2017
DOI: 10.35188/unu-wider/2017/410-0
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Toward closer cohesion of international tax statistics: The ICTD/UNU-WIDER GRD 2017

Abstract: The Government Revenue Dataset (GRD) was launched in September 2014 and, in the few years since, has gone on to be recognized as the go-to source for researchers and policymakers seeking cross-country data on government revenues and taxes. However, as with any such project, successive rounds of updates have led to new challenges. This paper describes in depth some of the changes compared to older versions of the GRD, which are the result of learning during the update process, user feedback and changes to the u… Show more

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Cited by 17 publications
(17 citation statements)
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“…Turning to the output efficiency scores, we find that the average scores of our baseline model equaled 1.169, 6.396 and 1.461 for 2003-2007, 2008-2012and 2013-2017 Model 1, the average scores equaled 1.102 in 2003-2007, 1.161 in 2008-2012 and 1.159 in 2013-2017, which means that with the same level of inputs, output could increase by around 9%, 14%…”
Section: Dea Efficiency Scoresmentioning
confidence: 78%
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“…Turning to the output efficiency scores, we find that the average scores of our baseline model equaled 1.169, 6.396 and 1.461 for 2003-2007, 2008-2012and 2013-2017 Model 1, the average scores equaled 1.102 in 2003-2007, 1.161 in 2008-2012 and 1.159 in 2013-2017, which means that with the same level of inputs, output could increase by around 9%, 14%…”
Section: Dea Efficiency Scoresmentioning
confidence: 78%
“…Overall, the countries located in the production possibility frontier, hence the more efficient ones in terms of government spending, are: Australia (2008( -2012( ), Ireland (2013( -2017, South Korea (three periods), Latvia (2007) and Mexico (three periods). Ireland is efficient by default.…”
Section: Dea Efficiency Scoresmentioning
confidence: 99%
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“…Data on tax revenues (total and those from corporate income tax) we take from the ICTD/UNU-WIDER Government Revenue Dataset (GRD) 2019. For full details see Prichard, Cobham &Goodall (2014), andMcNabb (2017). Data on GDP in US dollars we take from the IMF's World Economic Outlook database.…”
Section: Datamentioning
confidence: 99%
“…The GRD was launched in 2014 and combines government revenue data from various sources, including OECD Revenue Statistics, IMF Government Finance Statistics, and CEPALSTAT (revenue statistics in Latin America). It is arguably the most updated and comprehensive cross-country data set on government revenues available (for more detailed information on the construction and scope of the data set, seePrichard et al 2014;McNabb 2017).…”
mentioning
confidence: 99%