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Wolfert, Jacques; Lepoutre, Jan; Dol, Wietse; Van Passel, Steven; van der Veen, Hennie B.; Bouma, Foppe. |
This paper presents the MicroWave approach that has been developed to improve the process of modeling in the context of micro simulation. It leads to a more efficient model development, better quality of models and their output and improvement in knowledge management. A conceptual framework has been developed and translated into a hierarchical structure of GAMS program code. Besides, several software applications and other tools have been developed for support. These products are presented and some examples illustrate how MicroWave can be applied. MicroWave is especially useful in interdisciplinary research in which different persons are involved in the modeling process and when different models have to be combined. |
Tipo: Working or Discussion Paper |
Palavras-chave: Research Methods/ Statistical Methods. |
Ano: 2005 |
URL: http://purl.umn.edu/29143 |
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Salamon, Petra; Chantreuil, Frederic; Donnellan, Trevor; Erjavec, Emil; Esposti, Roberto; Hanrahan, Kevin F.; van Leeuwen, Myrna; Bouma, Foppe; Dol, Wietse; Salputra, Guna. |
The AGMEMOD Partnership seeks to capture the inherent existing heterogeneity of agricultural systems by linking together individual EU Member State models, an aggregated EU model and several accession countries into one single model, while still maintaining analytical consistency. Although this approach facilitates the comparison of the impact of a policy change across different Member States, it generates challenges in practical implementation, ranging from significant communication and administration requirements, to aggregation and consistency issues. This contribution provides insights into the different challenges posed to the scientists and discusses the key issues for maintenance and further development of such a complex system. Specific attention... |
Tipo: Journal Article |
Palavras-chave: Linking models; Policy analysis; Partial equilibrium modelling; Common Agricultural Policy (CAP); Agricultural and Food Policy; Research Methods/ Statistical Methods. |
Ano: 2008 |
URL: http://purl.umn.edu/97709 |
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