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Unit nonresponse at the firm level: a cross-border analysis using the IAB-ReLOC data

Author

Listed:
  • Hecht, Veronika

    (Institute for Employment Research (IAB), Nuremberg, Germany)

  • Litzel, Nicole

    (IAB)

  • Schäffler, Johannes

    (IAB)

Abstract

"The labour market effects of foreign direct investments (FDI) are a topic of constant interest. However, research progress is hindered as most datasets applied in research on this topic suffer from selectivity with respect to firm size. To overcome this deficiency a unique dataset that covers the total population of German firms with FDI in the Czech Republic and their Czech affiliates has been created: the IAB-ReLOC data. Based on this dataset, two points of high relevance are addressed in this paper. First, by presenting the generation process of this unique dataset the paper wants to provide guidance for similar cross-border data compilation projects and for researchers working with the data. Second, new insights on unit nonresponse in a firm-level survey are revealed. Based on multi-level logit models, the influence of firm and interviewer characteristics and of FDI features on survey participation is analysed. The main result is that apart from firm size and interviewer involvement, the response behaviour is related to the distance to the German-Czech border and to the strength of the cross-border relationship. What concerns the two latter characteristics, differences between German and Czech firms are identified." (Author's abstract, © Springer-Verlag) ((en))

Suggested Citation

  • Hecht, Veronika & Litzel, Nicole & Schäffler, Johannes, 2019. "Unit nonresponse at the firm level: a cross-border analysis using the IAB-ReLOC data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 53(1), pages 1-2.
    • Handle: RePEc:iab:iabjlr:v:53:p:art.02
    DOI: 10.1186/s12651-018-0251-y
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    References listed on IDEAS

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    1. Laura Alfaro & Andrew Charlton, 2009. "Intra-industry Foreign Direct Investment," American Economic Review, American Economic Association, vol. 99(5), pages 2096-2119, December.
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    Citations

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    Cited by:

    1. Konstantin Koerner & Michael Moritz & Johannes Schäffler, 2022. "Foreign direct investment and onshore employment dynamics: Evidence from German firms with affiliates in the Czech Republic," The World Economy, Wiley Blackwell, vol. 45(6), pages 1773-1829, June.
    2. Patrick Gleiser & Joseph W. Sakshaug & Marieke Volkert & Peter Ellguth & Susanne Kohaut & Iris Möller, 2022. "Introducing Web in a mixed‐mode establishment survey: Effects on nonresponse," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 891-915, July.
    3. Benjamin Küfner & Joseph W. Sakshaug & Stefan Zins, 2022. "Analysing establishment survey non‐response using administrative data and machine learning," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 310-342, December.
    4. Benjamin Küfner & Joseph W. Sakshaug & Stefan Zins, 2022. "Establishment survey participation during the COVID-19 pandemic," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 56(1), pages 1-18, December.

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    More about this item

    Keywords

    Bundesrepublik Deutschland ; Tschechische Republik ; IAB-Open-Access-Publikation ; Auslandsinvestitionen ; Beschäftigungseffekte ; Betriebsbefragung ; Non Response ; Investitionsanreiz ; multinationale Unternehmen ; Antwortverhalten ; Interviewereffekt ; Unternehmensgröße;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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