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Registros recuperados: 5
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OPTIMAL ECONOMIC LENGTH OF LEYS: A DYNAMIC PROGRAMMING APPROACH AgEcon
Hegrenes, Agnar; Kristensen, Anders Ringgaard; Lien, Gudbrand D..
A model is presented to investigate the optimal economic life cycle of grass leys with winter damage problems in northern Norway and to determine the threshold of winter damage before it is profitable to re-seed. A two-level hierarchic Markov process has been constructed using the MLHMP software. The model takes uncertainty concerning yield potential, damage estimation and weather dependent random fluctuations into account. A Kalman filter technique is used for updating of knowledge on yield potential and damage level. The application of the model is demonstrated using data from two commercial Norwegian farms. Since parameter estimates vary considerably among farms, it is concluded that decision support concerning optimal economic life cycle of grass leys...
Tipo: Conference Paper or Presentation Palavras-chave: Resource /Energy Economics and Policy.
Ano: 2003 URL: http://purl.umn.edu/25848
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From Farmers to Farm Firms - Some Recent Changes in Norwegian Politics and Implications for Agricultural Statistics AgEcon
Hegrenes, Agnar; Bye, Anne Snellingen.
This paper was inspired by some changes in the criteria for being entitled to subsidies in Norwegian agriculture, and the changes this induced in agricultural statistics. Although the paper is concerned with Norway only, the Norwegian experiences might be of interest to a broader audience. It illustrates some of the challenges which can occur when statistics is based on register data, and the register owner make changes in the criteria and thus in the information gathered.
Tipo: Conference Paper or Presentation Palavras-chave: Agricultural statistics; Agricultural units; Norway; Organisational forms; Register data; Agricultural and Food Policy.
Ano: 2005 URL: http://purl.umn.edu/24443
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Optimal Length of Leys in an Area with Winter Damage Problems – Optimal Economic Lengths of Leys AgEcon
Hegrenes, Agnar; Lien, Gudbrand D.; Hardaker, J. Brian.
The optimal economic life cycle of grass leys with winter damage problems in northern Norway and the threshold of winter damage before it is profitable to re-seed grasses are investigated. The loss in profit of a sub-optimal strategy compared to an optimal strategy is briefly discussed. An infinite horizon stochastic dynamic programming model including a normally distributed yield process with possibilities for discrete downward jumps is developed. The jump process reflects the sudden drop in production after winter damage. Normally the yield of ley increases the first few years after a year with downward jump, and this dynamic is included in the model. The transition probabilities used in the model are estimated with Monte Carlo simulation. Our result...
Tipo: Conference Paper or Presentation Palavras-chave: Farm Management.
Ano: 2002 URL: http://purl.umn.edu/6945
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Norwegian Data on Agricultural and Household Income AgEcon
Hegrenes, Agnar.
Tipo: Conference Paper or Presentation Palavras-chave: Consumer/Household Economics.
Ano: 2002 URL: http://purl.umn.edu/15722
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Risk programming and sparse data: how to get more reliable results AgEcon
Hardaker, J. Brian; Lien, Gudbrand D.; Van Asseldonk, Marcel A.P.M.; Richardson, James W.; Hegrenes, Agnar.
Because relevant historical data for farms are inevitably sparse, most risk programming studies rely on few observations. We discuss how to use available information to derive an appropriate multivariate distribution function that can be sampled for a more complete representation of the possible risks in riskbased models. For the particular example of a Norwegian mixed livestock and crop farm, the solution is shown to be unstable with few states, although the cost of picking a sub-optimal plan declines with increases in number of states by Latin Hypercube sampling.
Tipo: Conference Paper or Presentation Palavras-chave: Risk programming; States of nature; Sparse data; Risk and Uncertainty.
Ano: 2008 URL: http://purl.umn.edu/44051
Registros recuperados: 5
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