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References

  • Bennett, J. 1999, ‘A threshold value analysis of proposed forestry reserves’, Australian Forestry, vol. 61, pp. 18.
  • Bennett, J. and Blamey, R. 2000, The Choice Modelling Approach to Non-Market Valuation, Edward Elgar, Cheltenham.
  • Bennett, J. and Morrison, M. 2001, ‘Valuing the environmental attributes of NSW rivers’, report prepared for the New South Wales Environment Protection Authority, Environmental and Resource Economics, Gundaroo.
  • Bennett, J., Morrison, M. and Harvey, R. 2000,A river somewhere – valuing the environmental attributes of rivers’, paper presented at the International Society for Ecological Economics 2000 Conference, Australian National University, Canberra, 5–8 July.
  • Blamey, R., Bennett, J., Louviere, J., Morrison, M. and Rolfe, R. 2002, ‘Attribute causality in environmental choice modelling’, Environmental and Resource Economics, vol. 23, pp. 167186.
  • Brookshire, D.S. and Neil, H.R. 1992, ‘Benefit transfers: conceptual and empirical issues’, Water Resources Research, vol. 28, pp. 651655.
  • Desvousges, W.H., Naughton, M.C. and Parsons, G.R. 1992, ‘Benefit transfer: conceptual problems in estimating water quality benefits using existing studies’, Water Resources Research, vol. 28, pp. 675683.
  • Greene, W.H. 2002, ‘NLOGIT Version 3.0 Reference Guide’, Econometric Software Inc, New York.
  • Hahn, G.J. and Shapiro, S.S. 1966,A catalogue and computer program for the design and analysis of symmetric and asymmetric fractional factorial experiments’, report no. 66-0-165, General Electric Research and Development Centre, New York.
  • Hausman, J. and McFadden, D. 1984, ‘Specification tests for the multinomial logit model’, Econometrica, vol. 52, pp. 12191240.
  • Hausman, J.A. and Ruud, P. 1987, ‘Specifying and testing econometric models for rank-ordered data’, Journal of Econometrics, vol. 34, pp. 8310.
  • Kling, C.L. and Thomson, C.J. 1996, ‘The implications of model specification for welfare estimation in nested logit models’, American Journal of Agricultural Economics, vol. 78, pp. 103114.
  • Loomis, J.B. 1992, ‘The evolution of a more rigorous approach to benefit transfer: benefit function transfer’, Water Resources Research, vol. 28, pp. 701705.
  • Louviere, J.J., Hensher, D.A. and Swait, J.D. 2000, Stated Choice Methods – Analysis and Application, Cambridge University Press, Cambridge.
  • Mitchell, R.C. and Carson, R.T. 1989, Using Surveys to Value Public Goods: The Contingent Valuation Method, Resources for the Future, Washington DC.
  • Morrison, M. 2000, ‘Aggregation biases in stated preference studies’, Australian Economic Papers, vol. 39, pp. 215230.
  • Morrison, M.D., Bennett, J.W., Blamey, R.K. and Louviere, J.J. 2002, ‘Choice modelling and tests of benefit transfer’, American Journal of Agricultural Economics, vol. 84, pp. 161170.
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  • Morrison, M.D., Blamey, R.K. and Bennett, J.W. 2000, ‘Minimising payment vehicle bias in contingent valuation studies’, Environmental and Resource Economics, vol. 16, pp. 407422.
  • Pate, J. and Loomis, J. 1997, ‘The effect of distance on willingness to pay values: a case study of wetlands and salmon in California’, Ecological Economics, vol. 20, pp. 199207.
  • Pearmain, D., Swanson, J., Kroes, E. and Bradley, M. 1991, Stated Preference Techniques: A Guide to Practice, Steer Davies Gleave and Hague Consulting Group, Surrey and Netherlands.
  • Poe, G.L., Severance-Lossin, E.K. and Welsh, M.P. 1994, ‘Measuring the difference (X-Y) of simulated distributions: a convolutions approach’, American Journal of Agricultural Economics, vol. 76, pp. 904915.
  • Stevens, T.H., Moore, T.A. and Glass, R.J. 1994, ‘Interpretation and temporal stability of CV bids for wildlife experience: a panel study’, Land Economics, vol. 70, pp. 355363.
  • Sutherland, R.J. and Walsh, R. 1985, ‘Effect of distance on the preservation value of water quality’, Land Economics, vol. 61, pp. 281291.
  • Van Bueren, M. and Bennett, J. 2004, ‘Towards the development of a transferable set of value estimates for environmental attributes’, Australian Journal of Agricultural and Resource Economics, vol. 48, pp. 132.