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Showing posts with label income. Show all posts
Showing posts with label income. Show all posts

Tuesday, January 27, 2015

What is Noah thinking? Part 2

Noah Smith has replied to my recent post criticizing his use of median household income to measure middle class living standards. He raises some interesting questions, but some of them still leave me scratching my head.

Smith writes:
I don't understand the idea that "households have had to" compensate for lower weekly wages (also the choice of weekly over hourly wages continues to mystify me, since long workweeks suck, but OK).
Of course, no one literally had to compensate for the fact that their wages were falling, but people do prefer to maintain (if not improve!) their current level of consumption. So, if wages are falling, and you want to maintain your standard of living, you have to adjust something.

Let's make no mistake, real wages were falling (see Table B-15), and even today remain below their all-time peak. The Bureau of Labor Statistics (BLS) likes to use the period 1982-84 as its base period for inflation calculations, so the numbers that follow are in 1982-84 dollars to adjust for inflation. Smith likes to talk about 1980-2000, working from one business cycle peak to another, but he ignores the previous business cycle peak, 1973, which is a very interesting and important one since that is the year of peak real hourly wages (equal to 1972) and real weekly wages were just 37 cents less than 1972. It seems to me that it's more interesting to ask if middle class workers are as well off as they were at their peak than to ask if they are as well off in 1979 or 1980.

What happened to real wages? In inflation-adjusted dollars, the hourly wage peak of 1972-73 was $9.26 per hour; in 1980 it was $8.26 per hour, in 2000 it was $8.30 per hour, and in 2013 it had increased to $8.78 per hour.

But it's actually worse than that. Unlike professors, whose working time is pretty much their own as long as they teach well enough and publish enough to get tenure, most people cannot choose how much they work: Their employer decides that for them. Your paycheck is hourly wage times hours worked, and hours worked by production and non-supervisory workers has fallen from 36.9 in 1972 and 1973 to a low of 33.1 in 2009 and in 2013 was 33.7 hours per week. That is why we can't look at just the hourly wage, but need to use the weekly wage (hours per year would be an even better metric, but BLS does not publish the data that way). By the way, this category of workers is no small slice: It makes up about 62% of the entire non-farm workforce and 80% of the non-government workforce.

Because both hourly real wages and hours per week fell, real weekly earnings fell even more: From $341.73 (again, 1982-84 dollars) in 1972 to $290.80 in 1980, $284.78 in 2000, and $295.51 in 2013. If you're keeping track at home, that's a fall of 15% from 1972 to 1980, a 16.67% fall from 1972 to 2000, and still 13.5% below the 1972 peak in 2013.

But wait! After directly quoting and discussing what I said about real weekly wages, Smith suddenly, with no documentation, rejects that premise: "So, median real wages in America stayed roughly flat in America in 1980-2000, and people worked more - actually, what happened is that many women stopped being housewives and began working." Nothing I said in my post was about median real wages, but weekly real wages of production and non-supervisory workers. And he knows this is my view, because he clicked through, and even linked to, my much longer post, "The best data on middle class decline." He suddenly introduces a different measure entirely, and gives no argument for why it's better.

That's not to say there's no argument one could make for that measure. In fact, Dean Baker in an email a few years back pointed out to me that the real weekly wage measure I have used does not include McDonald's supervisors, who certainly are not well paid by any stretch of the imagination. But likewise, it does not include everyone from CEO on down. To clarify the difference, my preferred measure is the average (mean) of what's close to the bottom 62% of workers, while the median is of course the median of everyone. Which better captures the situation of the middle class?

I submit that my measure is better. Smith is right that real median wages have stayed fairly flat from 1980 to 2000, and in fact they have also varied little from 2000 to 2013. But that does not seem consistent with increasing cries of economic distress, as people have lost jobs, homes, and, too often, their pensions. I have always thought that declining real wages were fairly invisible at first: People might have made less than the previous generation, but for any given individual, that effect was offset by their increasing experience over time, leading to a slightly higher  real income for that person. It was only when large numbers of people began to lose jobs, and could not find anything that paid as much as their old job, that the issue of middle class decline rose more to public consciousness.

