生命周期中的公共政策:法国、意大利和瑞典的大规模OLG模型

A. Bucciol, L. Cavalli, Igor Fedotenkov, P. Pertile, Veronica Polin, N. Sartor, Alessandro Sommacal
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引用次数: 3

摘要

提出了一种以家族为决策单元的异构智能体的大规模重叠生成模型。我们对三个欧洲国家——法国、意大利和瑞典——的模型进行了校准,这三个国家在某些公共项目的设计上存在显著差异。我们通过研究从我们的模型经济中移除部分或全部税收福利计划的影响,从年度和终身再分配的角度来考察这些属性。我们发现,无论一个人是考虑生命周期还是一年,以及是否考虑行为反应,对结果都有很大的影响。该模型可以为政策制定者提供有用的见解,说明哪种改革更有可能实现具体的公平目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Public Policies over the Life Cycle: A Large Scale OLG Model for France, Italy and Sweden
The paper presents a large scale overlapping generation model with heterogeneous agents, where the family is the decision unit. We calibrate the model for three European countries - France, Italy and Sweden - which show marked differences in the design of some public programs. We examine the properties in terms of annual and lifetime redistribution of a number of tax-benefit programs, by studying the impact of removing from our model economies some or all of them. We find that whether one considers a life-cycle or an annual horizon, and whether behavioral responses are accounted for or not, has a large impact on the results. The model may provide useful insights for policy makers on which kind of reforms are more likely to achieve specific equity objectives.
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