Forecasting, impact analysis and uncertainty propagation in regional integrated models: A case study of Australia
Ashkan Masouman and
Charles Harvie
Environment and Planning B, 2020, vol. 47, issue 1, 65-83
Abstract:
The integration of input–output and econometric models at regional level has gained popularity for its superior performance in forecasting employment and examining the impacts of policies. There are a number of approaches to integrate the two models. This paper examines the integration of input–output with econometric modelling using two merging methodologies, namely coupling and holistic embedding. Each methodology is analysed with respect to the accuracy of its results of total and sectoral employment forecasting. Both methodologies are applied to a regional economy in Australia. The methodology which shows superior forecasting accuracy is applied to examine the significance of sectors that generate the highest number of employments relative to other sectors.
Keywords: Applied econometrics; input–output analysis; regional econometric modelling; regional economics (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/2399808318767128 (text/html)
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:sae:envirb:v:47:y:2020:i:1:p:65-83
DOI: 10.1177/2399808318767128
Access Statistics for this article
More articles in Environment and Planning B
Bibliographic data for series maintained by SAGE Publications ().