Posts filed under “Data Analysis”
In yesterday’s RM column, I referenced a chart from the Sunday NYT (below).
click for larger graphic
Courtesy of the New York Times
Since the theme of the column was "Ignore Statistical Oddities at Your Peril," here is one to mull over: How much of an economic aberration is a large middle class?
For most of history, there has been landed gentry and working knaves. The middle was relatively narrow slice — larger in numbers than the wealthy, but obviously less numerous than the poor.
During the Roman Empire, the merchant class fully developed, including soldiers, traders, and all manner of craftsmen. The Middle Ages saw the rise of Guilds, as Coopers, Smiths, Innkeepers all rose above the indentured servants and free field hands. Perhaps some of our more knowledgable readers with a better grasp of histpory than I can address this in comments.
Following WWII, the United States saw an explosion in the number of people moving into the Middle Class. Those numbers may now be slowly reversing.
The funny thing to me is how your perspective can get easily skewed by your surroundings. To be in the top 1% of earners in the U.S., you need an annual wages/income of $237,000. Here in NYC, where there is an enormous concentration of wealth, you are (barely) upper middle income at that salary level — certianly not wealthy. And on Wall Street, half the people I personally know earn at least that much — and complain about it.
How this wealth distribution plays out may have significant repercussions on a variety of sectors — especially the balance between luxury and discount goods.
It is definitely worth keeping an eye on this in the near future . . .
Economic View: Income Inequality, and Its Cost
NYTimes, June 25, 2006
Lets just look at what’s wrong with a few items in Jim Altucher’s column yesterday, “The Underlevered American Household.” I may have to address the rest of the erroneous analysis in a full column — but for now, let’s stick with the first chart in the article. Jim believes the following chart is “mostly useless.”…Read More