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Is "The Productivity Miracle" History?

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An economist lands on a distant planet. He is greeted by alien emissaries. Anxious to learn about the planet, the economist questions the aliens. But instead of the classic “take me to your leader,” he inquires, “what is your trend productivity growth?” (This scares the aliens and they zap him into dust.)

This little allegory is designed to highlight the prominent position of productivity—output per hour worked—in the economists’ hierarchy. I raise it because we’ve got trouble in River City. And that starts with ‘T’ and that rhymes with ‘P’ and that stands for productivity slowdown.

What’s productivity and why is a slowdown such a threat? Suppose we have a little donut factory (ummm…donuts…mustn’t write when hungry…mustn’t go downstairs for donut…mustn’t buy donuts on days when working at home…must concentrate…donuts kill productivity), and we make 100 donuts per hour. Next week, with the same number of workers, we make 110 donuts per hour. Our productivity just went up 10 percent because we’re making 10 percent more donuts with the same “labor inputs” that used to make only 100. (Note clever substitution of “labor inputs” for hours worked—now you too can go on TV and sound obscure and annoying.)

 

You may wonder: how could that happen? What fairy dust enabled our staff to kick up its donut production by 10 percent? It could be capital investment, as in they bought a new, improved donut maker; it could be they reorganized they way they work, or it could be a tough new boss squeezing more donuts out of the production staff.

 

However it materialized, the reason productivity growth is so important is because it’s a primary determinant of living standards. Greater efficiencies create more opportunities. The availability of more donuts may not help much, outside of creating more work for heart surgeons. But, to take a positive real world example, we’ve been tremendously efficient at manufacturing computers, and now computers are cheap and much more widely available.

 

Faster productivity growth creates the potential for greater living standards. Of course, whether that potential is realized is a function of how the benefits of said growth are distributed. For the past few decades, with a brief pause in the latter 1990s, the benefits of productivity growth have flowed almost exclusively to those at the top of the wealth scale.

 

Now, we may have a new problem. The graph shows yearly productivity growth since 2000:

The figure reveals two different growth regimes. Averaging over the quarters through 2004q2, the annual growth rate was 3.4%, an historically very impressive rate. Prior to the dates in the figure, since the mid-1990s, productivity grew around 2.5% per year, a nice, strong acceleration over the 1.5% that prevailed since the 1970s.

 

But since mid-2004, the annual growth rate has been 1.3%, which is pretty much the doldrums. As Larry Mishel and I highlight in our forthcoming Labor Day paper (to be posted on the EPI website), this slowdown appears to have bled right into real wage growth, which has been flat since late 2003.

 

And if productivity is really stuck in the 1.5% range, the downsides will show up in lots of living standards indicators, from slower GDP growth, to higher unemployment and slower growth of family incomes. The question is whether this is a temporary blip or a new, lower regime.

 

Some experts argue it’s an end-of-cycle blip. That is, as the business cycle starts to falter, output growth slows but employers don’t recognize the slowdown as such, and continue to maintain their workforce. This combination of slower output growth and steady or growing hours worked leads to slower productivity. But once the recession actually hits, layoffs follow and productivity stabilizes.

 

I can’t say I hope that’s right—it’s not exactly a desirable tradeoff—but it doesn’t sound right to me. The timing seems off, as the productivity slowdown started back in ’04, when the cycle was in full swing.

 

Here, instead, is a set of potential explanations, for which I have little, if any, evidence. They are merely hypotheses to discuss, expand upon, etc…

  • the opportunity costs of the war;
  • general slack in the job market which enable firms to be profitable without innovating;
  • nervous “animal spirits” (producers and investors nervous about geopolitics and less than competent governance here at home);
  • lousy fiscal policy;
  • diminished returns to IT (computerization played a key role in the 1990s productivity acceleration);
  • housing bubble (note, though, that slowdown proceeded bubble burst);
  • environmental degradation;
  • the fact that in this inequality climate, firms haven't needed to invest or innovate much to be profitable. They can just kick labor's butt, kick back, and watch the bucks roll in.
  • [your idea here...]

86 Comments

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Pre-reading comment.

