VoxDev Development Economics

S7 Ep47: No Taxation without Administration

VoxDev Development Economics

Show Notes

Research on how to collect more tax in developing countries has focused on how information, especially administrative data, can help. But in Uganda for example, buyers and sellers report different amounts for the same VAT transaction in 79% of cases. The invoices exist ... but nobody in the tax administration is comparing them. In this week's VoxDev Talk Anders Jensen (Harvard Kennedy School) and Jonathan Weigel (UC Berkeley) argue that information needs an administration that is able to use it. They have examined the research evidence on how tax authorities are organised, who they hire, where they send their staff, and how much freedom those officials get. To maximise revenues they find that many of Max Weber's century-old rules for how to run a bureaucracy still apply, but others often need to bend a little. The research behind this episode: Jensen, Anders, and Jonathan L. Weigel. 2026. "No Taxation without Administration: Bringing the State Back into the Public Finance of Developing Countries." Journal of Economic Literature 64 (1): 246-280. The working paper version is available as NBER Working Paper 34729. To cite this episode: Phillips, Tim, Jonathan Weigel, and Anders Jensen. 2026. "No Taxation without Administration." VoxDev Talks (podcast).

About the guests

Anders Jensen is Associate Professor of Public Policy at Harvard Kennedy School, a Faculty Research Fellow at the National Bureau of Economic Research, and research co-director of the State programme at the International Growth Centre. His research spans the rise of modern tax systems, informality and consumption taxes, and how governments with limited capacity can improve tax administration and enforcement. He works with governments in Ghana, Zambia, Liberia and Brazil. Jonathan Weigel is Assistant Professor of Business and Public Policy at the Haas School of Business, University of California, Berkeley, and a Faculty Research Fellow at the National Bureau of Economic Research. His research spans state capacity, taxation, corruption, and the links between religion and institutions. His fieldwork is based mainly in the Democratic Republic of Congo, where he runs the research organisation ODEKA. Research cited in this episode

No taxation without information. Dina Pomeranz's study of Chile's value-added tax showed how the paper trail between firms helps to enforce the tax; each firm has a reason to demand an invoice from its supplier, and the tax authority can use those invoices to detect evasion. Pomeranz, Dina. 2015. "No Taxation without Information: Deterrence and Self-Enforcement in the Value Added Tax." American Economic Review 105 (8): 2539-2569. Third-party reporting in Denmark. Henrik Kleven and co-authors ran a randomised tax audit experiment in Denmark. Evasion was close to zero on income that employers and banks report to the tax authority, and substantial on income that taxpayers report themselves. Kleven, Henrik Jacobsen, Martin B. Knudsen, Claus Thustrup Kreiner, Soren Pedersen, and Emmanuel Saez. 2011. "Unwilling or Unable to Cheat? Evidence from a Tax Audit Experiment in Denmark." Econometrica 79 (3): 651-692. Missing transactions in Uganda. The 79% figure comes from VAT reports in Uganda, where sellers and buyers declare different amounts for the same transactions. The gap suggests that the tax authority does not systematically cross-check the reports, or that firms act as if it does not. Almunia, Miguel, Jonas Hjort, Justine Knebelmann, and Lin Tian. 2024. "Strategic or Confused Firms? Evidence from 'Missing' Transactions in Uganda." Review of Economics and Statistics 106 (1): 256-265. The US tax gap. Even a high-capacity administration struggles without third-party data. For tax years 2014 to 2016, the Internal Revenue Service estimated that 55% of income subject to little or no information reporting, such as sole proprietor income, was misreported, compared with 1% of wages and salaries. Internal Revenue Service. 2022. Tax Gap Estimates for Ta

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