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Use of positive mathematical programming invalidates the application of the NZFARM model: Response to Daigneault et al. (2014)

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  • Doole, Graeme J.
  • Marsh, Dan K.

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  • Doole, Graeme J. & Marsh, Dan K., 2014. "Use of positive mathematical programming invalidates the application of the NZFARM model: Response to Daigneault et al. (2014)," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(2), April.
    • Handle: RePEc:ags:aareaj:260091
    DOI: 10.22004/ag.econ.260091
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    References listed on IDEAS

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    1. Daigneault, Adam & Greenhalgh, Suzie & Samarasinghe, Oshadhi, 2014. "A response to Doole and Marsh (2013) article: methodological limitations in the evaluation of policies to reduce nitrate leaching from New Zealand agriculture," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(2), April.
    2. Thomas Heckelei & Wolfgang Britz, 2000. "Positive Mathematical Programming with Multiple Data Points: A Cross-Sectional Estimation Procedure," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 57, pages 27-50.
    3. Heckelei, Thomas & Britz, Wolfgang & Zhang, Yinan, 2012. "Positive Mathematical Programming Approaches – Recent Developments in Literature and Applied Modelling," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(1), pages 1-16, April.
    4. Doole, Graeme J. & Marsh, Dan K., 2014. "Methodological limitations in the evaluation of policies to reduce nitrate leaching from New Zealand agriculture," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(1), January.
    5. Graeme J. Doole & Dan K. Marsh, 2014. "Methodological limitations in the evaluation of policies to reduce nitrate leaching from New Zealand agriculture," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(1), pages 78-89, January.
    6. Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
    7. Adam Daigneault & Suzie Greenhalgh & Oshadhi Samarasinghe, 2014. "A response to Doole and Marsh ([Doole, G., 2013]) article: methodological limitations in the evaluation of policies to reduce nitrate leaching from New Zealand agriculture," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(2), pages 281-290, April.
    8. Heckelei, Thomas & Britz, Wolfgang, 2005. "Models Based on Positive Mathematical Programming: State of the Art and Further Extensions," 89th Seminar, February 2-5, 2005, Parma, Italy 234607, European Association of Agricultural Economists.
    9. Simon Anastasiadis & Marie-Laure Nauleau & Suzi Kerr & Tim Cox & Kit Rutherford, 2011. "Does Complex Hydrology Require Complex Water Quality Policy? NManager Simulations for Lake Rotorua," Working Papers 11_14, Motu Economic and Public Policy Research.
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