Exports, international investment, and plant performance: evidence from a non-parametric test

Sourafel Girma (), Holger GïRG and Eric Albert Strobl ()

No 2004009, CORE Discussion Papers from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)

Abstract: This paper compares the performance of purely domestic plants, domestic exporters and domestic multinationals. For our empirical analysis we utilise a non-parametric approach based on the principle of first order stochastic dominance. Comparing the cumulative distributions of the measures of plant performance across the three types of plants we find that the distributions for multinationals dominate that of domestic exporters and non-exporters, while we do not find clear differences in plant performance between domestic exporters and nonexporters, although the latter finding may be due to the lack of many very small plants in our data set.

Keywords: exporting; FDI; multinationals; productivity; proÞtability; plant heterogeneity (search for similar items in EconPapers)
JEL-codes: F23 F14 D21 (search for similar items in EconPapers)
Date: 2004-04-01
View list of references View citations in EconPapers

Downloads: (external link)
http://www.core.ucl.ac.be/services/psfiles/dp04/dp2004_9.pdf (application/pdf)

Related works:
Working Paper: Exports, International Investment, and Plant Performance: Evidence from a Non-Parametric Test (2003)
Journal Article: Exports, international investment, and plant performance: evidence from a non-parametric test (2004)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:cor:louvco:2004009

Access Statistics for this paper

More papers in CORE Discussion Papers from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)
Address: Voie du Roman Pays 34, 1348 Louvain-la-Neuve (Belgium)
Contact information at EDIRC.
Series data maintained by Alain GILLIS ().