Piketty Findings Undercut by Errors

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Big questions hang over Piketty’s work - FT.com

now when I read this... it sounds a little less...sure of itself. This is the groundwork for wiggling out of their little HARD HITTING piece of journalism.

"we were only asking for clarification on his findings..."

A little google sleuthing and it sounds like they have been given their answers and the findings remain the same. As Krugman said, """Anyone imagining that the whole notion of rising wealth inequality has been refuted is almost surely going to be disappointed,"

The found some mislabeled charts and wanted to throw a party... :smh: :noah:
 

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Piketty response to FT data concerns | Money Supply

Piketty response to FT data concerns
Chris Giles | May 23 19:00 | 57 comments | http://gabriel-zucman.eu/files/SaezZucman2014Slides.pdf.

Dear Chris,

I am happy to see that FT journalists are using the excel files that I have put on line! I would very much appreciate if you could publish this response along with your piece.

Let me first say that the reason why I put all excel files on line, including all the detailed excel formulas about data constructions and adjustments, is precisely because I want to promote an open and transparent debate about these important and sensitive measurement issues (if there was anything to hide, any “fat finger problem”, why would I put everything on line?).

Let me also say that I certainly agree that available data sources on wealth are much less systematic than for income. In fact, one of the main reasons why I am in favor of wealth taxation and automatic exchange of bank information is that this would be a way to develop more financial transparency and more reliable sources of information on wealth dynamics (even if the tax was charged at very low rates, which you might agree with).

For the time being, we have to do with what we have, that is, a very diverse and heterogeneous set of data sources on wealth: historical inheritance declarations and estate tax statistics, scarce property and wealth tax data, and household surveys with self-reported data on wealth (with typically a lot of under-reporting at the top). As I make clear in the book, in the on-line appendix, and in the many technical papers I have published on this topic, one needs to make a number of adjustments to the raw data sources so as to make them more homogenous over time and across countries. I have tried in the context of this book to make the most justified choices and arbitrages about data sources and adjustments. I have no doubt that my historical data series can be improved and will be improved in the future (this is why I put everything on line). In fact, the “World Top Incomes Database” (WTID) is set to become a “World Wealth and Income Database” in the coming years, and we will put on-line updated estimates covering more countries. But I would be very surprised if any of the substantive conclusion about the long run evolution of wealth distributions was much affected by these improvements.

For instance, my US series have already been extended and improved by an important new research paper by Emmanuel Saez (Berkeley) and Gabriel Zucman (LSE). This work was done after my book was written, so unfortunately I could not use it for my book. Saez and Zucman use much more systematic data than I used in my book, especially for the recent period. Also their series are constructed using a completely different data source and methodology (namely, the capitalisation method using capital income flows and income statements by asset class). The main results are available here: http://gabriel-zucman.eu/files/SaezZucman2014Slides.pdf.

As you can see by yourself, their results confirm and reinforce my own findings: the rise in top wealth shares in the US in recent decades has been even larger than what I show in my book.

In the attached graph, I compare their series with the approximate series that I provide in the book. As you can see by yourself, the general historical profiles are very similar. This is exactly what I expect as we collect more data in other countries as well: we will certainly improve upon my series and adjustments (some of which can certainly be discussed), but I don’t think this will have much of an impact on the general findings.

(see also this paper pp. 91-92 of pdf: http://gabriel-zucman.eu/files/PikettyZucman2014HID.pdf)

Finally, let me say that my estimates on wealth concentration do not fully take into account offshore wealth, and are likely to err on the low side. I am certainly not trying to make the picture look darker than it it. As I make clear in chapter 12 of my book (see in particular table 12.1-12.2), top wealth holders have apparently been rising a lot faster average wealth in recent decades, at least according to the wealth rankings published in magazines such as Forbes. This is true not only in the US, but also in Britain and at the global level (see attached table). This is not well taken into account by wealth surveys and official statistics, including the recent statistics that were published for Britain. Of course, as I make clear in my book, wealth rankings published by magazines are far from being a perfectly reliable data source. But for the time being, this is what we have, and what we have suggests that the concentration of wealth at the top is rising pretty much everywhere. Of course, if the FT produces statistics and wealth rankings showing the opposite, I would be very interested to see these statistics, and I would be happy to change my conclusion! Please keep me posted.

