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Forecasting, impact analysis and uncertainty propagation in regional integrated models: A case study of Australia

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  • Ashkan Masouman
  • Charles Harvie

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.

Suggested Citation

  • Ashkan Masouman & Charles Harvie, 2020. "Forecasting, impact analysis and uncertainty propagation in regional integrated models: A case study of Australia," Environment and Planning B, , vol. 47(1), pages 65-83, January.
    • Handle: RePEc:sae:envirb:v:47:y:2020:i:1:p:65-83
    DOI: 10.1177/2399808318767128
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    1. George I. Treyz & Dan S. Rickman & Gang Shao, 1991. "The REMI Economic-Demographic Forecasting and Simulation Model," International Regional Science Review, , vol. 14(3), pages 221-253, December.
    2. Ashkan Masouman & Charles Harvie, 2017. "Measuring Economic Change in the Illawarra, New South Wales: An Integrated Framework," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 50(3), pages 294-308, July.
    3. LeSage, James P. & Magura, Michael, 1991. "Using interindustry input-output relations as a Bayesian prior in employment forecasting models," International Journal of Forecasting, Elsevier, vol. 7(2), pages 231-238, August.
    4. Ashkan Masouman & Charles Harvie, 2018. "Regional economic modelling through an embedded econometric–inter-industry framework," Regional Studies, Taylor & Francis Journals, vol. 52(9), pages 1237-1249, September.
    5. West, G R, 1982. "Sensitivity and Key Sector Analysis in Input-Output Models," Australian Economic Papers, Wiley Blackwell, vol. 21(39), pages 365-378, December.
    6. Paul M. Beaumont, 1990. "Supply and Demand Interaction in Integrated Econometric and Input-Output Models," International Regional Science Review, , vol. 13(1-2), pages 167-181, April.
    7. Mark Horridge, 2011. "The TERM model and its data base," Centre of Policy Studies/IMPACT Centre Working Papers g-219, Victoria University, Centre of Policy Studies/IMPACT Centre.
    8. L'Esperance, Wilford L. & King, Arthur E. & Sines, Richard H., 1977. "Conjoining an Ohio Input-Output Model with an Econometric Model of Ohio," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 7(1), pages 1-24.
    9. Euijune Kim & Geoffrey Hewings, 2009. "An Application Of An Integrated Transport Network - Multiregional Cge Model To The Calibration Of Synergy Effects Of Highway Investments," Economic Systems Research, Taylor & Francis Journals, vol. 21(4), pages 377-397.
    10. West, Guy R, 1991. "A Queensland Input-Output Econometric Model: An Overview," Australian Economic Papers, Wiley Blackwell, vol. 30(57), pages 221-240, December.
    11. Chris Gibson & Andrew Warren, 2016. "Resource-Sensitive Global Production Networks: Reconfigured Geographies of Timber and Acoustic Guitar Manufacturing," Economic Geography, Taylor & Francis Journals, vol. 92(4), pages 430-454, October.
    12. Michael L. Lahr & Benjamin H. Stevens, 2002. "A Study of the Role of Regionalization in the Generation of Aggregation Error in Regional Input –Output Models," Journal of Regional Science, Wiley Blackwell, vol. 42(3), pages 477-507, August.
    13. West, Guy R. & Jackson, Randall W., 1998. "Input-Output+Econometric and Econometric+Input-Output: Model Differences or Different Models?," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 28(1), pages 1-16.
    14. Dan S. Rickman, 2002. "A Bayesian forecasting approach to constructing regional input-output based employment multipliers," Papers in Regional Science, Springer;Regional Science Association International, vol. 81(4), pages 483-498.
    15. repec:rre:publsh:v:35:y:2005:i:2:p:139-60 is not listed on IDEAS
    16. Glennon, Dennis & Lane, Julia & Johnson, Stanley, 1987. "Regional econometric models that reflect labor market relations," International Journal of Forecasting, Elsevier, vol. 3(2), pages 299-312.
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