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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. Justin Sandefur‏ @JustinSandefur 6 Apr 2018
      • Report Tweet

      Justin Sandefur Retweeted Maya Forstater

      Trunk differences don't bother me -- we know surveys miss top incomes -- but the discrepancy between the 50th and 75th percentiles is still staggering, and depressing re our knowledge of global income distribution.https://twitter.com/MForstater/status/982192529691983873 …

      Justin Sandefur added,

      Maya Forstater @MForstater
      They compare elephant and Loch Ness monster charts (from @wid_inequality ) https://www.cgdev.org/blog/chart-week-1-elephant-graph-flattening-out … - they note that Nessie captures income before taxes & transfers, & excludes informal sector not in national accounts. Nelly is consumption (but surveys bad at capturing top 1%) pic.twitter.com/qHDYbQPltH
      Show this thread
      1 reply 6 retweets 8 likes
      Maya Forstater‏ @MForstater 6 Apr 2018
      • Report Tweet
      Replying to @JustinSandefur

      Yes. I want to know how much of the difference is e.g. informal sector not in national accounts and how much is the result of assumptions like this? Given that surveys are better at the middle than the tails should we be more confident in Nellie than Nessie in the middle?pic.twitter.com/oRW69BCbPU

      7:25 AM - 6 Apr 2018
      • 1 Like
      • Justin Sandefur
      1 reply 0 retweets 1 like
        1. New conversation
        2. Justin Sandefur‏ @JustinSandefur 6 Apr 2018
          • Report Tweet
          Replying to @MForstater

          I had not thought of that last point — seems like reasonable speculation to me. But yes, good questions.

          1 reply 0 retweets 0 likes
        3. Brina Seidel‏ @BrinaSeidel 6 Apr 2018
          • Report Tweet
          Replying to @JustinSandefur @MForstater

          This is something we thought about a lot and couldn’t come to any firm conclusions on. In part, that’s because WID by necessity aggregates up to the region level very early on when putting together a global distribution, making it hard to see where countries end up.

          1 reply 0 retweets 1 like
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