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 (Unpublished)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 |
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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 |
URI: | |
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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