- The economic impact and efficiency of state and federal taxes in Australia by Nassios, Jason, John Madden, James Giesecke, Janine Dixon, Nhi Tran, Peter Dixon, Maureen Rimmer, Philip Adams and John Freebairn Publication: Presented at the 22nd Annual Conference on Global Economic Analysis, Warsaw, Poland Resource Type: 2019 Conference Paper Keywords: Dynamic modeling, Oceania - Modeling the economic impacts of epidemics in developing countries under alternative intervention strategies by Geard, Nic, John Madden, Emma McBryde, Rob Moss and Nhi Tran Publication: Presented at the 19th Annual Conference on Global Economic Analysis, Washington DC, USA Resource Type: 2016 Conference Paper Keywords: Dynamic modeling, Health, Asia (Southeast), Oceania - Regionally targeted migration policy as an instrument for regional development: a general equilibrium assessment by Tran, Nhi, Louise Roos, James Giesecke and John Madden Publication: Presented at the 18th Annual Conference on Global Economic Analysis, Melbourne, Australia Resource Type: 2015 Conference Paper Keywords: Dynamic modeling, Migration, Oceania - Using a Highly Disaggregated Multi-regional Single-country Model to Analyse the Impacts of the 2002-03 Drought on Australia by Horridge, Mark, John Madden and Glyn Wittwer Publication: Presented at the 6th Annual Conference on Global Economic Analysis, The Hague, The Netherlands Resource Type: 2003 Conference Paper Keywords: Climate change policy - Assessing Regional Labour Market Disruption from Competition Policy Reforms: An Historical CGE Approach by Giesecke, James and John Madden Publication: Presented at the 5th Annual Conference on Global Economic Analysis, Taipei, Taiwan Resource Type: 2002 Conference Paper Keywords: Labor market issues - The Effects of Federal Inter-regional Transfers with Optimizing Regional Government by Groenewold, Nicolaas, Alfred Hagger and John Madden Publication: Presented at the 4th Annual Conference on Global Economic Analysis, Purdue University, USA Resource Type: 2001 Conference Paper
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