Laurie J. Brown

Personal Details

First Name:	Laurie
Middle Name:	J.
Last Name:	Brown
Suffix:
RePEc Short-ID:	pbr431
	[This author has chosen not to make the email address public]

Affiliation

National Centre for Social and Economic Modelling (NATSEM)
University of Canberra

Canberra, Australia
https://www.canberra.edu.au/research/centres/natsem
RePEc:edi:natseau (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

1. 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.

   Cited by:

   1. Karyn Morrissey & Graham Clarke & Paul Williamson & Antoinette Daly & Cathal O'Donoghue, 2015. "Mental Illness in Ireland: Simulating its Geographical Prevalence and the Role of Access to Services," Environment and Planning B, , vol. 42(2), pages 338-353, April.
   2. Eugenio Zucchelli & Andrew M Jones & Nigel Rice, 2012. "The evaluation of health policies through dynamic microsimulation methods," International Journal of Microsimulation, International Microsimulation Association, vol. 5(1), pages 2-20.
   3. Zucchelli, E & Jones, A.M & Rice, N, 2010. "The evaluation of health policies through microsimulation methods," Health, Econometrics and Data Group (HEDG) Working Papers 10/03, HEDG, c/o Department of Economics, University of York.
   4. Sharyn Lymer & Laurie Brown & Ann Harding & Alicia Payne, 2011. "Challenges and Solutions in Constructing a Microsimulation Model of the Use and Costs of Medical Services in Australia," International Journal of Microsimulation, International Microsimulation Association, vol. 4(3), pages 17-31.

2. Brown, Laurie & Barnett, J. Ross, 2004. "Is the corporate transformation of hospitals creating a new hybrid health care space? A case study of the impact of co-location of public and private hospitals in Australia," Social Science & Medicine, Elsevier, vol. 58(2), pages 427-444, January.

   Cited by:

   1. Cheng, Terence C. & Haisken-DeNew, John P. & Yong, Jongsay, 2015. "Cream skimming and hospital transfers in a mixed public-private system," Social Science & Medicine, Elsevier, vol. 132(C), pages 156-164.
   2. Zhengna Song & Tinggan Yan & Yunjian Ge, 2018. "Spatial Equilibrium Allocation of Urban Large Public General Hospitals Based on the Welfare Maximization Principle: A Case Study of Nanjing, China," Sustainability, MDPI, vol. 10(9), pages 1-23, August.
   3. Cheng, Terence C. & Joyce, Catherine M. & Scott, Anthony, 2013. "An empirical analysis of public and private medical practice in Australia," Health Policy, Elsevier, vol. 111(1), pages 43-51.
   4. Bowles, James & Clifford, David & Mohan, John, 2023. "The place of charity in a public health service: Inequality and persistence in charitable support for NHS trusts in england," Social Science & Medicine, Elsevier, vol. 322(C).
   5. John Rodwell, 2017. "New development: Bullying in a reforming context—a holistic, layered model of the interpersonal interaction," Public Money & Management, Taylor & Francis Journals, vol. 37(5), pages 357-362, July.

3. Ann Harding & Annie Abello & Laurie Brown & Ben Phillips, 2004. "Distributional Impact of Government Outlays on the Australian Pharmaceutical Benefits Scheme in 2001–02," The Economic Record, The Economic Society of Australia, vol. 80(s1), pages 83-96, September.

   Cited by:

   1. Linping Xiong & Xiuqiang Ma, 2007. "Forecasting China's Medical Insurance Policy for Urban Employees Using a Microsimulation Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(1), pages 1-8.
   2. 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.

4. Laurie Brown & Ann Harding, 2002. "Social Modelling and Public Policy: Application of Microsimulation Modelling in Australia," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(4), pages 1-6.

   Cited by:

   1. Linping Xiong & Xiuqiang Ma, 2007. "Forecasting China's Medical Insurance Policy for Urban Employees Using a Microsimulation Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(1), pages 1-8.
   2. Terance J. Rephann & Einar Holm, 2004. "Economic-Demographic Effects of Immigration: Results from a Dynamic Spatial Microsimulation Model," International Regional Science Review, , vol. 27(4), pages 379-410, October.
   3. Sharyn Lymer & Laurie Brown & Ann Harding & Mandy Yap, 2009. "Predicting the need for aged care services at the small area level: the CAREMOD spatial microsimulation model," International Journal of Microsimulation, International Microsimulation Association, vol. 2(2), pages 27-42.
   4. 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.
   5. Davis, Peter & Lay-Yee, Roy & Pearson, Janet, 2010. "Using micro-simulation to create a synthesised data set and test policy options: The case of health service effects under demographic ageing," Health Policy, Elsevier, vol. 97(2-3), pages 267-274, October.
   6. Templ, Matthias & Meindl, Bernhard & Kowarik, Alexander & Dupriez, Olivier, 2017. "Simulation of Synthetic Complex Data: The R Package simPop," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i10).
   7. M. Esteban Muñoz H. & Ivan Dochev & Hannes Seller & Irene Peters, 2016. "Constructing a Synthetic City for Estimating Spatially Disaggregated Heat Demand," International Journal of Microsimulation, International Microsimulation Association, vol. 9(3), pages 66-88.
   8. Mueller, Michel G. & de Haan, Peter, 2009. "How much do incentives affect car purchase? Agent-based microsimulation of consumer choice of new cars--Part I: Model structure, simulation of bounded rationality, and model validation," Energy Policy, Elsevier, vol. 37(3), pages 1072-1082, March.
   9. Rupendra N Shrestha & Deborah Schofield & Melanie J B Zeppel & Michelle M Cunich & Robert Tanton & Simon J Kelly & Lennert Veerman & Megan E Passey, 2018. "Care&WorkMOD: An Australian Microsimulation Model Projecting the Economic Impacts of Early Retirement in Informal Carers," International Journal of Microsimulation, International Microsimulation Association, vol. 11(3), pages 78-99.
   10. Oliver Mannion & Roy Lay-Yee & Wendy Wrapson & Peter Davis & Janet Pearson, 2012. "JAMSIM: a Microsimulation Modelling Policy Tool," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(1), pages 1-8.

5. Brown, Laurie J. & Barnett, J.Ross, 1992. "Influence of bed supply and health care organization on regional and local patterns of diabetes related hospitalization," Social Science & Medicine, Elsevier, vol. 35(9), pages 1157-1170, November.

   Cited by:

   1. Ross Barnett, J. & Pearce, Jamie & Howes, Pamela, 2006. "'Help, educate, encourage?': Geographical variations in the provision and utilisation of diabetes education in New Zealand," Social Science & Medicine, Elsevier, vol. 63(5), pages 1328-1343, September.
   2. de Boer, Angela G. E. M. & Wijker, Wouter & de Haes, Hanneke C. J. M., 1997. "Predictors of health care utilization in the chronically ill: a review of the literature," Health Policy, Elsevier, vol. 42(2), pages 101-115, November.

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