This paper provides novel evidence of the trade-offs policymakers face when designing simplified tax regimes for small businesses. Firstly, it provides a comprehensive stocktaking of the main features of these regimes across Sub-Saharan Africa: they are adopted by two-thirds of countries, but their design varies greatly. Secondly, it draws on administrative and survey data from Kenya to thoroughly examine a specific simplified tax regime. This analysis shows most small businesses lack knowledge about design features, such as the existence of a minimum exemption threshold, but they react strongly to increases in tax rates by lowering their declared turnover. Finally, it presents the results of an experiment testing an alternative design of a simplified tax regime that aims to better balance the trade-offs facing policymakers. This shows that providing simple guidance about how much small businesses with similar characteristics typically pay in tax can increase revenue, but this reduces equity among taxpayers.
Repository name | URI |
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Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
– OS: Windows 10 Enterprise
– Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz
– Memory available: 15.7 GB
– Software version: Stata version 18MP, R version 4.3
~20 minutes runtime
The replication of the package was conducted using confidential data directly provided by the authors. Currently, the reproducibility package contains code and partial data, but it will not execute without the data from the Kenya Revenue Authority. Additionally, there is no standard procedure to obtain this data, making it unlikely that the replicator will acquire it. Nevertheless, both the code and outputs are shared to demonstrate the process the authors followed to achieve their findings.
Some data is confidential and has not been included in the reproducibility package. For more details, please refer to the README file.
Author | Affiliation | |
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Christopher Hoy | World Bank | choy@worldbank.org |
Thiago Scot | World Bank | tscot@worldbank.org |
Alex Osugo | Kenya Revenue Authority | |
Anna Custers | World Bank | |
Daniel Zalo | Kenya Revenue Authority | |
Ruggero Doino | World Bank | rdoino@worldbank.org |
Jonathan Karver | World Bank | jkarver@worldbank.org |
Nicolas Orgeira Pillai | World Bank |
2024-08
Location | Code |
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Kenya | KEN |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
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Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
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Ruggero Doino | World Bank | rdoino@worldbank.org |
Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
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Reproducibility WBG | DIME | World Bank - Development Impact Department | Verification and preparation of metadata |
2024-08-06
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