Evaluating the causal economic impacts of transport investments: evidence from the Madrid-Barcelona high speed rail corridor
File(s)CJAS-2018-0673-final.pdf (659.95 KB)
Accepted version
Author(s)
Carbo Martinez, Jose
Graham, Daniel
Anupriya, Anupriya
Casas, Daniel
Melo, Patricia
Type
Journal Article
Abstract
This paper evaluates economic impacts arising from the introduction of high-speed rail (HSR) between Madrid and Barcelona. Using difference-in-differences estimation we estimate an average treatment effect for provinces with stops on the HSR line of 2.4% for economic output, 3.3% for numbers of firms, and 1.1% for labour productivity. We complement our DID results with a synthetic control analysis for Lleida and Tarragona, two provinces that we argue were assigned HSR stations largely due to their incidental location. We find that both the number of firms and labour productivity are substantially higher in these provinces than in their synthetic counterparts.
Date Issued
2018-12-15
Date Acceptance
2018-12-02
Citation
Journal of Applied Statistics, 2018, 46 (9), pp.1714-1723
ISSN
0266-4763
Publisher
Taylor & Francis (Routledge)
Start Page
1714
End Page
1723
Journal / Book Title
Journal of Applied Statistics
Volume
46
Issue
9
Copyright Statement
© 2018 Informa UK Limited, trading as Taylor & Francis Group. This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Applied Statistics on 15 Dec 2018, available online: https://www.tandfonline.com/doi/full/10.1080/02664763.2018.1558188
Identifier
https://www.tandfonline.com/doi/full/10.1080/02664763.2018.1558188
Subjects
Science & Technology
Physical Sciences
Statistics & Probability
Mathematics
High-speed rail
economic impacts
causal inference
Statistics & Probability
0104 Statistics
Publication Status
Published
Date Publish Online
2018-12-15