IDEAS home Printed from https://ideas.repec.org/p/iab/iabdpa/201813.html
   My bibliography  Save this paper

Eine Hilfsklassifikation mit Tätigkeitsbeschreibungen für Zwecke der Berufskodierung : Leitgedanken und Dokumentation

Author

Listed:
  • Schierholz, Malte

    (Institute for Employment Research (IAB), Nuremberg, Germany ; Mannheimer Zentrum für Europäische Sozialforschung ; Univ. Mannheim)

  • Brenner, Lorraine

    (Univ. Mannheim)

  • Cohausz, Lea

    (Univ. Mannheim)

  • Damminger, Lisa

    (Univ. Mannheim)

  • Fast, Lisa

    (Univ. Mannheim)

  • Hörig, Ann-Kathrin

    (Univ. Mannheim)

  • Huber, Anna-Lena

    (Univ. Mannheim)

  • Ludwig, Theresa

    (Univ. Mannheim)

  • Petry, Annabell

    (Univ. Mannheim)

  • Tschischka, Laura

    (Univ. Mannheim)

Abstract

"Occupational classifications are structured by the type of work that employees perform. Consequently, German surveys ask employees about the work they perform in order to collect information about occupation. Although the question is tailored to this classification principle, category definitions describing the work are infrequently used for coding. Instead, coding is more indirect as coders often select job titles from a separate coding index. Since many job titles are imprecise and do not sufficiently describe the work actually performed, incorrect assignments may occur. As an alternative, we develop an auxiliary classification describing work activities, useful for computer-assisted coding. It allows coders to select the most appropriate work activity without using imprecise job titles for coding. The new auxiliary classification is based on both the 2010 German Classification of Occupations and the 2008 International Standard Classification of Occupations and allows simultaneous coding to both classifications. The greatest benefits are realized if detailed knowledge about the respondents' work activities is available. Therefore, the auxiliary classification is most useful if respondents themselves can select the most appropriate work activity from it." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • 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].
  • Handle: RePEc:iab:iabdpa:201813
    as