Having shifted measures in midstream, Smith's final comments are rather less compelling. He has via  this shift precluded the answer that women entered the workforce in large numbers from 1980 to 2000 to help maintain consumption, a position buttressed by the finding of Elizabeth Warren and co-researchers that private debt has increased sharply. I would also point out that women entered the workforce more rapidly in the 1973-79 period (when incomes were falling the most consistently) than in 1980-2000, as a close inspection of this FRED chart will show. Finally, going back to Warren's work, she argues that the rapid rise of home prices swallowed up the nominal income increase due to women entering the workforce, and that the average house grew in size by less than half a room in over 20 years, even while new single-family houses were growing by the much larger percentages Smith gave in his initial article.

Hence, Smith's claim that I'm saying increased women's labor force participation "represents a deterioration in the living standards of the average American" is mistaken, based on his using a different measure of middle class income than I do. I have tried to indicate why I think my measure is better, which would make women's labor force participation indeed at least in part a response to the falling incomes his measure doesn't show.

Tuesday, January 20, 2015

What is Noah thinking?

Noah Smith put up a post Sunday purporting to show that things aren't so bad for the middle class. Then he immediately shows us a chart of median household income. Stop right there. As I have argued before, this is always going to give you a rosier picture than reality. We need to look at individual data, aggregated weekly (because average hours per week have fallen for non-supervisory workers), to know what's going on.

Because the individual real weekly wage is still below 1972 levels, households have had to compensate by having more incomes and going into debt. They have traded time and debt for current consumption. This is not an improvement in the middle class lifestyle. Commenter Richard Serlin points out that we also need to consider risk as well as average incomes, and he is right. The middle class is less secure than it was in 1972.

Noah has lots of interesting things to say, and you should check out his blog if you haven't already. But this is an error on his part, and I don't understand what he's thinking.

Sunday, September 9, 2012

Labor Day: U.S. Wages Trail 10 OECD Countries, but with Higher Unemployment than 9 of Them

Contra Eric Cantor, Labor Day celebrates the importance of labor and the labor movement in American history. But the bluster of Cantor, where he celebrates the so-called job creators, does illustrate that organized labor has been in decline in this country for quite some time.

One result of having a weak labor movement is that average wages in the United States have fallen behind those of 10 other industrialized democracies that are members of the Organization for Economic Cooperation and Development (OECD). What is most confounding, for Republicans at least, is that nine of these countries also have lower unemployment, which contradicts their view that high wages (and high minimum wages) harm employment.

The table below below is constructed from data at OECD StatExtracts, showing the average earnings of all wage and salary workers in each country, as well as its most recent unemployment rate (usually July 2012).

Country
2011 Annual Wages
Unemployment Rate Percent






Switzerland
$93,235
4.3
Norway
$81,475
3.1
Australia
$74,512
5.2
Luxembourg
$73,203
5.5
Denmark
$73,032
7.9
Ireland
$66,882
14.9
Netherlands
$57,001
5.3
Belgium
$56,252
7.2
Canada
$56,008
7.3
Sweden
$54,459
7.5
United States
$54,450
8.3
Finland
$53,069
7.6
Austria
$52,404
4.5
Japan
$51,613
4.3
United Kingdom
$50,366
8.0
France
$47,704
10.3
Germany
$46,984
5.5
Italy
$39,112
10.7
Spain
$37,583
25.1
Israel
$35,872
6.5
Slovenia
$30,676
8.1
Korea
$29,053
3.1
Greece
$28,434
23.1
Portugal
$22,559
15.7
Czech Republic
$16,922
6.6
Slovak Republic
$15,513
14.0
Estonia
$14,955
10.1
Hungary
$14,177
10.8
Poland
$13,811
10.0

Source: OECD StatExtracts. For average wages, select data by theme, then labour, then earnings, then average annual wages, and use "2011 USD exchange rates and 2011 constant prices" for each country. For unemployment, select data by theme, then labour, then labour force statistics, then short-term statistics, then short-term labour market statistics, then harmonized unemployment rates.

