Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/12953
Title: Estimating a Bilateral J-curve between the UK and the Euro Area
Authors: Michail, Nektarios A. 
Major Field of Science: Social Sciences
Field Category: Economics and Business
Keywords: UK;Pound;Euro;Marshall–Lerner;J-Curve
Issue Date: Dec-2018
Source: Manchester School, 2018, vol. 86, no. 6, pp. 757-769
Volume: 86
Issue: 6
Start page: 757
End page: 769
Journal: The Manchester School 
Abstract: Following the United Kingdom's decision to leave the European Union, the pound has depreciated against the euro. This study aims to examine whether the UK could potentially benefit from this depreciation, that is, improve its trade balance with its euro area counterparts. Theory suggests that this could happen only if the Marshall–Lerner condition holds, i.e. if the sum of import and export elasticities is greater than unity. Due to the fact that the Marshall–Lerner condition is static, a more dynamic estimate, the J-curve, which allows for a distinction between the short-run and the long-run response of the trade balance, is employed using bilateral trade data between the UK and 10-euro area countries. Results, employing both bilateral ARDL and Pooled Mean Group methods show that, until a new trade agreement is reached, the UK trade balance vis-à-vis the euro area is not expected to change significantly in the short-run, while it should improve in the long-run. The wide range of bilateral findings underlies the idiosyncrasies between euro area countries and also suggests that there is a rationale for countries to explore different paths such as bilateral agreements with the UK.
ISSN: 14679957
DOI: 10.1111/manc.12209
Rights: © The University of Manchester and John Wiley & Sons Ltd
Type: Article
Affiliation : Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

CORE Recommender
Show full item record

SCOPUSTM   
Citations

4
checked on Nov 6, 2023

WEB OF SCIENCETM
Citations 50

4
Last Week
0
Last month
0
checked on Oct 29, 2023

Page view(s) 50

328
Last Week
1
Last month
3
checked on Dec 22, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.