Introduction and Overview
In: Modelling Our Future: Population Ageing, Health and Aged Care
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DOI: 10.1016/S1571-0386(06)16001-9
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Cited by:
- GENEVOIS Anne-Sophie & LIEGEOIS Philippe & PI ALPERIN Maria Noel, 2019. "DyMH_LU: a simple tool for modelling and simulating the health status of the Luxembourgish elderly in the longer run," LISER Working Paper Series 2019-06, Luxembourg Institute of Socio-Economic Research (LISER).
- Clauss, Markus & Schubert, Stefanie, 2009. "The ZEW combined microsimulation-CGE model: innovative tool for applied policy analysis," ZEW Discussion Papers 09-062, ZEW - Leibniz Centre for European Economic Research.
- Annie Abello & Sharyn Lymer & Laurie Brown & Ann Harding & Ben Phillips, 2008. "Enhancing the Australian National Health Survey Data for Use in a Microsimulation Model of Pharmaceutical Drug Usage and Cost," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(3), pages 1-2.
- Laurie Brown & Binod Nepal & Heather Booth & Sophie Pennec & Kaarin Anstey & Ann Harding, 2011. "Dynamic Modelling of Ageing and Health: The Dynopta Microsimulation Model," NATSEM Working Paper Series 11/14, University of Canberra, National Centre for Social and Economic Modelling.
- Binod Nepal & Laurie Brown & Simon Kelly & Richard Percival & Phil Anderson & Ruth Hancock & Geetha Ranmuthugala, 2011. "Projecting the Need for Formal and Informal Aged Care in Australia: A Dynamic Microsimulation Approach," NATSEM Working Paper Series 11/07, University of Canberra, National Centre for Social and Economic Modelling.
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