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Journals
Journal of Official Statistics
Volume 33 (2017): Issue 1 (March 2017)
Open Access
Three Methods for Occupation Coding Based on Statistical Learning
Hyukjun Gweon
Hyukjun Gweon
,
Matthias Schonlau
Matthias Schonlau
,
Lars Kaczmirek
Lars Kaczmirek
,
Michael Blohm
Michael Blohm
and
Stefan Steiner
Stefan Steiner
| Feb 21, 2017
Journal of Official Statistics
Volume 33 (2017): Issue 1 (March 2017)
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Published Online:
Feb 21, 2017
Page range:
101 - 122
Received:
Mar 01, 2016
Accepted:
Oct 01, 2016
DOI:
https://doi.org/10.1515/jos-2017-0006
Keywords
Automated coding
,
Machine learning
,
ISCO-88
,
ALLBUS
© by Hyukjun Gweon
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Hyukjun Gweon
Department of Statistics and Actuarial Science, University of Waterloo, 200 University Avenue West, Waterloo, Ontario N2L 3G1
Canada
Matthias Schonlau
Department of Statistics and Actuarial Science, University of Waterloo, 200 University Avenue West, Waterloo, Ontario N2L 3G1
Canada
Lars Kaczmirek
GESIS – Leibniz-Institute for the Social Sciences, PO Box 12 21 55, D-68072 Mannheim,
Germany
Michael Blohm
GESIS – Leibniz-Institute for the Social Sciences, PO Box 12 21 55, D-68072 Mannheim,
Germany
Stefan Steiner
Department of Statistics and Actuarial Science, University of Waterloo, 200 University Avenue West, Waterloo, Ontario N2L 3G1
Canada