Why raise productivity if you are not rewarded for it. Been going on some years now. Just pay the effers for firing people. Short term profits. Yeah! That's the gig. No one can raise any signal of dissent without losing their job or, at least, demotion.

Get a grip. This country has lost course.

Post-reading Comment.

Yeah he sort of missed the point. Came close but he didn't even see it passing him by.

I think it used to be good business practice to invest for future benefits - basic research, development of newer production equipment, better factories, etc. Those investments didn't begin to pay off for at least a few years.

Today, my impression is that the business of business is largely to inflate stock prices. The dot com boom, for example, featured almost all of the profits coming from selling stock in the company, not from production. And, as best I can see, corporations today do everything possible to get their stock price to go up, not to improve profitability, improve productivity, improve product quality, etc. So, everything that has a negative effect on this year's bottom line is dropped, thus none of the productivity gains that come from research, tooling development, etc. are realized.

The blame for this is not necessarily on corporate management, but on "investors" who insist on a constant rising stock price above all else. In my opinion those "investors" are actually gamblers, but that's just my opinion.

Hoppy in Sacramento

If my children, who entered the job market over the last few years, are indicators, companies and municipals are taking on employees. One kid is in advertising, and found a job as copywriter for a design firm that has not had an in-house copy dept. (Small shop.)

If the employment uptick is "using up" all the available output increase, new orders etc., productivity is a bit flat, right? The optimistic view would be employers preparing for better times to come.

As a member of the labor contingent, I'm not unhappy with flat productivity, if it means pay is holding. More depressing to think it's only employers that haven't gotten around to firing workers to anticipate the looming slowdown. Excuse me, but what have the last five years been, a boom? Seemed pretty slow to me.

Your last idea sounds about right. It was evident at my last contract negotiation, in 2004. Even in a non-profit, that had a hugely inflated budget, of which labor was around one-quarter of the total, the board chairman, Bill Strong, announced he wanted a 25% pay cut from us (his only actual revenue stream).

There's definitely been a bull market in in unmitigated gall, until various chickens started roosting.

We can't just start a band? even with uniforms?

Oversaturated markets? 

What is the point of making 110 donuts if you can only sell 100?

 

Fair point. 

But higher productivity growth doesn't have to be realized as more consumption.  In some other countries, they 'spend' the faster growth on more time off.  If productivity's growing 3%, you can also have the same output with fewer hours worked.

Perhaps the large productivity growth had its limits because it relied so heavily on downsizing rather than investment, capital creation, consumption, the usual things. In other words, they tried something new, with immediate results, and then that having been tried, it's been done.

I don't mean they can't benefit further from deregulation, mergers, global outsourcing, reducing costs faster than they're reducing product and sales, and other factors promoting the strategy, although even there one can imagine some limits, as now with some highly publicized firms changing course and divesting or splitting apart. I just mean that it was a one-time boost that could have its largest benefits quickly realized. And then one has to cope with realities of lowered traditional drivers of expansion. (Of course, Jared's other points are valid, too.) 

John 

http://www.haberarts.com/

Increased leisure would suit me fine.  I even think we should find some way to share our work to gain still more leisure.  Somehow I am not comfortable with the idea that increasing productivity with a still increasing population adds up to more people with both less time and less money. 

Any evidence that is happening?

Edit note:  I need another couple of cups of coffee before attempting to express complex thoughts in complete sentences.

 

 

Can we expect productivity to increase indefinitely and infinitely?

Some day, we'll be making trillions of donuts with no more labour input than a hamster at a wheel?

I was sort of hoping for a replicator powered by ditlithium crystals but if a hamster at a wheel will work, I am willing to give it a try. :-)

The problem is that "productivity" is an artificially narrow measure. In addition to labor, output requires raw materials and energy.

What we have seen since the beginning of the industrial revolution is that "productivity" goes up when machines replace people. But machines require energy to run. When energy is cheap then so is running the machines. In poor areas of the world people are cheap compared to mechanization and are substituted for machines. There are lots of places where road crews are guys with picks and shovels not graders.

