Review on the Current Stochastic Numerical Methods for Econometric Analysis

Lewis N. K. Mambo, R. M. Mabela, Jean-Pièrre B. Bosonga, Eugène M. Mbuyi
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Abstract

The main aim of this paper is to present and emphasize the contribution of stochastic numerical methods as must tools for the modern econometric modelisation. Indeed, the stochastic numerical methods play an important role in mathematical modelling and the econometric analysis because they model uncertainties that govern the real-world data. However these powerful tools are not well-known and understood by many economists and financial econometricians.
当前计量经济学分析的随机数值方法综述
本文的主要目的是介绍和强调随机数值方法作为现代计量经济学建模的必要工具的贡献。事实上,随机数值方法在数学建模和计量经济学分析中发挥着重要作用,因为它们模拟了支配现实世界数据的不确定性。然而,这些强大的工具并没有被许多经济学家和金融计量经济学家所熟知和理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
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