Impact Analysis of CAP Reform on the Main Agricultural Commodities. Report IV. AGMEMOD - GSE Interface Manual

This report is based on a study carried out by the AGMEMOD Partnership under the management of the Agricultural Economics Research Institute (LEI, in the Netherlands), in cooperation with the Joint Research Centre - Institute for Prospective Technological Studies (JRC-IPTS) to generate projections for the main agricultural commodity markets for each year from 2005 until 2015. The report gives an overview of the GSE interface and how GSE is applied with the AGMEMOD model, directly addressing the needs of model-builders and users in an application-oriented and practical way. Detailed documentation on the AGMEMOD modelling approach, along with the outcome of the study, is published in five reports in the JRC-IPTS technical paper series under the heading "Impact analysis of Common Agricultural Policy reform on the main agricultural commodities".JRC.J.5-Agriculture and Life Sciences in the Econom

Potentials of a Harmonised Database for Agricultural Market Modelling

The study analysed existing databases for agricultural market data on errors and discrepancies and to elaborate the possibilities to harmonise datasets for policy modelling. The study supports DG AGRI in improving quality and timely availability of data for market modelling and ensuring that data from different sources are consistent. This study aims to provide a structure for a consolidated database for policy modelling which does not alter existing databases. Within this report, existing databases are analysed to derive key insights for setting-up a harmonised metabase. As available databases comprise statistical databases as well as scientific model databases, both groups are studied. For the purpose of this study, statistical databases are defined as providers of the information that international institutes receive from their reporters, while the reporters are required to provide harmonised, complete, consistent, and where possible, timely data series for establishing models or other quantitative methods. Nevertheless, a statistical database can also serve as a model database, such as e.g. PS&D. Statistical databases from international institutions (FAO, USDA, Eurostat), as well as model databases (AGLINK/COSIMO, AGMEMOD, CAPRI/CAPSIM, ESIM, FAPRI, GTAP, FARM, IMPACT), were studied to find ways of consolidating data and providing insights that allow for a better comparison of model results. For this reason, various classification schemes used in agricultural statistics were reviewed (country, product, balance item, year, unit), as was the manner in which the different modelling groups have dealt with these classifications in their databases. Besides a common classification, a harmonised database for market modelling purposes will require further efforts to be applied to a consolidation effort for the original data. Such a procedure must be supplemented by methods dealing with completion and balancing.JRC.J.5-Agriculture and Life Sciences in the Econom

MICROWAVE: A GENERIC FRAMEWORK FOR MICRO SIMULATIONBASED EX ANTE POLICY EVALUATION

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.Research Methods/ Statistical Methods,

How to deal with the challenges of linking a large number of individual national models: the case of the AGMEMOD Partnership

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 is paid to technical devices and tools as well as to the design of institutional settings to achieve consistency.linking models, policy analysis, partial equilibrium modelling, Common Agricultural Policy (CAP), Agricultural and Food Policy, Research Methods/ Statistical Methods,

The ease of including graphics in T

In this paper we will show how 4 T E X can be used to incorporate graphics in T E X documents

Integration of small area estimation and mapping techniques; Tool for Regional Studies

Research projects are increasingly aimed at specific regions. A tool for statistics for regional studies was developed to combine all available information from the agricultural census and the Farm Accountancy Data Network. In this report a description is given of the development of methods and tools to display small area estimates in maps

MicroWave: a Generic Framework for Micro Simulation Based ex ante Policy Evaluation

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