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Occupation coding during the interview

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  • Malte Schierholz
  • Miriam Gensicke
  • Nikolai Tschersich
  • Frauke Kreuter

Abstract

Currently, most surveys ask for occupation with open‐ended questions. The verbal responses are coded afterwards, which is error prone and expensive. We present an alternative approach that allows occupation coding during the interview. Our new technique uses a supervised learning algorithm to predict candidate job categories. These suggestions are presented to the respondent, who in turn can choose the most appropriate occupation. 72.4% of the respondents selected an occupation when the new instrument was tested in a telephone survey, entailing potential cost savings. To aid further improvements, we identify some factors for how to increase quality and to reduce interview duration.

Suggested Citation

  • Malte Schierholz & Miriam Gensicke & Nikolai Tschersich & Frauke Kreuter, 2018. "Occupation coding during the interview," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(2), pages 379-407, February.
    • Handle: RePEc:bla:jorssa:v:181:y:2018:i:2:p:379-407
    DOI: 10.1111/rssa.12297
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    Cited by:

    1. Schierholz, Malte & Brenner, Lorraine & Cohausz, Lea & Damminger, Lisa & Fast, Lisa & Hörig, Ann-Kathrin & Huber, Anna-Lena & Ludwig, Theresa & Petry, Annabell & Tschischka, Laura, 2018. "Eine Hilfsklassifikation mit Tätigkeitsbeschreibungen für Zwecke der Berufskodierung : Leitgedanken und Dokumentation," IAB-Discussion Paper 201813, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

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