估计2019冠状病毒病大流行对分配的影响以及印度尼西亚的补救税收和福利政策

Q3 Social Sciences
G. Wright, M. Noble, H. Barnes, A. Moechtar, D. McLennan, A. Yusuf, K. Gasior, R. Muyanto
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引用次数: 3

摘要

2020年,印度尼西亚政府迅速采取行动,保护人民免受2019冠状病毒病大流行和相关封锁措施的财务影响。我们使用印度尼西亚的静态税收和微观模拟模型,调整数据集以反映整个2020年的经济冲击,探讨疫情如何影响印度尼西亚人民的收入,已经纳入税收和福利制度的自动稳定器在多大程度上缓冲了经济冲击,以及扩大或新的福利政策如何进一步缓冲冲击。我们估计,到2020年,额外的政策意味着贫困率将从6.8%上升到最高的8.3%,而不是如果没有引入这些政策,贫困率将上升到10.7%。我们讨论了官方对2020年的贫困估计高于本研究得出的估计的原因。©2021,Wright等人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating the Distributional Impacts of the COVID-19 Pandemic and the Remedial Tax and Benefit Policies in Indonesia
The Government of Indonesia acted quickly to protect people from the financial impact of the COVID-19 pandemic and associated lockdown measures in 2020. Using a static tax and microsimulation model for Indonesia with adjusted datasets to reflect the economic shock throughout 2020, we explore how the pandemic affected people’s earnings in Indonesia, the extent to which the automatic stabilisers that were already built into the tax and benefit system cushioned the economic shock, and how the augmented or new benefit policies served to further cushion the shock. We estimate that in 2020 the additional policies meant that poverty rose from 6.8 percent to a maximum of 8.3 percent rather than to 10.7 percent if they had not been introduced. We discuss reasons why the official poverty estimates for 2020 are higher than those generated in this study. © 2021, Wright et al.
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来源期刊
International Journal of Microsimulation
International Journal of Microsimulation Mathematics-Modeling and Simulation
CiteScore
0.80
自引率
0.00%
发文量
0
期刊介绍: The IJM covers research in all aspects of microsimulation modelling. It publishes high quality contributions making use of microsimulation models to address specific research questions in all scientific areas, as well as methodological and technical issues. IJM concern: the description, validation, benchmarking and replication of microsimulation models; results coming from microsimulation models, in particular policy evaluation and counterfactual analysis; technical or methodological aspect of microsimulation modelling; reviews of models and results, as well as of technical or methodological issues.
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