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

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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

  • Economics - exports, quantile regression, heterogeneous firms

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