Taking State-Capacity Research to the Field: Insights from Collaborations with Tax Authorities

Author:

Pomeranz Dina12,Vila-Belda José13

Affiliation:

1. Department of Economics, University of Zürich, 8001 Zürich, Switzerland;,

2. Centre for Economic Policy Research, London EC1V 0DX, United Kingdom

3. Department of Economics, University of Fribourg, 1700 Fribourg, Switzerland

Abstract

No modern state can exist in the long term without effective taxation. Recent research emerging from close collaboration of academics with tax authorities has shed new light on how states can build such tax capacity. Using both randomized and natural experiments, these partnerships have not only opened access to new types of data but have also stimulated new perspectives and research questions. While much of research in public finance has historically assumed that a tax in the law is a tax that is collected, exciting new research takes an empirical look inside the black box of tax administration. It addresses issues ranging from the role of information and digitalization to taxpayer behavior or to the link between taxation and citizens’ relationship to the state. This article provides a brief overview of some of this research, as well as practical advice for those interested in implementing research in partnership with tax authorities or other large public entities.

Publisher

Annual Reviews

Subject

Economics and Econometrics

Cited by 67 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The impact of applying blockchain technology in the tax system: opportunities and challenges;Journal of Financial Reporting and Accounting;2024-09-09

2. Nudging for prompt tax penalty payment: Evidence from a field experiment in Indonesia;Journal of Economic Behavior & Organization;2024-08

3. Technology and the state: Building capacity to tax via text;Journal of Public Economics;2024-08

4. Endogenous State Capacity;Annual Review of Political Science;2024-07-29

5. Using Divide-and-Conquer to Improve Tax Collection;The Quarterly Journal of Economics;2024-06-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3