加强EUROMOD财富相关政策的微观模拟分析

Q3 Social Sciences
S. Kuypers, J. Boone, Johannes Derboven, F. Figari, G. Verbist
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引用次数: 1

摘要

虽然微观模拟技术已被广泛用于分析收入分配,但财富分配却并非如此。造成这种情况的一个主要原因是缺乏适当的输入数据。在欧洲,随着欧洲系统家庭金融和消费调查(HFCS)的启动,这种情况最近发生了变化。在本文中,我们解释了如何通过使用HFCS作为欧盟税收优惠微观模拟模型EUROMOD的输入数据来增强对与财富相关的税收和政策的微观模拟分析。Kuypers等人(2016)对比利时和意大利的试点数据库进行了探索。本文在这项工作的基础上,将覆盖范围扩大到17个国家,并介绍了欧洲国防部新的与财富相关的政策的模拟。我们解释了EUROMOD中用于构建输入数据和编码与财富相关的政策的过程,并强调了一些重要的优点和缺点。最后,我们提出了一些可以通过使用该增强模型来解决的研究问题。JEL分类:C18,C88,D31,H24 DOI:https://DOI。org/10。34196/ijm。00223
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing microsimulation analysis of wealth-related policies in EUROMOD
While microsimulation techniques have been widely used for the analysis of the distribution of income, this has not been the case for the distribution of wealth. A major reason for this has been the lack of appropriate input data. In Europe this has recently changed among others by the launch of the Eurosystem Household Finance and Consumption Survey (HFCS). In this paper we explain how microsimulation analysis of wealthrelated taxes and policies is enhanced by using the HFCS as input data for EUROMOD, the EUwide taxbenefit microsimulation model. Pilot databases for Belgium and Italy were explored in Kuypers et al. (2016). This paper builds further on that work by extending the coverage to 17 countries and introducing the simulation of new wealthrelated policies in EUROMOD. We explain the processes used to build the input data and to code the wealthrelated policies in EUROMOD and highlight some important advantages and drawbacks. Finally, we put forward some research questions which may be addressed by using this enhanced model. JEL classification: C18, C88, D31, H24 DOI: https:// doi. org/ 10. 34196/ ijm. 00223
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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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