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Export intensity and plant characteristics: what can we learn from quantile regression?

    Research output: Working paperWorking papers

    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.
    Original languageEnglish
    Place of PublicationHamburg
    PublisherHamburgisches Welt-Wirtschafts-Archiv - HWWA
    Number of pages8
    Publication statusPublished - 2004

    Research areas and keywords

    • Economics
    • exports
    • quantile regression
    • heterogeneous firms

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