工资领域的风险建模

S. Koval
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摘要

本文的主题是研究风险的建模和管理方法,特别是与薪酬的官方估计和实际估计的差异有关的风险。由于风险评估的方法和模型相当多,在其中选择最优的方法和模型是一个迫切需要解决的科学问题。本研究采用了综合分析、类比比较、趋势构建等科学方法。工作的结果。根据线性和指数方程,获得了比较官方和实际薪酬估计数的理论模型。研究结果可供所有有关方面使用,包括国家行政权力机构,以改进执行就业社会经济政策的机制,并在薪酬领域对乌克兰劳动力市场进行国家监管。的结论。1. 所取得的结果证实了在薪酬领域发展与风险建模和管理有关的问题的紧迫性。利用特殊的方法对风险进行分析和评估,得出了可能发生的风险事件的发展情景、发生的可能性和后果。2.Black-Shoulse-Merton模型的优点是预测精度高,计算方便,预测精度可接受,信息对劳动力市场的所有参与者都是公开的。3所示。拟议的风险模型将评估所选因素对主要风险来源的影响程度,并根据所获得的评估,更有效地选择旨在尽量减少风险的措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling of risks in the sphere of wages
The subject of article is the study of the methods of modeling and management of risks related, in particular, with the differences of official and actual estimates of remuneration. Since there is a fairly large set of methods and models of risk assessment, the choice of the most optimal among them is an urgent scientific problem. The study used general scientific and special methods: analysis and synthesis, analogies and comparison, trend construction, etc. The results of work. Theoretical models of comparison of official and actual estimates of remuneration based on linear and exponential equations were obtained. The results of the study can be used by all interested parties, including the bodies of state executive power in improving the mechanisms of implementation of socio-economic policy of employment and state regulation of the labor market of Ukraine in the sphere of remuneration. The conclusions. 1. The results obtained confirm the urgency of developing issues related to modeling and management of risks in the field of remuneration. As a result of the analysis and assessment of risks using special methods, the scenarios of development of possible risky events, the likelihood of their occurrence and consequences were obtained.  2.The advantages of Black-Shoulse-Merton models are high prediction, ease of calculations, acceptable accuracy of the forecast, as well as openness of information available to all participants in the labor market.  3. The proposed risk model will assess the degree of influence of the selected factors on the main sources of risks and, on the basis of the obtained assessment, more effectively to choose measures aimed at minimizing risks.
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