中欧和东欧财政可持续性假设检验:面板数据视角

IF 0.5 Q4 ECONOMICS
Benjamin Owusu
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引用次数: 0

摘要

摘要本文对1997年至2019年10个中东欧国家的财政可持续性假设进行了评估。该研究采用了最近的面板计量经济学技术,该技术解释了数据生成过程中的结构断裂和横截面依赖问题,以检查政府收入和支出之间的协整。初步结果表明,收入和支出不具有长期关系,因此拒绝了可持续性假设。下一步,我们区分收入和支出的结构性和周期性组成部分,以强调结构性组成部分。我们认为,财政变量的结构成分代表了政策制定者的实际长期行为。进一步的结果表明,结构性收入和支出具有长期的关系,但斜率系数小于1,这意味着较弱意义上的可持续性。到那时,支出就会超过收入,如果这种情况长期持续下去,政府可能会发现,从长远来看,很难将其债务推向市场。因此,这一结果表明,中东欧国家的财政当局必须采取更多的长期行动,以应对日益严重的财政赤字问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fiscal Sustainability Hypothesis Test in Central and Eastern Europe: A Panel Data Perspective
Abstract This paper assesses the fiscal sustainability hypothesis for 10 Central and Eastern European countries (CEEC) between 1997 and 2019. The study adopts very recent panel econometric techniques which accounts for issues of structural breaks and cross-sectional dependence in the data generating process to examine the cointegration between government revenue and expenditures. Preliminary results show that revenues and expenditures do not have a long-run relationship and hence a rejection of the sustainability hypothesis. As a next step, we discriminate between structural and cyclical components of revenues and expenditures in order to place emphasis on the structural component. We argue that the structural component of fiscal variables represents the actual long term behaviour of the policymaker. Further results indicate that structural revenues and expenditures have a long-run relationship however with a slope coefficient less than unity which implies sustainability in the weaker sense. At that point, expenditures exceed revenues and if this continues for a long time the government may find it difficult to market its debts in the long run. This result suggests that the fiscal authorities in CEEC must therefore do more by taking long term actions to counteract the rising fiscal deficit problems.
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
9
期刊介绍: The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.
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