Posted on 09/26/2006 5:20:47 AM PDT by .cnI redruM
Or in any of the hard sciences. But the universities like liberal arts majors inlcuding gender studies. Those programs have very little overhead compared to any techniocal or practical degree. Get lots income by shoving as many students as will fit into the biggest lecture hall.
Do you have a source for that chart? I'd be interested in seeing the numbers on which it is based. In any case, the indices in the chart are evidently not corrected for inflation. That would explain why the red line labelled "Wages and Salary" appears to be going up while every measure of real wages that I've seen shows them to have stagnated or gone down the past few years. For example, the following graph shows median and mean (average) wages for full-time, year-round workers:
The actual numbers and sources are at http://home.att.net/~rdavis2/ftyrinc.html. As can be seen, the median and mean wages of full-time, year-round working men are down over the past several years and the median wages of working women is stagnant or slightly down. Only the mean wage of working women is slightly up. In any case, the graph shows that neither the median nor the mean gives the whole story. The steep increase in the mean male wage from 1992 to 2000 was accompanied by a much smaller increase in the median male wage. In fact, one of the more interesting items that I noticed in the chart is that the median wages of working men has been pretty much stagnant since 1973 despite a 21 percent increase in the mean wage.
Of course, your chart also shows total compensation and per capita income (evidently not corrected for inflation). I assume that total compensation includes wages, payments made to the government for Social Security and unemployment insurance, medical and pension benefits, options and other forms of compensation. While these are all valid items to look at, they do not apply equally to all workers. Few workers, especially low-wage workers, receive options and many low-wage workers do not receive medical insurance. Social Security contributions have not gone up and I'm not aware of any other mandatory payments that have. Hence, it's valid to look at total compensation but one must look at pure wages to get an idea of how those who receive only wages (and mandatory government benefits) are doing.
This point applies even more to per capita income. I assume that a major component of this is investment income. Few low-wage workers are receiving much of anything in investment income. In any case, it's not the topic of this thread ("Wages of Stagnation"). Hence, I'd appreciate it if you could provide a source for your chart so that I can check the numbers and see what they include.
Hi Mase,
You NYT chart is so oversimplified as to be meaningless. Post #102 by remember is a better analysis of wages. Your chart cites 'income.' What's this 'income' and how as it calculated? Simple averages are basically rubbish because, with respect to wages, are a very skewed number. And what is this source of income? Is it strictly wages, the basis of this thread? Or is it total compensation paid by employers? Total compensation has risen, especially with the employer contributions to health care for many companies, but total compensation is not representative of real, take home wages. What people see is the bottom line on their paychecks. If that number is going up slower than inlfation, then people re being paid less. The total compensation number is a bogus game played by some employers. I was once offered a job for $30K and the HR guy tried to spin it like it was $45K because of benefits. I told him either my salary was really $45K or it wasn't and I turned it down. I didn't want to work for such a blatant spin-meister.
Remember's post is a better reflection of reality because it at least has mean and median wages while your chart has this loose 'income' value. Simpley listing even an average value is skewed because one high income earner weighs more heavily in the calculation than typical income earners. The best way to show the data would be to show a histogram with income levels vs number of income earners and plot that against time. It would be a 3D plot, but it would tell the whole story. And don't get me started on the lack of geographic breakdown, too. National averages are even worse measures of income. Until I see somethings like those, remember's post is a far, far more accurate portrayal of what's really going on. The statistics in the NYT piece is basically garbage.
And good for you that you made money in real estate stocks. To bad a good chunk of the population doesn't have money to invest in the stock market. I looked at your lint to the Flow of Fund info and, again, it's very misleading. It is simple, raw numbers that do not reflect what's really going on. It's simple totals. It says that there's about $20 trillion in houshold real estate and almost $40 trillion in financial assets. That is not distributed evenly in the population. For example, someone like Donald Trump will have a disproportionate share of financial assests and real estate compared to the average person. But there are lots and lots of people without real estate and who's only investment would be a 401(k), which is money they need for retirement, not something they can readily use today.
