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

Joachim Wagner

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

Research output: Working paper › Working papers

Standard

Export intensity and plant characteristics: what can we learn from quantile regression? / Wagner, Joachim.
Lüneburg: Institut für Volkswirtschaftslehre der Universität Lüneburg, 2004. (Arbeitsbericht; No. 323).

Research output: Working paper › Working papers

Harvard

Wagner, J 2004 'Export intensity and plant characteristics: what can we learn from quantile regression?' Arbeitsbericht, no. 323, Institut für Volkswirtschaftslehre der Universität Lüneburg, Lüneburg.

APA

Wagner, J. (2004). Export intensity and plant characteristics: what can we learn from quantile regression? (Arbeitsbericht; No. 323). Institut für Volkswirtschaftslehre der Universität Lüneburg.

Vancouver

Wagner J. Export intensity and plant characteristics: what can we learn from quantile regression? Lüneburg: Institut für Volkswirtschaftslehre der Universität Lüneburg. 2004. (Arbeitsbericht; 323).

Bibtex

@techreport{4b7c3fe5670b48e0a698ed3f24ec34ce,

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. ",

keywords = "Economics, Deutschland , Export , Unternehmensgr{\"o}{\ss}e , Exports, quantile regression, heterogeneous firms",

author = "Joachim Wagner",

year = "2004",

language = "English",

series = "Arbeitsbericht",

publisher = "Institut f{\"u}r Volkswirtschaftslehre der Universit{\"a}t L{\"u}neburg",

number = "323",

type = "WorkingPaper",

institution = "Institut f{\"u}r Volkswirtschaftslehre der Universit{\"a}t L{\"u}neburg",

}

RIS

TY - UNPB

T1 - Export intensity and plant characteristics

T2 - what can we learn from quantile regression?

AU - Wagner, Joachim

PY - 2004

Y1 - 2004

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.

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.

KW - Economics

KW - Deutschland

KW - Export

KW - Unternehmensgröße

KW - Exports

KW - quantile regression

KW - heterogeneous firms

M3 - Working papers

T3 - Arbeitsbericht

BT - Export intensity and plant characteristics

PB - Institut für Volkswirtschaftslehre der Universität Lüneburg

CY - Lüneburg

ER -

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