This table does not make use of purchasing power parity (PPP) conversions to wages (and the U.S. in fact has the highest wages when adjusted for PPP), for a very important reason. Essentially, the PPP calculation adjusts actual exchange rates for differences in the cost of living between countries. In practice, this means downward adjustments for expensive countries like Norway (where I had a personal pan pizza for $25 on my honeymoon six years ago; the New York Times recently published more examples) and upward adjustments for developing countries and even Eastern European countries. As I note in Investment Incentives and the Global Competition for Capital, gross national income per capita for the Czech Republic in 2006 was $12,680 at actual exchange rates, but $21,470 at PPP (page 99).

The reason we should ignore PPP when dealing with wages and jobs is that a company deciding to invest in one place rather than another has to pay the wages using the actual exchange rate and is not affected by PPP. Thus, if there is an effect of wages on employment, that will be a response to what an employer actually has to pay to hire someone, not a hypothetical measure of how well off the worker is in terms of PPP-adjusted dollars. The data here does not show any negative effect of wages on unemployment.

Moreover, I would argue that living in a high-wage, high-cost location has distinct advantages over living in a low-wage, low cost location, even if after adjusting for cost of living (via PPP or within a single country) the lower wage location has "higher" pay. One important reason is that having extra cash gives you extra options. You will have a higher retirement benefit and will keep it if you move to a lower-cost area, whereas the reverse is not possible. You will have better quality services on average, particularly health care. It is far easier for you to vacation in a low-cost location than it will be for someone in a low-cost location to vacation to a high-cost location ($25 personal pan pizzas!). Your high salary will be the benchmark if you take a job in a lower-cost location. If you economize from the standard basket of goods used to measure cost of living, your benefit will be higher in the high-cost area. Of course, a full treatment of this issue requires another post, but the big point is that high wages do not necessarily create unemployment and reducing wages is not the route to middle class prosperity.

Cross-posted with Angry Bear.

Tuesday, June 26, 2012

Lost Output Over $3 Trillion And Rising

Still traveling, so just a quick post, but this really can't be emphasized enough. Andrew Fieldhouse at the Economic Policy Institute reports that the Congressional Budget Office now has cumulatively reduced its estimate of 2017 gross domestic product by 6.6% since the beginning of the recession in December 2007. As Fieldhouse points out, that doesn't sound like much, but when it's 6.6% of a $15 trillion economy, we are looking at about $1 trillion (with a "T") of lost income in 2017. To put it another way, that is well over $3000 of income per person that year. That is on top of $3 trillion in potential GDP already lost since the recession began, according to Fieldhouse.

The culprit, of course, is the lack of further stimulus to the economy. After the totally inadequate $800 billion stimulus package in 2009, we have had essentially nothing. At the end of 2011, Republicans had to be shamed into approving a payroll tax cut they previously favored. Indeed, as Thomas Mann of the Brookings Institute and the Norman Ornstein of the American Enterprise Institute have pointed out, it is not the case that both parties are getting more partisan. As they put it, "Let's just say it. The Republicans are the problem." It is the Republicans in Congress who are blocking further stimulus measures. Electing a new Congress that will not pass a stimulus bill will cost Americans thousands of dollars out of their pockets.

We are a long way away from George Wallace's famous claim that there was not "a dimes' worth of difference" between the two parties.

Wednesday, March 28, 2012

The Best Data on Middle Class Decline (Updated)

The flurry of posts earlier this month on middle class decline (me, Lane Kenworthy, Matthew Yglesias, Kevin Drum) made me think some more about what the best way is to show what's happened since the peak of real wages in the early 1970s. While in my opinion there is no perfect measure, there are a lot of choices to be made, and I argue below why real wages for production and non-supervisory workers, with an adjustment for non-wage compensation, is the best single measure.

