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Export Intensity and Plant Characteristics: What can we learn from Quantile Regression?

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    21 Citations (Scopus)

    Abstract

    Using quantile regression and a rich cross section data set for German manufacturing plants this paper documents that the impact of plant characteristics on export activities varies along the conditional size distribution of the export/sales ratio. For example, firm size is statistically significant at a conventional level for the 0.25 quantile only; branch plant status matters at the upper tail of the conditional distribution of the export/sales ratio only; the craft shop dummy is only significant for the very top quantile; and patents do not matter at the very lower end of the conditional distribution of export over sales. This has implications both for understanding what makes a successful exporter, and for the design of policy measures with a focus on supporting exporters. © 2006 The Kiel Institute.
    Original languageEnglish
    JournalReview of World Economics
    Volume142
    Issue number1
    Pages (from-to)195-203
    Number of pages9
    ISSN1610-2878
    DOIs
    Publication statusPublished - 04.2006

    Research areas and keywords

    • Economics
    • exports
    • quantile regression
    • heterogeneous firms

    ASJC Scopus Subject Areas

    • Economics, Econometrics and Finance(all)

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