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Macroeconomic Impact of Ageing Population in Scotland. A Computable General Equilibrium Analysis

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Author Info
Katerina Lisenkova ()
Peter Mcgregor ()
Nikos Pappas ()
Kim Swales ()
Karen Turner ()
Robert Wright ()

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Abstract

This paper combines a multi-period economic Computable General Equilibrium (CGE) modelling framework with a demographic model to analyse the macroeconomic impact of the projected demographic trends in Scotland. Demographic trends are defined by the existing fertility-mortality rates and the level of annual net-migration. We employ a combination of a demographic and a CGE simulation to track the impact of changes in demographic structure upon macroeconomic variables under different scenarios for annual migration. We find that positive net migration can cancel the expected negative impact upon the labour market of other demographic changes. (Pressure on wages, falling employment). However, the required size of the annual net-migration is far higher than the current trends. The policy implication suggested by the results is that active policies are needed to attract migrants. We nevertheless report results when varying fertility and mortality assumptions. The impact of varying those assumptions is rather small.

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Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa06p432.

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Date of creation: Aug 2006
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Handle: RePEc:wiw:wiwrsa:ersa06p432

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  1. Harrigan, Frank & McGregor, Peter G. & Dourmashkin, Neil & Perman, Roger & Swales, Kim & Yin, Ya Ping, 1991. "AMOS : A macro-micro model of Scotland," Economic Modelling, Elsevier, vol. 8(4), pages 424-479, October. [Downloadable!] (restricted)
  2. Greenwood, Michael J, et al, 1991. "Migration, Regional Equilibrium, and the Estimation of Compensating Differentials," American Economic Review, American Economic Association, vol. 81(5), pages 1382-90, December. [Downloadable!] (restricted)
  3. Patrick Minford & Peter Stoney & Jonathan Riley & Bruce Webb, 1994. "An Econometric Model of Merseyside: Validation and Policy Simulations," Regional Studies, Taylor and Francis Journals, vol. 28(6), pages 563-575, October. [Downloadable!] (restricted)
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