Choice 1: Household/family vs. individual

While we all live in households or families, over the past 40 years, there has been a decline in persons per household (see Kenworthy) and an increase in incomes per household as women's labor force participation has increased. The decline in persons per household means that a household needs less income than in the past to have a fixed per capita income. The increase in incomes per household has meant that households have had higher real income even as real individual income has fallen, as pointed out by commenter peggy_Boston in the comments thread of Drum's article. To my mind, this is partly causal; that is, because real wages have fallen, families have had to have more incomes in order to maintain their living standards. Indeed, falling real wages have forced families to run up high levels of debt, with non-mortgage debt reaching 1/3 of family income by 2005. Therefore, I think individual data is the right choice here.

Choice 2: Median income vs. production and non-supervisory workers' income

The median (middle value, with an equal number of observations above and below it)  has big advantages over the arithmetic mean in trying to show the typical situation in a distribution of values. It is especially useful for income distributions, where the presence of very high incomes means that the mean is much higher than the median. In fact, the literature on "decoupling" (see Kenworthy above) demonstrates just how much this is the case. But I think that "production and non-supervisory workers" captures our intuition about who is in the middle class even better than the median does. This series, in Table B-47 of the Economic Report of the President, is an average of the earnings of employed persons in private (non-government), non-agricultural jobs. It includes about 80% of the private workforce and 64% of the total non-agricultural workforce. Despite being an average, its exclusion of supervisory workers means that virtually all of the extremely high values that distort the mean of the entire workforce are eliminated. It is, essentially, the mean income of the bottom 80% of private workers. The biggest drawback to this dataset is that it does not include non-supervisory government workers, but I think that is outweighed by its broader coverage of the middle class than the pure median income (or middle quintile, as in Kenworthy's post).

For the counterargument, that changes in composition of production & non-supervisory workers can cause distortions that the median wage is not subject to, see Dean Baker (p. 9).

Choice 3: Weekly vs. hourly

Baker mentions hourly earnings rates in some cases. As I discussed in the comments section of my March 11 post, the decline in hours worked per week (from 36.9 hours in 1972 to 33.6 hours in 2011) suggests to me that we need weekly, not hourly, wages.

Choice 4: Which inflation data to believe?

Shortly after President Clinton's first election, I predicted to my students that, because his message of middle-class stagnation ("It's the economy, stupid") was dependent on how inflation was measured, that conservatives would soon attack the official Bureau of Labor Statistics inflation data. The issue is, if inflation is overstated, then the decline in real wages reported by the BLS could be overstated or even non-existent. Conversely, if BLS data understates inflation, then real wages have fallen even faster than shown in Table B-47.

Unfortunately, I did not publish this prediction, so you'll have to take my word for it that I predicted the attack on inflation data that culminated in the Boskin Commission in 1995. I always took this to be a political attack rather than a scientific one. My attitude has always been that trade theory (i.e., the Stolper-Samuelson Theorem; see Ronald Rogowski's great book Commerce and Coalitions for an explanation of this topic, which I intend to discuss in a later post) predicts that real wages in a relatively labor-scarce country like the United States will fall as trade expands, and the data shows that real wages indeed fell: so what reason do we have to question the data? In the end, though, the Commission concluded that inflation was being overstated by about 1.1 percentage points a year, and the BLS was mandated to adjust its methodology.

Barry Ritholtz takes an even more jaundiced view of the Boskin Commission than I do. Paul Krugman, on the other hand, is not convinced that inflation is now significantly underreported, citing the work of the Billion Prices Project. For the moment, I do not see reason enough to toss out the BLS data, despite the possibility that the Boskin Commission may have introduced distortions into it.

