The Structure of Labor Market as an Indicator of Shadow Economy

S. Gerasymenko
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Abstract

The article is focused on analysis of factors that determine the patterns of market economy operation. Ukraine, like the other world, has witnessed more than one financial and economic crisis since it gained independence. Its manifestations are the reduced GDP, the worsened financial performance in the business sector, the shrinking real income of the population and the declining investment activity. Search for the factors provoking crises and ways to mitigate their effects has been a central subject of studies conducted by many researchers. However, their research effort has not paid adequate attention to analysis of causal links between the so called shadow economy and the parameters embedded by researchers in models of the modern economy. Methods for shadow economy assessment are author-specific, with quite distinct momentary results. Also, an analysis of shadow economy trends has been virtually lacking, which does not allow to account for its contribution in the formation of market economy patterns, although it seems to be quite significant given a large share of the shadow economy sector at national and global level. The possibility for assessment of the shadow economy in its relation with the labor market structure that can be characterized by developed robust models is substantiated. Apart from description of the current labor market performance, it also allows for its forecasting. Hence, the elaboration of measures aimed to improve the situation on the labor market enables to reduce the share of shadow economy and, considering the other factors, to halt the occurrence of economic crisis or mitigate its effects for the economy and public welfare.   The main problem that have limited so far the application of the abovementioned approach to solving the problems of economic forecasting was lack of consensus about the classification of the economic system components as either factors or results. This article is an author’s attempt to demonstrate that the structure of labor market and the share of unemployment in particular, is largely dependent on the role of shadow sector in the domestic economy. By employing models characterizing unemployment, this allows to determine the share of its variation related with the shadow economy, and to proceed with forecasting the share of shadow sector in the economy and its impact on the formation of the national economy patterns. Determining the measure and direction of this impact on a domestic economy has to be the next phase of the study.    
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劳动力市场结构作为影子经济的一个指标
本文着重分析了决定市场经济运行方式的因素。与其他国家一样,乌克兰自获得独立以来经历了不止一次的金融和经济危机。其表现为国内生产总值减少,商业部门财务业绩恶化,人口实际收入减少,投资活动减少。寻找引发危机的因素和减轻其影响的方法一直是许多研究人员进行研究的中心主题。然而,他们的研究工作并没有对所谓的影子经济与研究者在现代经济模型中嵌入的参数之间的因果关系进行足够的关注。影子经济评价方法因作者而异,瞬时结果差异较大。此外,对影子经济趋势的分析实际上一直缺乏,因此无法解释其对市场经济模式形成的贡献,尽管鉴于影子经济部门在国家和全球一级所占的很大份额,它似乎相当重要。评估影子经济与劳动力市场结构的关系的可能性,可以通过开发的稳健模型来表征。除了对当前劳动力市场表现的描述之外,它还允许对其进行预测。因此,制定旨在改善劳动力市场状况的措施,可以减少影子经济的份额,并在考虑其他因素的情况下,阻止经济危机的发生或减轻其对经济和公共福利的影响。迄今为止,限制上述方法应用于解决经济预测问题的主要问题是对经济系统组成部分作为因素或结果的分类缺乏共识。这篇文章是作者试图证明劳动力市场的结构,特别是失业的份额,在很大程度上取决于影子部门在国内经济中的作用。通过采用表征失业的模型,可以确定与影子经济相关的失业率变化份额,并进而预测影子部门在经济中的份额及其对国民经济模式形成的影响。确定这种影响对国内经济的程度和方向必须是研究的下一个阶段。
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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审稿时长
12 weeks
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