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Instrumental variable estimation of gross flows in the presence of measurement error

Record type: Article

The problem of estimating transition rates from longitudinal survey data in the presence of misclassification error is considered. Approaches which use external information on misclassification rates are reviewed, together with alternative models for measurement error. We define categorical instrumental variables and propose methods for the identification and estimation of models including such variables by viewing the model as a restricted latent class model. The numerical properties of the implied instrumental variable estimators of flow rates are studied using data from the Panel Study of Income Dynamics.

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Citation

Skinner, C.J. and Humphreys, K. (1997) Instrumental variable estimation of gross flows in the presence of measurement error Survey Methodology, 23, (1), pp. 53-60.

More information

Published date: June 1997

Identifiers

Local EPrints ID: 34672
URI: http://eprints.soton.ac.uk/id/eprint/34672
ISSN: 0714-0045
PURE UUID: 067d401f-7632-4b42-8dcc-3fc6c3eab69e

Catalogue record

Date deposited: 25 Jan 2008
Last modified: 17 Jul 2017 15:49

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Contributors

Author: C.J. Skinner
Author: K. Humphreys

University divisions


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