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

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Standard

Export Intensity and Plant Characteristics: What can we learn from Quantile Regression? / Wagner, Joachim.
in: Review of World Economics, Jahrgang 142, Nr. 1, 04.2006, S. 195-203.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Harvard

APA

Vancouver

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",
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 -

DOI