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.
Hamburg: Hamburgisches Welt-Wirtschafts-Archiv - HWWA , 2004. (HWWA discussion paper; No. 304).

Research output: Working paper › Working papers

Bibtex

@techreport{7fa1b0b5d89d499bb2234fd6997f0b13,

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 = "HWWA discussion paper",

publisher = "Hamburgisches Welt-Wirtschafts-Archiv - HWWA ",

number = "304",

type = "WorkingPaper",

institution = "Hamburgisches Welt-Wirtschafts-Archiv - HWWA ",

}

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 - HWWA discussion paper

BT - Export intensity and plant characteristics

PB - Hamburgisches Welt-Wirtschafts-Archiv - HWWA

CY - Hamburg

ER -