse.dss.gov.au//ris.php?id=3791en
dc.description.keywordsLinearen
dc.description.keywordsTobiten
dc.description.keywordsTime-use dataen
dc.description.keywordsRegression modelsen
dc.description.keywordsPoisson-gammaen
dc.identifier.journalSociological Methods and Researchen
dc.identifier.volume40en
dc.description.pages511-535en
dc.identifier.issue3en
local.identifier.id3791en
dc.title.bookSociological Methods & Researchen
dc.subject.dssSurveys and survey methodologyen
dc.subject.dssmaincategorySurveys and Survey Methodologyen
dc.subject.flosseSurveys and Survey Methodologyen
dc.relation.surveyLSACen
dc.old.surveyvalueLSACen
item.openairetypeJournal Articles-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Journal Articles
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