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Missing Measurements in Limited Dependent Variable Models

dc.contributor.authorLien, Donald
dc.contributor.authorRearden, David
dc.date.accessioned2022-08-16T16:16:42Z
dc.date.available2022-08-16T16:16:42Z
dc.date.issued1987
dc.identifier.citationDonald Lien, David Rearden. Missing Measurements in Limited Dependent Variable Models. Institute for Public Policy and Business Research, University of Kansas. Technical Report Series: 3 (1987).en_US
dc.identifier.urihttp://hdl.handle.net/1808/33233
dc.description.abstractIn this paper, we investigate the problem, whether or not incomplete observations contain any information about the parameters that could be used in their estimation, as it applies to limited dependent variable models. The answers differ between binary response models and Tobit response models when serial correlation prevails given missing observations on independent variables. If, instead, missing observations pertain to the dependent variable, we have negative answers for both.en_US
dc.publisherInstitute for Public Policy and Business Research, University of Kansasen_US
dc.relation.ispartofseriesTechnical Report;3
dc.rightsCopyright 1987, Institute for Public Policy and Business Research, University of Kansasen_US
dc.titleMissing Measurements in Limited Dependent Variable Modelsen_US
dc.typeTechnical Reporten_US
dc.rights.accessrightsopenAccessen_US


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