2019
DOI: 10.35188/unu-wider/2019/650-0
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Microsimulation analysis of the impact of indirect tax benefits on income distribution and poverty alleviation in Tanzania: An application of TAZMOD

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 4 publications
(2 citation statements)
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“…They further describe VAT as 'moderately progressive', based on their calculation of the concentration coefficients of different policies (2016: 271). Maskaeva et al (2019a) use TAZMOD to explore the impact of increasing VAT and excise on alcoholic beverages and tobacco products in order to finance additional healthcare services.…”
Section: Vat In Tanzania: Reforms Performance and Issuesmentioning
confidence: 99%
“…They further describe VAT as 'moderately progressive', based on their calculation of the concentration coefficients of different policies (2016: 271). Maskaeva et al (2019a) use TAZMOD to explore the impact of increasing VAT and excise on alcoholic beverages and tobacco products in order to finance additional healthcare services.…”
Section: Vat In Tanzania: Reforms Performance and Issuesmentioning
confidence: 99%
“…The concern therefore is the progressivity of indirect taxes, which is documented to be less than that for direct taxes. In many countries, microsimulation models have been widely used to analyse redistributive aspects of tax policy reforms (e.g., Bourguignon and Spadaro 2006;Decoster et al 2011;Leahy et al 2011;Maskaeva et al 2019). Microsimulation models are desirable because they are less costly and time-consuming than field-based impact evaluation studies.…”
Section: Introductionmentioning
confidence: 99%