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    Missing Measurements in Limited Dependent Variable Models

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    Issue Date
    1987
    Author
    Lien, Donald
    Rearden, David
    Publisher
    Institute for Public Policy and Business Research, University of Kansas
    Type
    Technical Report
    Is part of series
    Technical Report;3
    Rights
    Copyright 1987, Institute for Public Policy and Business Research, University of Kansas
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    Abstract
    In 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.
    URI
    http://hdl.handle.net/1808/33233
    Collections
    • IPSR Published Works [305]
    Citation
    Donald 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).

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    785-864-8983

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    Lawrence, KS 66045
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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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