Kyle McNabb
@kylemcnabb
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Joined April 2009
For countries that collect tax and non tax revenue from extractive resources, I explore to what extent can their *non-resource* revenues cover the day-to-day spending of government. (3/4).
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The motivation for the study comes from the idea that for a country to be considered 'dependent' on revenue from extractives, it must, naturally, require these revenues to fund something or other. (2/4).
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👇New (open access) journal article.👇 . Fiscal dependence on extractive revenues. What's it about?. We've all heard about resource / extractive dependence. In this paper I take a more detailed look at the *fiscal* element of dependence. (1/4).
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Great thread ⬇️.
NEW: we need to talk about UK graduate wages, and the idea that Britain sends too many people to university. American readers should stick around for the UK/US comparisons 👀. Let’s start with this: the UK graduate wage premium has fallen substantially over the last 25 years
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A great couple of days hearing about the latest developments in #taxexpenditures and the introduction of the #GTETI @CEPweb @IDOS_research
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RT @ODI_Global: We are delighted to receive renewed funding from @FCDOGovUK for #TaxDev which – alongside @TheIFS – will help us to strengt….
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👌🏻.
This is unfortunately quite true. From any rational, decision-theoretic standpoint, the Economics profession under-invests in imperfectly identified analyses of big/important/relevant questions relative to well-identified but comparatively uninteresting questions.
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RT @LauraAbramovsky: 🗓️ On 29 June, join me at @ODI_Global w/ @FraBastagli @kylemcnabb and insightful & expert panellists to discuss the ro….
odi.org
This event presents the findings of ODI’s recent work on the role of tax and transfers in addressing income inequality across countries with different income levels.
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Version 0.2 of the #TaxDev Employment Income Taxes Dataset is online! . We've updated to include data on Personal Income Tax & social contribution systems in an additional 33 countries, from the Latin America and Caribbean region. @ODI_Global @TheIFS .
odi.org
Version 2.0 of the EITD, released in June 2023, now contains data for a total of 87 countries, due to the inclusion of an additional 33 countries from Latin America and the Caribbean. The intention...
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👏🏻.
What’s wrong with international development agencies in Ukraine? . My list of top fundamental errors that are committed to . 1. Obsession with control 1/.
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Better data on earnings distributions (both formal and informal) in LMICs will go a long way to helping unpack these puzzles. Check out the dataset for African countries here : . . Latin America & Caribbean coming soon (!). (The end).
odi.org
Version 2.0 of the EITD, released in June 2023, now contains data for a total of 87 countries, due to the inclusion of an additional 33 countries from Latin America and the Caribbean. The intention...
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Anyway, super happy to have this paper out. There's still so much we don't know about how PIT design & reform affects incentives, formalisation, wages, inequality outcomes etc. in LMICs. And there's still so much that we don't measure well: (7/n).
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And on those reforms. ? PIT thresholds and schedules on the African continent are revised infrequently - on average just once every 5.5 years during out sample, but this ranges from 0/25 yrs (Comoros) to 24/25 yrs (South Africa) (6/n)
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The pattern depicted is repeated time and again across the sample. We find that (i) magnitude of top PIT rates and (ii) the point in the distribution where that rate kicks in seem to matter most for affecting the redistribution potential. (5/n).
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actually lessened its redistributive capacity. Example here from Cameroon: A major reform to PIT schedule in 2003 saw the potential of the PIT to reduce inequality as measured by Gini fall from about 7 Gini points to just 4. This is not an isolated case: (4/n)
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There's significant potential for the PIT to affect inequality outcomes and support redistributive outcomes! But we also focus on reform to PIT and this is where things get interesting - the vast majority of reforms to PIT in Africa since the 1990s have (3/n).
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Alongside data on pre-tax income distributions from the @WIL_inequality WID, we use the rich data from EITD to study the effects on inequality (Gini & Palma) of applying the PIT in every African country 1995-2020. Main findings? (2/n).
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