And what wealth is created by the service sector? It's not producing anything. I'm not devaluing it's role in the economy. There is a defininte transfer of wealth into the service sector, but unless some type of value is added, it is not creating new wealth. It is merely exploiting wealth that already exists. Manufacturing is one way of creating wealth. Natural resources is another. Adding value to a product is a third. And, as others have cited, software is a value added product and helps to create wealth.
And when you refer to home ownership at an all time high, what do you mean? Total number of homeowners? Sure that's gone up. There are more simgle parent and single people buying homes, so it not directly with past numbers. Comprehensive information would include a breakdown of type of houshold as well as the proportion of each type of household with respect to population. Simple, raw numbers are the best way to be misleading without lying.
If that link won't work please try here.
From the article:
Hence, it's valid to look at total compensation but one must look at pure wages to get an idea of how those who receive only wages
I agree that it's valid but the driving force of increased compensation is the rapid increase in the cost of healthcare. From the same article:
From the article:
How many workers receive only wages and no benefits? I've not seen any accurate statistics quantifying this. My guess is that this occurs in the lowest quintile of wage earners. If so, the question becomes how upwardly mobile are the lowest 20%. The data show that the majority of these earners do not remain in the bottom quintile for long. There has been (and will always be) a certain percentage of this quintile who never manage to move up and will require government assistance for their entire lives. Some people would suggest that a greater redistribution of wealth will alleviate this problem. After spending $2 trillion over 40 years in the war on poverty I'd say those people are wrong.
Most Americans are doing very well as Moore points out in his article
Don't you think real incomes for Americans would have to rise for the percentage of working Americans invested in the stock market to double?
The middle class seems to be doing just fine as is evidenced by this graph:
From another WSJ article: The Great American Dream Machine.
In fact, one of the more interesting items that I noticed in the chart is that the median wages of working men has been pretty much stagnant since 1973 despite a 21 percent increase in the mean wage.
The NY Times, Washington Post and the unions who run the E.P.I. have also made this same point. Alan Reynolds addressed their concerns in an article titled: Yes, A Rising Tide.
Translated into 2000 dollars, using the deflator for personal consumption, the median weekly wage rose to $589.40 in 2004 from $503.09 in 1980 -- an increase of 17.2 percent. Real wages have always fallen when oil prices surged (such as 1981 and 1990), yet the real median wage for 2005 nonetheless remained higher than any previous year except 2004.
There were three recessions between 1980 and 2004, so comparing figures for the start and end of that period cannot show what happened when. The real median wage in 1991 was $510.68, for example, so the increase by 2004 was 15.4 percent, or 1.2 percent a year. That sounds OK to me, but nobody knows whether it was slow or fast. We can't compare that 1.2 percent annual gain with the past because this data series began in 1979.
Because of major demographic changes, movements in the median wage do not necessarily describe what happened to "typical" workers over a decade or more. The median was mathematically diluted by the addition of millions of low-wage immigrants. Adding so many more people at the bottom of the income ladder redefined the midpoint (median). Yet it probably had no effect on those previously considered "typical" (middle-income) except to hold down their cost of fast food or home and lawn care.
Any measure of wages alone understates increases in living standards by excluding health and retirement benefits. The BLS index of real compensation includes benefits. It rose to 118.7 in 2004 from 89.5 in 1980 -- a gain of 32.6 percent. Even total compensation excludes income from investments, including the statistically invisible returns inside IRA and 401(k) plans. All measures of earned income likewise exclude the underground cash economy, legal and illegal. And they exclude huge transfer payments, including the Earned Income Tax Credit and Social Security.
The other thing I like about Reynolds is that he asks those who argue that real wages have stagnated since 1973 how this could be possible when real per-capita consumption has been increasing since 1973.
From Unreal Wages:
Reynolds again from Yes, A Rising Tide
No, I have no knowledge of any rdavis who used to post here. However, that is my website at http://home.att.net/~rdavis2/budget.html (I wouldn't really call it a blog). Most of the numbers there come directly from the given sources. All other numbers come from simple calculations that can be done in a spreadsheet containing the original numbers. I don't do any of the calculations by hand.
