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MForstater's profile
Maya Forstater
Maya Forstater
Maya Forstater
@MForstater

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Maya Forstater

@MForstater

Business and sustainable development. Accountability. Tax. Feminist test case. Media: Tom Gardner at Slater & Gordon 0207 657 1690 press@slatergordon.co.uk

https://medium.com/@MForstater
hiyamaya.net
Joined September 2008

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    1. Maya Forstater‏ @MForstater 6 Nov 2018
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      3) They look at individual pairs of data and consider whether the mismatch is plausible -- implausibly large mismatches in volumes more likely due to reporting error than misinvoicing are down-weighted.pic.twitter.com/ghWXnuo94Y

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    2. Maya Forstater‏ @MForstater 6 Nov 2018
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      4) They break the results down by commodity and by trade partner, so you can see the story the data is telling. In Kenya, the big numbers relate to imports of worn clothing, cereals, electrical equipment, vehicles and fuel.pic.twitter.com/1qxXSLIOy4

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    3. Maya Forstater‏ @MForstater 6 Nov 2018
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      But, as they highlight, these are not the commodities with big apparent misinvoicing price gaps.pic.twitter.com/5t53kEmhTQ

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    4. Maya Forstater‏ @MForstater 6 Nov 2018
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      Similarly the countries that are the biggest contributors to the absolute numbers - China, India, Pakistan, UK do not necessarily have the biggest apparent misinvoicing gaps (apart from Pakistan)pic.twitter.com/Cj1D8azVuH

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    5. Maya Forstater‏ @MForstater 6 Nov 2018
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      5) There is a whole discussion about transport & insurance markups -- should it be 14%, 10%, 6% ? GFI use a model which takes into account different products, countries etc.. which averages at 9% for Kenya

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    6. Maya Forstater‏ @MForstater 6 Nov 2018
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      Many of the major areas of apparent misinvoicing (vehicles, electrical equipment, fuel) are underinvoiced by 1-3% ..... this seems like it could be within the range of uncertainty about transport costs

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    7. Maya Forstater‏ @MForstater 6 Nov 2018
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      Used clothing and cereals have larger misinvoicing margins. There is a nifty graphic which shows absolute and relative size of the apparent tariff losses by product and countrypic.twitter.com/AW3Yd3laZ1

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    8. Maya Forstater‏ @MForstater 6 Nov 2018
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      This seems to me like a useful risk assessment tool. These are specific red flags to follow up on. Are there innocent explanations for the patterns in the data or is there something dodgy in these specific trades? (like whats up with used clothing exports from UK to Kenya?)

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    9. Maya Forstater‏ @MForstater 6 Nov 2018
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      I'd like to see what the potential losses in different categories look like with different modelling assumptions on the transport costs -- how robust are they? But all in all a lot of improvement in the methodology.

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    10. Maya Forstater‏ @MForstater 6 Nov 2018
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      Its not quite so clear in the Nigeria case - again they focus detailed analysis on import underinvoicing (absolute numbers driven by small margins on large volumes of vehicle imports). But import underinvoicing is not the biggest category in Nigeria...what is the export story?pic.twitter.com/t2gX52TCWc

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      Maya Forstater‏ @MForstater 6 Nov 2018
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      Kudos to @GFI_Tweets for working to address the methodological issues and improve the estimates (they could publish the underlying data and calculations too!)

      4:03 AM - 6 Nov 2018
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