@article{Troost:211929,
      recid = {211929},
      author = {Troost, Christian and Berger, Thomas},
      title = {Process-based simulation of regional agricultural supply  functions in Southwestern Germany using farm-level and  agent-based models},
      address = {2015},
      number = {1008-2016-79874},
      pages = {32},
      year = {2015},
      abstract = {In combination with crop growth models, farm-level models  allow an in-depth,
process-based analysis of farmer  adaptation to climate change and agricultural
policy.  Evaluated for all farms in an area and extended by  interactions, farm-level
models become agent-based models  that allow simulating aggregate regional
production and  structural change. Confined to a local or regional scope,  however,
they cannot directly incorporate price feedbacks  that play out at global scale. In this
contribution, we use  experimental designs to evaluate a non-connected  agent-based
model for the full space of potential future  price developments. We discuss and
compare the use of  standard regression analysis and non-parametric,  automatic
methods (MARS and Kriging) to summarize supply  behavior over the simulated price
ranges. Estimated supply  functions constitute a surrogate model for the  original
agent-based model and could be used to iterate  detailed regional analysis with
national or global market  models in an efficient way.},
      url = {http://ageconsearch.umn.edu/record/211929},
      doi = {https://doi.org/10.22004/ag.econ.211929},
}