Choice 5: Wages vs. compensation

Martin Feldstein and other economists argue that it is not sufficient to look at wages alone, because the non-wage share of compensation has been growing over the past few decades. As I posted before, total employee compensation includes everyone from the CEO to the janitor, so it overlooks the fact that the top 1% have made almost all the gains from decades of economic growth. Nevertheless, it is clearly true that non-wage compensation has grown faster than wages, as we will see below. In fact, Yglesias suggests that the 2000s actually saw real compensation growth at the median, but it was all in the form of health insurance benefits. Of course, there is some debate over how much value actually comes from extra employer payments for health insurance, as Baker's paper (p. 10) details

A different way to factor in compensation that I had seen before on the Economic Policy Institute's website was explained to me in an email by Jared Bernstein and is documented in the footnote of his blog post here. It takes the ratio of total compensation to total wages, both of which are in National Income and Product Accounts Table 1.12 (you can set it to a wider range of years, as I did). Whereas he applies it to median wages, I apply it to Table B-47 and get the following results:

Year          Weekly Real Earnings     Comp/Wages     Weekly Compensation
                  (1982-84 dollars)                                     (1982-84 dollars)

1972          $341.83                         1.14                   $388.01
1975          $314.75                         1.16                   $366.63
1980          $290.86                         1.20                   $348.93
1985          $285.34                         1.22                   $347.10
1990          $271.12                         1.21                   $328.99
1995          $267.07                         1.22                   $326.23
2000          $284.79                         1.20                   $341.49
2005          $284.99                         1.24                   $352.87
2010          $297.67                         1.24                   $370.28
2011          $294.78                         1.24                   $365.77

Note: Last two columns rounded from spreadsheet calculations

Sources: Economic Report of the President 2012, Table B-47, National Income and Product Accounts, Table 1.12, and author's calculations

 By this measure, compensation in 2011 for most workers was still almost 6% below its 1972 peak. The advantage of this adjustment over Feldstein's procedure is it strips out the wage inequality of the compensation data, although there is still some overstatement based on inequalities in non-wage compensation. Still, I think this gives us our most accurate picture of what's happening to the bottom 80% of workers.

That is not to say that this is a perfect measure even with those caveats. It matters what is happening at the top, too. If high wage earners were seeing their income fall faster than middle-class workers, then inequality would be falling and we would probably object less to what would then look like the much-vaunted "shared sacrifice." But of course, as Kenworthy notes, the share of the top 1% more than doubled from 1979 to 2007, from 8% to 17%. With inequality rising as it is, we now seem to be in danger of a consequent sharp shift of political power to the 1%, as MIT economist Daron Acemoglu told Think Progress' Pat Garofolo.

I look forward to your comments, especially if I've gotten something wrong.


UPDATE: By way of comparison, here is Lane Kenworthy's chart.

 

In it, you can see that by either median family income or 3rd quintile household income, incomes started rising shortly after 1980, whereas in my table compensation-adjusted real wages continued to fall until 1995. You can also see the divergence in median family income and Q3 household income between 2000 and 2007, as noted by Yglesias. Whereas the increase is made up entirely of nonwage compensation in the Q3 household income series, in my table at the individual level we have an increase made up partly of wages and partly of nonwage compensation.

Monday, March 12, 2012

Basics: Real Wages Remain Below Their Peak for 39th Straight Year

The release last month of the Economic Report of the President has elicited a great deal of commentary, but none that I have seen touches on what I consider the best measure of long-term income trends, real weekly wages of production and non-supervisory workers, which is contained in Appendix Table B-47, "Hours and earnings in private non-agricultural industries, 1965-2011." According to a Bureau of Labor Statistics staffer I spoke to some years ago (so the percentages may have changed slightly), this covers 62% of the entire workforce and 80% of the non-government workforce. This lets us focus on average workers and excludes what is happening to high-salary workers. Using weekly rather than hourly real wages takes out the impact of varying hours worked per week over the years. The table below extracts from B-47 to reduce its size. The inflation is adjusted using 1982-84 dollars as its base.

