结合微观模拟和数值最大化确定最优税收转移规则

Q3 Social Sciences
U. Colombino, N. Islam
{"title":"结合微观模拟和数值最大化确定最优税收转移规则","authors":"U. Colombino, N. Islam","doi":"10.34196/ijm.00261","DOIUrl":null,"url":null,"abstract":"In this paper we propose a computational approach to empirical optimal taxation. We develop and estimate a microeconometric model that is run to simulate household labour supply decisions and the implied economic, fiscal and welfare effects. The microsimulation is embedded into a numerical optimization routine that identifies the tax- transfer rule that maximizes a social welfare function. We consider the class of tax- transfer rules where net available income is computed as a 4th degree polynomial transformation of taxable income plus a transfer. We present the results for six European countries: Germany, France, Italy, Luxembourg, Spain and the United Kingdom. For most values of the inequality aversion parameter k that characterizes the social welfare function, the optimized rules provide a higher social welfare than the current rule, with the exception of Luxembourg. The optimized tax- transfer rules are close to a Flat Tax plus a Universal Basic Income (or equivalently a Negative Income Tax).","PeriodicalId":37916,"journal":{"name":"International Journal of Microsimulation","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Combining Microsimulation and Numerical Maximization to Identify Optimal Tax-Transfer Rules\",\"authors\":\"U. Colombino, N. Islam\",\"doi\":\"10.34196/ijm.00261\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we propose a computational approach to empirical optimal taxation. We develop and estimate a microeconometric model that is run to simulate household labour supply decisions and the implied economic, fiscal and welfare effects. The microsimulation is embedded into a numerical optimization routine that identifies the tax- transfer rule that maximizes a social welfare function. We consider the class of tax- transfer rules where net available income is computed as a 4th degree polynomial transformation of taxable income plus a transfer. We present the results for six European countries: Germany, France, Italy, Luxembourg, Spain and the United Kingdom. For most values of the inequality aversion parameter k that characterizes the social welfare function, the optimized rules provide a higher social welfare than the current rule, with the exception of Luxembourg. The optimized tax- transfer rules are close to a Flat Tax plus a Universal Basic Income (or equivalently a Negative Income Tax).\",\"PeriodicalId\":37916,\"journal\":{\"name\":\"International Journal of Microsimulation\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Microsimulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.34196/ijm.00261\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Microsimulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34196/ijm.00261","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 1

摘要

在本文中,我们提出了一种经验最优税收的计算方法。我们开发并估计了一个微观计量模型,该模型用于模拟家庭劳动力供应决策以及隐含的经济、财政和福利影响。微观模拟被嵌入到一个数值优化例程中,该例程确定了使社会福利函数最大化的税收转移规则。我们考虑一类税收转移规则,其中净可用收入被计算为应税收入加转移的4次多项式变换。我们介绍了六个欧洲国家的结果:德国、法国、意大利、卢森堡、西班牙和英国。对于表征社会福利函数的不平等厌恶参数k的大多数值,优化规则提供了比当前规则更高的社会福利,卢森堡除外。优化后的税收转移规则接近于统一税加上普遍基本收入(或相当于负所得税)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combining Microsimulation and Numerical Maximization to Identify Optimal Tax-Transfer Rules
In this paper we propose a computational approach to empirical optimal taxation. We develop and estimate a microeconometric model that is run to simulate household labour supply decisions and the implied economic, fiscal and welfare effects. The microsimulation is embedded into a numerical optimization routine that identifies the tax- transfer rule that maximizes a social welfare function. We consider the class of tax- transfer rules where net available income is computed as a 4th degree polynomial transformation of taxable income plus a transfer. We present the results for six European countries: Germany, France, Italy, Luxembourg, Spain and the United Kingdom. For most values of the inequality aversion parameter k that characterizes the social welfare function, the optimized rules provide a higher social welfare than the current rule, with the exception of Luxembourg. The optimized tax- transfer rules are close to a Flat Tax plus a Universal Basic Income (or equivalently a Negative Income Tax).
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信