2007
DOI: 10.1016/s1571-0386(06)15010-3
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Chapter 10 Population Ageing and Fiscal Sustainability: Integrating Detailed Labour Supply Models with CGE Models

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Cited by 12 publications
(14 citation statements)
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“…Overall, our results paint a less worrying outlook on the fiscal implications of the demographic change. This is line with previous findings on the country level (de Blander et al, 2013;Aaberge et al, 2007).…”
Section: Resultssupporting
confidence: 94%
See 1 more Smart Citation
“…Overall, our results paint a less worrying outlook on the fiscal implications of the demographic change. This is line with previous findings on the country level (de Blander et al, 2013;Aaberge et al, 2007).…”
Section: Resultssupporting
confidence: 94%
“…The complexity of existing tax-benefit system calls for micro-based approaches rather than representative agent models. Notable exceptions are Decoster et al (2014) and de Blander et al (2013) for Belgium and Aaberge et al (2007) for Norway.…”
Section: Introductionmentioning
confidence: 97%
“…Aaberge et al (2007) is an example of the integration between a labour supply microsimulation model and a CGE model in order to assess the fiscal sustainability of the ageing population in Norway. Peichl (2009) uses the same approach to evaluate a flat tax reform in Germany.…”
Section: Macroeconomic Effectsmentioning
confidence: 99%
“…The integration of the micro and macro model relies on an iterative approach similar to Aaberge et al (2007) The estimation of consumption demand is based on the Almost Ideal Demand System proposed by Deaton and Muellbauer (1980) and extended by Banks et al (1997) with the introduction of a quadratic income term in the demand functions that fulfils the necessity of having a higher rank demand system (useful when Engel curves are non-linear). Along with the quadratic extension, we also introduce demographic heterogeneity through an income translating function, firstly introduced by Gorman (1976).…”
Section: Rsa Vs Rmi From a Work Incentive Perspectivementioning
confidence: 99%