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Title: A stochastic frontier analysis of trade efficiency for the new EU member states: Implications of Brexit
Authors: Stack, Marie M.
Pentecost, Eric J.
Ravishankar, Geetha
Keywords: Gravity model
Stochastic frontier analysis
New member states
Brexit
Issue Date: 2017
Publisher: Nottingham Trent University
Citation: STACK, M.M., PENTECOST, E.J. and RAVISHANKAR, G., 2017. A stochastic frontier analysis of trade efficiency for the new EU member states: Implications of Brexit. Economic Issues, In Press.
Abstract: Examining the trade performance for the new European Union (EU) member states is an important issue in the context of the enlargement process – and in a new era of membership contraction with the likely exit of the United Kingdom from the EU. Typically, the degree of trade integration is assessed by comparing actual trade volumes with potential trade volumes projected from the gravity model parameters estimated for a reference group of countries that best represent normal trade relations. This approach, however, does not compare trade levels against a maximum level of trade defined by a stochastic frontier. In this paper, a stochastic frontier specification of the gravity model is used to identify the efficiency of trade integration relative to maximum trade levels. The findings, based on a panel dataset of bilateral exports from 18 Western European countries to the 13 new member states over the 1995-2022 period, indicate a high degree of trade integration close to two-thirds of frontier estimates. Using forecast data for 2017-2022, trade efficiency should remain broadly stable and even increase for the larger countries in the likely post-Brexit phase.
Description: This paper is in closed access until 12 months after publication.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/27174
Publisher Link: http://www.economicissues.org.uk/
ISSN: 1363-7029
Appears in Collections:Closed Access (Economics)

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