Best, Thomas
 

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Wonkbook: The data controversy behind the inequality debate

1. Top story: The FT claims a lauded new book on worsening wealth inequality has serious data errors

Why the FT is wrong and Piketty is right. "This doesn't seem to be a Reinhart and Rogoff situation. Their Excel errors really did change their conclusions. Piketty's don't. Unless, like Giles, you average inequality by population instead of by country — which is debatable, at best, since Piketty is only concerned about inequality within countries. Still, it's another reminder that economics is the least exact science. That's why it's critical for researchers to make their data public, so everyone else can double and triple check it. To his credit, Piketty has done just that. Now he should tell us a little more about his methods." Matt O'Brien in The Washington Post.

U.S. wealth inequality is rising, and other things the FT analysis gets wrong. "Giles states that 'it is not possible to say anything much about the top 10 per cent share between 1870 and 1960, as the data for the US simply does not exist.' However, as Matt Bruenig points out, since Piketty's book came out there's been significant new work by Emmanuel Saez and Gabriel Zucman telling us exactly that. Check out the slides, they are awesome. Well respected work that fills in the makeshift gaps Piketty had to use to make the wealth inequality data for the United States in this period. This is a sign of a good work — subsequent work is bearing out its results." Mike Konczal in the Roosevelt Institute.


Piketty used faulty data in inequality book, Financial Times alleges. "Thomas Piketty, author of a best-selling book on the widening gap between rich and poor, relied on faulty data that skewed his conclusions, the Financial Times reported on its web site. The mistakes undercut Piketty’s argument that wealth inequalities are heading back up to levels last seen before World War I, wrote Chris Giles, the FT’s economics editor....After correcting for these apparent errors, two of the book’s 'central findings — that wealth inequality has begun to rise over the past 30 years and that the U.S. obviously has a more unequal distribution of wealth than Europe — no longer seem to hold,' according to Giles." Rich Miller in Bloomberg.

Primary sources:

The full Financial Times investigation. Chris Giles in The Financial Times (paywalled).

The full text of Piketty's response. The Financial Times (paywalled).

Explainer: The types of alleged errors, and what they mean. Neil Irwin in The New York Times.

A Reinhart-Rogoff-like moment for Piketty? "Thomas Piketty’s book, 'Capital in the Twenty-First Century', has been the publishing sensation of the year. Its thesis of rising inequality tapped into the zeitgeist and electrified the post-financial crisis public policy debate. But according to a Financial Times investigation, the rock-star French economist appears to have got his sums wrong. The data underpinning Professor Piketty’s 577-page tome, which has dominated best-seller lists in recent weeks, contain a series of errors that skew his findings. The FT found mistakes and unexplained entries in his spreadsheets, similar to those that last year undermined the work on public debt and growth of Carmen Reinhart and Kenneth Rogoff." Chris Giles in The Financial Times.

Maybe not. The FT's analysis doesn't debunk Piketty's claims, economists say. "Scott Winship, a fellow at the New York-based Manhattan Institute for Policy Research, said the newspaper’s allegations aren’t 'significant for the fundamental question of whether Piketty’s thesis is right or not.' James Hamilton, an economics professor at the University of California, San Diego, said there’s 'abundant evidence' of widening inequality 'from a good many sources besides Piketty.'" Matthew Boesler and Aki Ito in Bloomberg.

@swinshi: I’ve spent time with Piketty U.S. wealth ineq spreadsheet and LOTS of time with his income data. He’s not up to funny business.

