Export Intensity and Plant Characteristics: What can we learn from Quantile Regression?
Research output: Journal contributions › Journal articles › Research › peer-review
Authors
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 language | English |
---|---|
Journal | Review of World Economics |
Volume | 142 |
Issue number | 1 |
Pages (from-to) | 195-203 |
Number of pages | 9 |
ISSN | 1610-2878 |
DOIs | |
Publication status | Published - 04.2006 |
- Economics - exports, quantile regression, heterogeneous firms