I agree that it's valid but the driving force of increased compensation is the rapid increase in the cost of healthcare. From the same article:
The real cost-driver is, of course, health care. Over the past 20 years, employer medical insurance costs have doubled relative to the average wage. If health costs are not somehow contained in the years ahead, EPF estimates that the share of total compensation consumed by health costs will double from 12% today to 25% by 2015. If that comes to pass, virtually all salary hikes for typical workers will be completely crowded out by higher employer health-care costs.
How many workers receive only wages and no benefits? I've not seen any accurate statistics quantifying this. My guess is that this occurs in the lowest quintile of wage earners. If so, the question becomes how upwardly mobile are the lowest 20%.
I did find some data on this in the Employee Benefits Survey done by the Bureau of Labor Statistics. The following table summarizes that information:
PERCENT OF ALL WORKERS IN ALL PRIVATE INDUSTRY RECEIVING LISTED BENEFIT 1999 2000 2003 2004 2005 2006 Percent of All Workers... ---- ---- ---- ---- ---- ---- ---------------------- 21 19 20 21 21 20 Participating In Defined Benefit Pension 36 36 40 42 42 43 Participating In Defined Contribution Plans 36 34 37 38 39 37 Participating In Short-term Disability Benefits 53 52 53 53 53 52 Participating In Medical Care Benefits 67 68 78 76 76 75 With Medical Care Required To Contribute Toward Cost Of Single Coverage 75 77 79 77 77 76 With Access To Paid Holidays 79 80 79 77 77 77 With Access To Paid Vacations 53 59 58 57 With Access To Paid Sick Leave 6 4 14 14 14 15 With Access To Employer Assistance For Child Care Source: Bureau of Labor Statistics, Employee Benefits Survey, online at http://data.bls.gov/cgi-bin/surveymost?eb
As can be seen, just over half of workers in the survey had Medical Care Benefits. Of those who do, about three-quarters pay some portion of the premium for single coverage. Hence, there appears to be a significant portion of workers who have no health coverage provided by their work.
Between 1980 and 2005 the share of Americans who are workers/stock owners has doubled from 25% to 52%. Since 1980, shareholder wealth has increased by about $15 trillion. Those wealth gains used to be hoarded by the wealthy, but thanks to innovations like 401(k) plans and IRAs, the wealth gains from the American bull market have been further democratized and the dividends have been spread more widely to middle-class America.
Don't you think real incomes for Americans would have to rise for the percentage of working Americans invested in the stock market to double?
The doubling of workers/stock owners says next to nothing about the distribution of the wealth. Anyone with $100 in a mutual fund or their 401K plan is a "stock owner". Likewise, it's not surprising that the percentage of people who own stock has risen. I remember back when buying a stock required a full-service broker charging high commissions. In addition, the growth in index funds and other diversified mutual funds have made it much easier for the small investor. On the whole, that's a great thing. However, it's a serious mistake to conclude that a significant majority of workers are getting a significant income from their investments, at least without the explicit data to back it up.
The middle class seems to be doing just fine as is evidenced by this graph:
Taking a quick look the BLS data from which I think that the graph was derived, it appears to be legit. However, the graph in my prior post was likewise based on BLS data. Taking a closer look at your graphs, I notice a couple of things. First of all, your graphs are based on families whereas mine is based on full-time workers. It's possible that some of the apparent improvement shown in yours is due to the increase in numbers of workers per family as women have increasingly entered the workforce over the past several decades. Secondly, I noticed that, according to both your graphs, upward mobility appears to have reversed since about 2000.
In any case, this all seems to show the importance of looking at as much data in as much detail and in as many ways as possible. Thanks for posting the source of that chart. However, it still looks to me as though the numbers are not corrected for inflation. Hence, the chart is of little use to me without access to the underlying numbers. Your other links, however, are helpful.
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