Agent-Based Modeling of Farming Behavior: A Dutch Case Study on Milk Quota Abolishment and Sustainable Dairying
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References listed on IDEAS
- Hugo Storm & Thomas Heckelei & Ron C. Mittelhammer, 2016.
"Bayesian estimation of non-stationary Markov models combining micro and macro data,"
European Review of Agricultural Economics,
Foundation for the European Review of Agricultural Economics, vol. 43(2), pages 303-329.
- Storm, Hugo & Heckelei, Thomas, 2011. "Bayesian estimation of non-stationary Markov models combining micro and macro data," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103645, Agricultural and Applied Economics Association.
- Storm, Hugo & Heckelei, Thomas & Mittelhammer, Ron C., 2014. "Bayesian Estimation of Non-Stationary Markov Models Combining Micro and Macro Data," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 186376, European Association of Agricultural Economists.
- Storm, Hugo & Heckelei, Thomas & Mittelhammer, Ron, 2011. "Bayesian estimation of non-stationary Markov models combining micro and macro data," Discussion Papers 162894, University of Bonn, Institute for Food and Resource Economics.
- Zohra Bouamra-Mechemache & Roel Jongeneel & Vincent Réquillart, 2009. "EU Dairy Policy Reforms: Luxembourg Reform, WTO Negotiations and the Quota Regime," EuroChoices, The Agricultural Economics Society, vol. 8(SpecialIs), pages 13-22, April.
- Silke Huettel & Roel Jongeneel, 2011. "How has the EU milk quota affected patterns of herd-size change?," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 38(4), pages 497-527, October.
- Markus Lips & Peter Rieder, 2005. "Abolition of Raw Milk Quota in the European Union: A CGE Analysis at the Member Country Level," Journal of Agricultural Economics, Wiley Blackwell, vol. 56(1), pages 1-17.
- Axel Tonini & Roel Jongeneel, 2009. "The distribution of dairy farm size in Poland: a markov approach based on information theory," Applied Economics, Taylor & Francis Journals, vol. 41(1), pages 55-69.
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KeywordsInstitutional and Behavioral Economics; Research Methods/ Statistical Methods;
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