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

Research output: Journal contributions › Journal articles › Research › peer-review

Standard

Export Intensity and Plant Characteristics: What can we learn from Quantile Regression? / Wagner, Joachim.
In: Review of World Economics, Vol. 142, No. 1, 04.2006, p. 195-203.

Research output: Journal contributions › Journal articles › Research › peer-review

Harvard

Wagner, J 2006, 'Export Intensity and Plant Characteristics: What can we learn from Quantile Regression?', Review of World Economics, vol. 142, no. 1, pp. 195-203. https://doi.org/10.1007/s10290-006-0063-y

APA

Wagner, J. (2006). Export Intensity and Plant Characteristics: What can we learn from Quantile Regression? Review of World Economics, 142(1), 195-203. https://doi.org/10.1007/s10290-006-0063-y

Vancouver

Wagner J. Export Intensity and Plant Characteristics: What can we learn from Quantile Regression? Review of World Economics. 2006 Apr;142(1):195-203. doi: 10.1007/s10290-006-0063-y

Bibtex

@article{1cf044ae3eb34f1fb64f0f50d9b6c7f8,
title = "Export Intensity and Plant Characteristics: What can we learn from Quantile Regression?",
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. {\textcopyright} 2006 The Kiel Institute.",
keywords = "Economics, Deutschland , Export , Unternehmensgr{\"o}{\ss}e , exports, quantile regression, heterogeneous firms",
author = "Joachim Wagner",
year = "2006",
month = apr,
doi = "10.1007/s10290-006-0063-y",
language = "English",
volume = "142",
pages = "195--203",
journal = "Review of World Economics",
issn = "1610-2878",
publisher = "Springer Verlag",
number = "1",

}

RIS

TY - JOUR

T1 - Export Intensity and Plant Characteristics: What can we learn from Quantile Regression?

AU - Wagner, Joachim

PY - 2006/4

Y1 - 2006/4

N2 - 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.

AB - 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.

KW - Economics

KW - Deutschland

KW - Export

KW - Unternehmensgröße

KW - exports

KW - quantile regression

KW - heterogeneous firms

UR - http://www.scopus.com/inward/record.url?scp=33746903920&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/0a5018d2-8661-3363-93e7-b00a09100b50/

U2 - 10.1007/s10290-006-0063-y

DO - 10.1007/s10290-006-0063-y

M3 - Journal articles

VL - 142

SP - 195

EP - 203

JO - Review of World Economics

JF - Review of World Economics

SN - 1610-2878

IS - 1

ER -

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Other publications by the same author(s)

A Note on Estimation of Empirical Models for Margins of Exports with Unknown Non-linear Functional Forms: A Kernel-Regularized Least Squares (KRLS) Approach

Wagner, J., 2025, (Accepted/In press) In: Jahrbucher fur Nationalokonomie und Statistik. 2025, 10 p.

Research output: Journal contributions › Journal articles › Research › peer-review

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Research output: Journal contributions › Journal articles › Research › peer-review

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Wagner, J., 07.2025, In: Open Economies Review. 36, 3, p. 825-834 10 p.

Research output: Journal contributions › Journal articles › Research › peer-review

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Wagner, J., 01.04.2024, In: Review of Economics. 75, 1, p. 63-70 8 p.

Research output: Journal contributions › Journal articles › Research › peer-review

Editorial: Best Paper Award 2022

Tillmann, P., Wagner, J. & Ziebarth, N., 01.12.2023, In: Jahrbucher fur Nationalokonomie und Statistik. 243, 6, p. 597-598 2 p.

Research output: Journal contributions › Other (editorial matter etc.) › Research

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