The State Capacity Ceiling on Tax Rates: Evidence From Randomized Tax Abatements in the DRC

IF 6.6 1区 经济学 Q1 ECONOMICS Econometrica Pub Date : 2024-07-30 DOI:10.3982/ECTA19959
Augustin Bergeron, Gabriel Tourek, Jonathan L. Weigel
{"title":"The State Capacity Ceiling on Tax Rates: Evidence From Randomized Tax Abatements in the DRC","authors":"Augustin Bergeron,&nbsp;Gabriel Tourek,&nbsp;Jonathan L. Weigel","doi":"10.3982/ECTA19959","DOIUrl":null,"url":null,"abstract":"<div>\n <p>This paper investigates how tax rates and tax enforcement jointly impact fiscal capacity in low-income countries. We study a policy experiment in the D.R. Congo that randomly assigned 38,028 property owners to the status quo tax rate or to a rate reduction. This variation in tax liabilities reveals that the status quo rate lies <i>above</i> the revenue-maximizing tax rate (RMTR). Reducing rates by about one-third would maximize government revenue by increasing tax compliance. We then exploit two sources of variation in enforcement—randomized enforcement letters and random assignment of tax collectors—to show that the RMTR increases with enforcement. Including an enforcement message on tax letters or replacing tax collectors in the bottom quartile of enforcement capacity with average collectors would raise the RMTR by about 40%. Tax rates and enforcement are thus complementary levers. Jointly optimizing tax rates and enforcement would lead to 10% higher revenue gains than optimizing them independently. These findings provide experimental evidence that low government enforcement capacity sets a binding ceiling on the revenue-maximizing tax rate in some developing countries, thereby demonstrating the value of increasing tax rates in tandem with enforcement to expand fiscal capacity.</p>\n </div>","PeriodicalId":50556,"journal":{"name":"Econometrica","volume":"92 4","pages":"1163-1193"},"PeriodicalIF":6.6000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.3982/ECTA19959","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Econometrica","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.3982/ECTA19959","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

This paper investigates how tax rates and tax enforcement jointly impact fiscal capacity in low-income countries. We study a policy experiment in the D.R. Congo that randomly assigned 38,028 property owners to the status quo tax rate or to a rate reduction. This variation in tax liabilities reveals that the status quo rate lies above the revenue-maximizing tax rate (RMTR). Reducing rates by about one-third would maximize government revenue by increasing tax compliance. We then exploit two sources of variation in enforcement—randomized enforcement letters and random assignment of tax collectors—to show that the RMTR increases with enforcement. Including an enforcement message on tax letters or replacing tax collectors in the bottom quartile of enforcement capacity with average collectors would raise the RMTR by about 40%. Tax rates and enforcement are thus complementary levers. Jointly optimizing tax rates and enforcement would lead to 10% higher revenue gains than optimizing them independently. These findings provide experimental evidence that low government enforcement capacity sets a binding ceiling on the revenue-maximizing tax rate in some developing countries, thereby demonstrating the value of increasing tax rates in tandem with enforcement to expand fiscal capacity.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
税率的国家能力上限:刚果民主共和国随机减税的证据
本文研究了税率和税收执行如何共同影响低收入国家的财政能力。我们研究了刚果(金)的一项政策实验,该实验将 38,028 名财产所有人随机分配给维持现状税率或降低税率。税负的这种变化表明,现状税率高于收入最大化税率(RMTR)。降低约三分之一的税率将通过提高纳税遵从度使政府收入最大化。然后,我们利用执法过程中的两个变化来源--随机执法函和随机分配征税人员--来证明 RMTR 会随着执法的加强而增加。在税收信函中加入执法信息,或用普通征税人取代执法能力最低的四分之一征税人,都会将 RMTR 提高约 40%。因此,税率和执法是相辅相成的杠杆。联合优化税率和执法会比单独优化高出 10%的税收收益。这些研究结果提供了实验证据,表明在一些发展中国家,政府执法能力低对收入最大化税率设置了一个具有约束力的上限,从而证明了在提高税率的同时加强执法以扩大财政能力的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Econometrica
Econometrica 社会科学-数学跨学科应用
CiteScore
11.00
自引率
3.30%
发文量
75
审稿时长
6-12 weeks
期刊介绍: Econometrica publishes original articles in all branches of economics - theoretical and empirical, abstract and applied, providing wide-ranging coverage across the subject area. It promotes studies that aim at the unification of the theoretical-quantitative and the empirical-quantitative approach to economic problems and that are penetrated by constructive and rigorous thinking. It explores a unique range of topics each year - from the frontier of theoretical developments in many new and important areas, to research on current and applied economic problems, to methodologically innovative, theoretical and applied studies in econometrics. Econometrica maintains a long tradition that submitted articles are refereed carefully and that detailed and thoughtful referee reports are provided to the author as an aid to scientific research, thus ensuring the high calibre of papers found in Econometrica. An international board of editors, together with the referees it has selected, has succeeded in substantially reducing editorial turnaround time, thereby encouraging submissions of the highest quality. We strongly encourage recent Ph. D. graduates to submit their work to Econometrica. Our policy is to take into account the fact that recent graduates are less experienced in the process of writing and submitting papers.
期刊最新文献
Frontmatter of Econometrica Vol. 92 Iss. 6 The Impacts of Managerial Autonomy on Firm Outcomes Matching and Agglomeration: Theory and Evidence From Japanese Firm-to-Firm Trade Privacy-Preserving Signals Stationary Social Learning in a Changing Environment
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1