Document Type
Article
Abstract
Time-series analysis using monthly data from January 2000 to December 2015 is used to investigate the relationship between transportation and real GDP, controlling for the price of diesel, the amount of money invested in infrastructure, the inflation rate, and the real effective exchange rate. Transportation is proxied with the freight Transportation Services Index. Using Granger-causality, I find that changes in transportation Granger cause changes in real GDP, but not vice versa. It is a one-directional relationship where past values of transportation lead changes in real GDP.
Publication Date
Spring 2017
Journal Title
Major Themes in Economics
Volume
19
Issue
1
First Page
17
Last Page
37
Copyright
©2017 by Major Themes in Economics
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Language
en
File Format
application/pdf
Recommended Citation
Alagic, Arijan
(2017)
"An Analysis of the Causal Relationship Between Transportation and GDP: A Time-Series Approach for the United States,"
Major Themes in Economics, 19, 17-37.
Available at:
https://scholarworks.uni.edu/mtie/vol19/iss1/4