The report is available here: https://t.co/mrvWz1IzIe
1/OK, data mystery time.
This New York Times feature shows China with a Gini Index of less than 30, which would make it more equal than Canada, France, or the Netherlands. https://t.co/g3Sv6DZTDE
That's weird. Income inequality in China is legendary.
Let's check this number.
The report is available here: https://t.co/mrvWz1IzIe
The graph cites the World Development Indicators as its source for the income inequality data.
Here's the Gini index: https://t.co/MvylQzpX6A
It looks as if the latest estimate for China's Gini is 42.2.
That estimate is from 2012.
I can't find the <30 number anywhere. The only other estimate in the tables for China is from 2008, when it was estimated at 42.8.
Everyone except the "Fair Progress?" report, and the New York Times feature, seems to agree that the World Bank's most recent estimate of China's Gini is 42.2.
But the GDIM doesn't have income GINIs. So that can't be where these weird numbers were from (unless the data was mislabeled).
https://t.co/vmzz57YeFf
Wow. China has higher income mobility and lower inequality than the United States https://t.co/29BHdzbAll
— Tanay Jaipuria (@tanayj) November 19, 2018
(end...for now)
The Gini number the NYT used was from the 1980s. It was not labeled as such.
Hi Noah, Thanks for reaching out. The figure you refer to shows a Great Gatsby curve that plots income mobility against inequality for parents generation, i.e. inequality in 80s. Gini for China is around 0.3 at that time, and can be found in PovCalNet & @BrankoMilan All the Ginis
— Roy Van Der Weide (@rroyji) November 19, 2018
More from Noah Smith
Imagine for a moment the most obscurantist, jargon-filled, po-mo article the politically correct academy might produce. Pure SJW nonsense. Got it? Chances are you're imagining something like the infamous "Feminist Glaciology" article from a few years back.https://t.co/NRaWNREBvR pic.twitter.com/qtSFBYY80S
— Jeffrey Sachs (@JeffreyASachs) October 13, 2018
My theory is that the jargon creates an artificial barrier to entry. https://t.co/MqLyyppdHl
If one must spend years marinating one's brain in jargon to be perceived as an expert on a topic, it protects the status and earning power of people who study relatively easy topics.
In econ, a similar thing is accomplished by what recent Nobel prize winner Paul Romer calls "mathiness": https://t.co/DBCRRc8Mir
But mathiness and jargon are not quite the same...
Jargon usually doesn't force you to change the substance of your central point.
Mathiness often does. By forcing you to write your model in a way that's mathematically tractable (easy to work with), mathiness often impoverishes your understanding of how the world really works.
has written about this problem:
One thing I've been noticing about responses to today's column is that many people still don't get how strong the forces behind regional divergence are, and how hard to reverse 1/ https://t.co/Ft2aH1NcQt
— Paul Krugman (@paulkrugman) November 20, 2018
See this thing that @lymanstoneky wrote:
And see this thing that I wrote:
And see this book that @JamesFallows wrote:
And see this other thing that I wrote:
I will be live-tweeting again, and you can also watch video at either the Twitter or Facebook links below!
Bloomberg Ideas conference now starting! I will be live-tweeting it. You can watch on our Facebook or Twitter pages (links below)! https://t.co/Mbr9dZzWBy
— Noah Smith (@Noahpinion) October 25, 2018
Kaissar: Every industry gets regulated when it gets big. The question is what kind of regulation Big Tech will get,and whether the companies will be proactive in shaping it.
Kaissar: More profitable companies have higher returns. Why? Maybe it's a risk factor, because more profit = higher risk of getting regulated.
Bershidskyis showing a diagram of GDPR complaince pop-ups. What a massive ill-conceived bureaucratic mess.
Ritholtz: It's 2018 and we're still talking about Facebook privacy settings?! If you're still giving your personal data to Facebook, you just don't care about privacy!
More from Society
You May Also Like
If everyone was holding bitcoin on the old x86 in their parents basement, we would be finding a price bottom. The problem is the risk is all pooled at a few brokerages and a network of rotten exchanges with counter party risk that makes AIG circa 2008 look like a good credit.
— Greg Wester (@gwestr) November 25, 2018
The benign product is sovereign programmable money, which is historically a niche interest of folks with a relatively clustered set of beliefs about the state, the literary merit of Snow Crash, and the utility of gold to the modern economy.
This product has narrow appeal and, accordingly, is worth about as much as everything else on a 486 sitting in someone's basement is worth.
The other product is investment scams, which have approximately the best product market fit of anything produced by humans. In no age, in no country, in no city, at no level of sophistication do people consistently say "Actually I would prefer not to get money for nothing."
This product needs the exchanges like they need oxygen, because the value of it is directly tied to having payment rails to move real currency into the ecosystem and some jurisdictional and regulatory legerdemain to stay one step ahead of the banhammer.