    Download full text from publisher

    File URL: https://doku.iab.de/discussionpapers/2018/dp1318.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tijdens Kea, 2014. "Dropout Rates and Response Times of an Occupation Search Tree in a Web Survey," Journal of Official Statistics, Sciendo, vol. 30(1), pages 23-43, March.
    2. Martina Rebien & Michael Stops & Anna Zaharieva, 2020. "Formal Search And Referrals From A Firm'S Perspective," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(4), pages 1679-1748, November.
    3. Horwitz, Rachel & Brockhaus, Sarah & Henninger, Felix & Kieslich, Pascal & Schierholz, Malte & Keusch, Florian & Kreuter, Frauke, 2017. "Learning from mouse movements: Improving questionnaire and respondents' user experience through passive data collection," IAB-Discussion Paper 201734, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. repec:ilo:ilowps:325056 is not listed on IDEAS
    5. 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.
    6. Hutter, Christian & Weber, Enzo, 2017. "The effects of skill-biased technical change on productivity flattening and hours worked," IAB-Discussion Paper 201732, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Conrad Frederick G. & Couper Mick P. & Sakshaug Joseph W., 2016. "Classifying Open-Ended Reports: Factors Affecting the Reliability of Occupation Codes," Journal of Official Statistics, Sciendo, vol. 32(1), pages 75-92, March.
    8. Andreas Damelang & Florian Schulz & Basha Vicari, 2015. "Institutionelle Eigenschaften von Berufen und ihr Einfluss auf berufliche Mobilität in Deutschland," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 135(3), pages 307-334.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Schierholz, Malte & Gensicke, Miriam & Tschersich, Nikolai, 2016. "Occupation coding during the interview," IAB-Discussion Paper 201617, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Brian Fabo & Miroslav BEBLAVY & Karolien LENAERTS & Zachary KILHOFFER, 2017. "An overview of European Platforms: Scope and Business Models," JRC Research Reports JRC109190, Joint Research Centre.
    3. Hensel, Lukas & Tekleselassie, Tsegay & Witte, Marc J., 2021. "Formalized Employee Search and Labor Demand," IZA Discussion Papers 14839, Institute of Labor Economics (IZA).
    4. repec:iab:iabfme:201513(en is not listed on IDEAS
    5. Neugart, Michael & Zaharieva, Anna, 2018. "Social Networks, Promotions, and the Glass-Ceiling Effect," Center for Mathematical Economics Working Papers 601, Center for Mathematical Economics, Bielefeld University.
    6. Massing Natascha & Wasmer Martina & Wolf Christof & Zuell Cornelia, 2019. "How Standardized is Occupational Coding? A Comparison of Results from Different Coding Agencies in Germany," Journal of Official Statistics, Sciendo, vol. 35(1), pages 167-187, March.
    7. Söhn, Janina, 2024. "Berufliche Neuanfänge in der zweiten Lebenshälfte: Alter und berufliche Mobilität: aufwärts, abwärts oder nur anders?," Working Paper Forschungsförderung 342, Hans-Böckler-Stiftung, Düsseldorf.
    8. Zainab Iftikhar & Anna Zaharieva, 2019. "General equilibrium effects of immigration in Germany: Search and matching approach," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 31, pages 245-276, January.
    9. Gweon Hyukjun & Schonlau Matthias & Kaczmirek Lars & Blohm Michael & Steiner Stefan, 2017. "Three Methods for Occupation Coding Based on Statistical Learning," Journal of Official Statistics, Sciendo, vol. 33(1), pages 101-122, March.
    10. Pubali Chakraborty & Kanika Mahajan, 2023. "Firm Size and Female Employment," Working Papers 103, Ashoka University, Department of Economics.
    11. Brändle, Tobias & Grunau, Philipp & Haylock, Michael & Kampkötter, Patrick, 2020. "Recruitment strategies and match quality - New evidence from representative linked employer-employee data," University of Tübingen Working Papers in Business and Economics 134, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
    12. Magdalena Smyk & Joanna Tyrowicz & Lucas van der Velde, 2021. "A Cautionary Note on the Reliability of the Online Survey Data: The Case of Wage Indicator," Sociological Methods & Research, , vol. 50(1), pages 429-464, February.
    13. Moon, Ji-Woong, 2023. "Strategic referrals and on-the-job search equilibrium," Journal of Monetary Economics, Elsevier, vol. 134(C), pages 135-151.
    14. Alaverdyan, Sevak & Zaharieva, Anna, 2022. "Immigration, social networks and occupational mismatch," Economic Modelling, Elsevier, vol. 114(C).
    15. Tobias Maier & Caroline Neuber-Pohl & Anke Mönnig & Gerd Zika & Michael Kalinowski, 2017. "Modelling reallocation processes in long-term labour market projections [Modellierung von Anpassungsprozessen in langfristigen Arbeitsmarktprojektionen]," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 50(1), pages 67-90, August.
    16. Vicari, Basha, 2018. "Der Einfluss strukturierender Eigenschaften von Berufen auf horizontale und vertikale berufliche Mobilität im Kohortenvergleich," IAB-Discussion Paper 201825, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    17. Matteo Cacciatore & Giuseppe Fiori & Nora Traum, 2020. "Hours and Employment Over the Business Cycle: A Structural Analysis," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 35, pages 240-262, January.
    18. repec:iab:iabfme:201513(de is not listed on IDEAS
    19. Mario Bossler & Nicole Gürtzgen & Alexander Kubis & Benjamin Küfner & Benjamin Lochner, 2020. "The IAB Job Vacancy Survey: design and research potential," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-12, December.
    20. Stefano Visintin & Kea Tijdens & Maarten van Klaveren, 2015. "Skill mismatch among migrant workers: evidence from a large multi-country dataset," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-34, December.
    21. Vicari, Basha & Zmugg, Hemma, 2015. "Die Befragung "Betriebliche Personalpolitik und offene Stellen" : Erhebungsdesign, Befragungsverlauf und Datenqualitätsanalysen," FDZ Methodenreport 201513_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    22. Žilvinas Martinaitis & Aleksandr Christenko & Jonas AntanaviÄ ius, 2021. "Upskilling, Deskilling or Polarisation? Evidence on Change in Skills in Europe," Work, Employment & Society, British Sociological Association, vol. 35(3), pages 451-469, June.

    More about this item

    Keywords

    Bundesrepublik Deutschland ; ausgeübter Beruf ; Befragung ; Berufsbeschreibung ; Berufsklassifikation ; Codierung ; ISCO ; Tätigkeitsmerkmale;
    All these keywords.

    JEL classification:

    • J40 - Labor and Demographic Economics - - Particular Labor Markets - - - General
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iab:iabdpa:201813. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: IAB, Geschäftsbereich Wissenschaftliche Fachinformation und Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/iabbbde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.