Occupation coding during the interview

Malte Schierholz, Miriam Gensicke and Nikolai Tschersich
Additional contact information
Malte Schierholz: Institute for Employment Research (IAB), Nuremberg, Germany
Miriam Gensicke: TNS Infratest Sozialforschung
Nikolai Tschersich: TNS Infratest Sozialforschung

No 201617, IAB-Discussion Paper from Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany]

Abstract: "Currently, most surveys ask for occupation with open-ended questions. The verbatim responses are coded afterwards, which is error-prone and expensive. We describe an alternative approach that allows occupation coding during the interview. Our new technique utilizes a supervised learning algorithm to predict candidate job categories. These suggestions are presented to the respondent, who can in turn choose the most adequate occupation. 72.4% of the respondents selected an occupation when the new instrument was tested in a telephone survey, implicating potential cost savings. To aid further improvements, we identify a number of factors how to increase quality and reduce interview duration." (Author's abstract, IAB-Doku) ((en))

Keywords: Beruf; Codierung; Datenqualität; Interview (search for similar items in EconPapers)
JEL-codes: C83 J40 (search for similar items in EconPapers)
Pages: 30 pages
Date: 2016
New Economics Papers: this item is included in nep-lma
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Published in/as: Journal of the Royal Statistical Society. Series A, Statistics in Society, 181 (2018), 2, 379-407, doi:10.1111/rssa.12297

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Persistent link: https://EconPapers.repec.org/RePEc:iab:iabdpa:201617

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