Detecting Reporting Errors in Data from Decentralised Autonomous Administrations with an Application to Hospital Data Cover

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Detecting Reporting Errors in Data from Decentralised Autonomous Administrations with an Application to Hospital Data

Journal of Official Statistics

Volume 34 (2018): Issue 4 (December 2018)

By: Arnout van Delden, Jan van der Laan and Annemarie Prins

Open Access

|Dec 2018

Authors

Arnout van Delden

a.vandelden@cbs.nl

Statistics Netherlands, Department of Process Development and Methodology, The Hague, Netherlands

Jan van der Laan

dj.vanderlaan@cbs.nl

Statistics Netherlands, Department of Process Development and Methodology, The Hague, Netherlands

Annemarie Prins

a.prins@nivel.nl

Netherlands Institute for Health Services Research (Nivel), Utrecht, Netherlands

DOI: https://doi.org/10.2478/jos-2018-0043 | Journal eISSN: 2001-7367

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Language: English

Page range: 863 - 888

Submitted on: Jun 1, 2017

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Accepted on: May 1, 2018

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Published on: Dec 14, 2018

Published by: Sciendo

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Administrative data,

measurement errors,

predictive mean matching,

reporting errors,

selective editing

Related subjects:

Probability and statistics

© 2018 Arnout van Delden, Jan van der Laan, Annemarie Prins, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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