Year          Weekly Earnings (1982-84 dollars)
1972          $341.83 (peak)
1975          $314.75
1980          $290.86
1985          $285.34
1990          $271.12
1992          $266.46 (lowest point; 22% below peak)
1995          $267.07
2000          $284.79
2005          $284.99
2010          $297.67
2011          $294.78 (still 14% below peak)

Thus, we have 39 straight years where real wages have yet to get back to their 1972 peak and, indeed, they are a long way from that peak still. This is doubly surprising when we consider that productivity has been increasing steadily throughout that period, approximately doubling from 1970 to 2011, as shown by the Federal Reserve Bank of St. Louis' data:



FRED Graph

Due to the convergence of rising productivity with falling wages, we should not be surprised to see that labor's share of non-farm income has fallen:



FRED Graph


There are other ways to track the income of average workers. The Economic Report of the President highlights median household earnings in its Figure 1-1, but these data are affected by changes in the number of incomes per household, primarily the result of increased women's labor force participation. The bottom line is that the increase in incomes per household obscures the fall in individual income for most workers.

Some conservative economists, such as Martin Feldstein, have argued that we should instead use real compensation instead of real wages and use the same inflation adjustment ("price deflator") when analyzing trends in compensation and productivity. There are multiple problems with his analysis. First, he claims that the growth of compensation (1.7% per year) is almost as high as the growth of productivity (1.9% per year) over the 1970-2006 period, but ignores the power of compounding. The 0.2 percentage point difference may not sound like much, but over 36 years productivity grew by 96.9% (1.9^36) and compensation by only 83.5% (1.7%^36) using his preferred measure (and I can't comment on its correctness), so workers' compensation should still have grown by substantially more than it did.

An even bigger problem is that the compensation series includes all workers, not just average workers, so it lumps CEOs and janitors together in a single measure even though we know that the 1% soaked up most of the income gains before and after the Great Recession. Moreover, the nonwage portions of compensation, such as health insurance and defined benefit pensions, have eroded much more for average workers than for the 1%. Thus, this measure is completely unsatisfactory for understanding what has happened to the average worker.

So, we come back to Table B-47 and the real wages of production and non-supervisory workers. The fact that, adjusted for inflation, wages still remain almost 14% below what they were 40 years ago, despite a doubling in productivity, is a national disgrace. It is one of the roots of the increase in multi-income households, in higher levels of indebtedness needed to maintain consumption levels, and of the sharp increase in inequality we have seen over recent decades.

Thursday, August 4, 2011

Jobs falling, income dropping, according to 2009 tax data

David Cay Johnston (h/t Mark Thoma) has a new column up on the results of the latest income tax data (2009). With the economy back at stall speed, things probably won't look much better when the 2010 data becomes available next year. Or the 2011 data, either. Some excerpts:


(Reuters) - U.S. incomes plummeted again in 2009, with total income down 15.2 percent in real terms since 2007, new tax data showed on Wednesday.

The data showed an alarming drop in the number of taxpayers reporting any earnings from a job -- down by nearly 4.2 million from 2007 -- meaning every 33rd household that had work in 2007 had no work in 2009.

Average income in 2009 fell to $54,283, down $3,516, or 6.1 percent in real terms compared with 2008, the first Internal Revenue Service analysis of 2009 tax returns showed. Compared with 2007, average income was down $8,588 or 13.7 percent.

Average income in 2009 was at its lowest level since 1997 when it was $54,265 in 2009 dollars, just $18 less than in 2009. The data come from annual Statistics of Income tables that were updated Wednesday...

The share of households filing a tax return but paying no income tax results from two key factors:
* One is the drop in incomes because a married couple does not pay income tax until they make at least $18,300, and families with two children pay no income tax until they make more than $40,000 under policies started in 1997 and since expanded at the behest of Congressional Republicans, many of whom complain that too many households do not pay income taxes....
 So, we have a full 12 years of no income growth. (Remember, this is average income; it would be useful to see what happened to median income as well.) Millions of jobs lost. And the priority out of the White House and Congress is fixing a long-run deficit problem caused primarily by rising health care costs rather than doing anything about the immediate job deficit. Depressing.