@article{Ghosh:103738,
      recid = {103738},
      author = {Ghosh, Somali and Woodard, Joshua D. and Vedenov, Dmitry  V.},
      title = {Efficient Estimation of Copula Mixture Model: An  Application to the Rating of Crop Revenue Insurance},
      address = {2011},
      number = {321-2016-11250},
      series = {Selected Paper},
      pages = {24},
      year = {2011},
      abstract = {The association between prices and yields are of paramount  importance to the crop insurance programs. Proper  estimation of the association is highly desirable. Copulas  are one such method to measure the dependence structure.   Five single parametric copulas, a non- parametric copula  and their fifteen different combinations taking a mixture  of two different copulas at a time have been used in the  crop insurance rating analysis. Using data of corn from  1973-2009 for 602 counties in the Mid-West area two  different efficient methods have been proposed to generate  the optimal mixtures using the cross validation approach. A  resampling technique is used to check for the significance  of the expected indemnities.},
      url = {http://ageconsearch.umn.edu/record/103738},
      doi = {https://doi.org/10.22004/ag.econ.103738},
}