Infrastructure and growth: A survey of macro-econometric research
Timo Valila
Structural Change and Economic Dynamics, 2020, vol. 53, issue C, 39-49
Abstract:
The voluminous macro-econometric research on the link between infrastructure and growth over the past decades has been inconclusive. The heterogeneity of empirical results can be attributed in part to obvious differences in measuring the variables of interest and in specifying and estimating the empirical model. However, macro-econometric analyses of the nexus between infrastructure and growth are also prone to model inaccuracy, caused by the fact that infrastructure is by its very nature a difficult object for empirical study. This paper analyses the particular theoretical and empirical characteristics of infrastructure that lead to model inaccuracy, and it assesses whether this line of empirical research is doomed to inconclusiveness.
Keywords: Infrastructure; Growth; Econometrics; Model inaccuracy (search for similar items in EconPapers)
JEL-codes: C52 H54 O47 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0954349X19303200
Full text for ScienceDirect subscribers only
Related works:
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: https://EconPapers.repec.org/RePEc:eee:streco:v:53:y:2020:i:c:p:39-49
DOI: 10.1016/j.strueco.2020.01.007
Access Statistics for this article
Structural Change and Economic Dynamics is currently edited by F. Duchin, H. Hagemann, M. Landesmann, R. Scazzieri, A. Steenge and B. Verspagen
More articles in Structural Change and Economic Dynamics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().