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    The Consequences of Non-Classical Measurement Error for Distributional Analysis.


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    O'Neill, Donal (2004) The Consequences of Non-Classical Measurement Error for Distributional Analysis. UNSPECIFIED. (Unpublished)

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    Abstract

    This paper analyzes the consequences of non-classical measurement error for distributional analysis. We show that for a popular set of distributions negative correlation between the measurement error (u) and the true value (y) may reduce the bias in the estimated distribution at every value of y*. For other distributions the impact of non-classical measurement differs throughout results using models of unemployment duration and income.
    Item Type: Other
    Keywords: Distribution functions, Non-classical measurement error
    Academic Unit: Faculty of Social Sciences > Economics, Finance and Accounting
    Item ID: 205
    Depositing User: Ms Sandra Doherty
    Date Deposited: 17 Feb 2005
    Refereed: No
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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