This kerfuffle also says nothing about income inequality. "Mr. Piketty is famous for having produced estimates of not just the share of wealth held by the top 1 percent (or top 10 percent), but also for his estimates showing a greater concentration of income among high earners. The F.T. re-analysis is entirely about wealth inequality, and no serious questions have been raised about the veracity of the data on the rising income shares of the top 1 percent." Justin Wolfers in The New York Times.

Primary source: New data/charts from Emmanuel Saez and Gabriel Zucman on U.S. wealth inequality.

More charts on the U.S. wealth inequality trend: Atif Mian and Amir Sufi in House of Debt.

One way the kerfuffle does echo Reinhart-Rogoff: The partisan bomb-throwing. "There was an outbreak of gloating across the wires the moment the Financial Times story went live. The book has plenty of critics...and many of which reached gleefully for word that Mr Piketty's work might not be perfect. One suspects that in a public back-and-forth that has often failed to hew particularly closely to the substance of the book, this will become an excuse for many to write the book off, and for others a piece of ammo to fire at ideological opponents. In that way, and in many others, this does look quite a lot like the Reinhart-Rogoff contretemps, to which Mr Giles draws a parallel." The Economist.

Why was Piketty using spreadsheets, anyway? "Mr. Piketty’s work is not complex and multivariate. It’s fairly simple. And for that, a spreadsheet is a reasonable choice. Moreover, because advanced training is not required to examine a spreadsheet, by working in one, and sharing it, Mr. Piketty made it possible for more people to check his work. That’s praiseworthy. If the allegations hold up, Mr. Piketty may have made some errors in his spreadsheet. But the choice of that tool is not to blame for them. Were his work more complex, he’d likely have been better off using a statistical programming language. But it isn’t, and a spreadsheet is just fine." Austin Frakt in The New York Times.

KRUGMAN: Is Piketty all wrong? "The notion of stable wealth concentration in the United States is at odds with many sources of evidence....It’s just not plausible that this increase in the concentration of income from capital doesn’t reflect a more or less comparable increase in the concentration of capital itself....If his attempted reworking of Piketty leads to the conclusion that nothing has happened to wealth inequality, what that really shows is that he’s doing something wrong. None of this absolves Piketty from the need to respond to each of the individual questions. But anyone imagining that the whole notion of rising wealth inequality has been refuted is almost surely going to be disappointed." Paul Krugman in The New York Times.

PILKINGTON: No, this isn't Piketty's Reinhart-Rogoff moment. "Perhaps Piketty has mucked up some of the figures. But his is not the only study dealing with this issue. In that sense, I don’t think that this is a Reinhart and Rogoff moment that discredits the underlying thesis of Piketty’s book. Rather I think that it is just another lesson in data analysis for us all. Lies, lies and damned statistics, as they say." Philip Pilkington in Naked Capitalism.

COWEN: Regarding data on wealth inequality. "The data section of Piketty’s book, which has gathered so much praise, then is not so useful, though by no fault of Piketty’s. We might think it likely that wealth inequality has gone up, but if we are going to do these selective overrides of the best available data, we cannot trust the data so much period or otherwise cite it with authority. We also could not map wealth inequality into particular measures of the r vs. g gap at various periods of time. If there is one big lesson of the FT/Piketty dust-up, it is that we don’t have reliable numbers on wealth inequality." Tyler Cowen in Marginal Revolution.

BRENNAN: Are there problems with Piketty's data? Of course. "One common objection to Giles’s skepticism [Friday] has been that increasing wealth inequality is simply an obvious fact of this world — why do we need the data to back it up? Well, Piketty needs the data to back up the arguments he made with it — he needs wealth inequality not just to appear high or to be rising, but to be returning to 19th-century levels as a matter of economic inevitability. The errors he made may not be devastating to the work he’s done to prove this so far, but even without taking them into account, he hasn’t yet justified his dramatic conclusions." Patrick Brennan in National Review.
 
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