[Methodology of risk management for the assessment of gross domestic product (GDP) of Latvian agriculture]
2002
Arhipova, I. | Arhipovs, S. (Latvia Univ. of Agriculture, Jelgava (Latvia). Faculty of Information Technology. Dept. of Informatics)
Development of the scientific basis for the risk management of Latvian agriculture is one of the most important tasks in economic science. This should include elaboration of methodology, identification of risk factors, analysis, assessments as well as the acceptation of decision, principles of monitoring and adaptation to the conditions of Latvia. This article has examined GDP forecasting in agriculture using time series model with the polynomial trend extrapolation and Monte carlo simulation method.
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