Economic models and short-term business practices don't incorporate the energy and raw material inputs practically. Even when they play lip service by referring to "externalities". No model, that I'm aware of, can deal with the fact that fossil fuels are non-renewable. This means that any pricing scheme for them is incomplete.

The western economies that have done well in the past twenty years (I'm thinking of the UK and Scandinavia) had windfall access to North Sea oil. This is running out. It will be interesting to see what happens next.

The US also benefited from cheap oil. We over pumped domestic oil and had favorable deals with Canada and Mexico. This is also becoming more problematical.

Productivity is just not an adequate measure to use when analyzing economic activity.

--- Policies not Politics
Daily Landscape

Productivity is a perfectly fine economic measure.

You are presenting arguments for why lower or higher productive workers will be utilized based on the cost of labor, the cost of capital to improve productivity, ect. That doesn’t mean there is anything wrong with measuring productivity.

I've spent most of my Engineering career (to-date) developing tools that help people do their work better- in fact I have a statement to that effect at the top of my resume.

In my opinion, if you want to know who's interested in improving productivity, look at who's training and who's hiring Engineers. That is our job after all.

-Dave Adams-

I think you misunderstand how much of a typical company's profits have been skimmed off by top management relative to shareholders generally over the last 20 or so years. It started with the advent of stock options. Look at the head of Conurtywide--he never bought a single share of company stock, he just cashed in options and sold stock as the share price rose. He's sitting pretty now as the company goes under. With options being less advantageous and dividends taxed at 15%, dividends are being raised as a means of inflated compensation in addition to grants of stock. All this may collaterally benefit ordinary shareholders, but more benefits management. Workers certainly have not benefitted from rising productivity, but the biggest benificaries have been top management, not ordinary shareholders.

John,

I think what you describe explains the acceleration of productivity in the 2000s, from ~2.5%/yr, 1995-2000, to 3+%, 2000-04.  That extra boost in the 2000s seems to have partly derived from speed-up, layoffs, etc.  From late '01 to mid-03, we had falling employment and rising output.  That shows up as faster productivity, but it cannot be sustained.

In today's stock market "ordinary shareholders" are almost totally irrelevant. Virtually all stock is owned by large investors, such as pension funds, mutual funds, and very wealthy individuals. Just look at the number of shares that change hands in one day. For that to be "ordinary shareholders" it would take enormous numbers of such shareholders to account for even a fraction of the trades. (I consider ordinary shareholders to be those with perhaps $100,000 invested in the market.)

Hoppy in Sacramento

The most reasonable explanations so far (to me) are the declining marginal benefit of replacing labor with machines due to increased energy costs and the declining marginal value of squeezing more work out of each worker. Workers can't be squeezed forever, and energy and materials costs are up. Plus the fact that so much productive effort goes into the war, rather than production of goods and services that add to well-being. That has to count somehow.

I'd add to these the declining marginal value of offshoring as energy costs rise--it costs more to ship these days, especially by truck. Another factor is declining educational levels in the US--are we running out of truly skilled workers? It seems to me that the truly competent are very overworked. And because of low wages, many people have to get by on more than one low-wage job.

The fundamental problem as I see it is that the productivity gains have gone so much to management at most companies, and to the very wealthy generally, that incentives are being destroyed for people lower down. At the same time, there isn't the same climate for entrepreneurship because education is declining, capital is freezing and the markets are skewed to benefit the already-have-a-lots.

rdf,

You are right, importantly so, re ignoring externalities, especially environmental damage.

But you might want to check out a measure of productivity on the BLS webcite (which seems to be down right now) called multifactor productivity.  Unlike the normal measure, it includes the value of other types of inputs, including energy, capital, land, etc.  (This measure too, though, ignores long environmental damage.)

EG, in my donut eg, if the 10% increase was due exclusively to a new machine, multifactor productivity (mfp) would show no increase.  From 1973-95, avg mfp grew 0.6%/yr; 1995-2000: 1%; 2000-05: 1.7%.  I suspect the recent 0.7% acceleration has a lot to do with unsustainable speed up, squeezing workforce, layoffs, etc...

This is just silly and self serving. Many people who are interested in productivity improvements simply buy your products and have no need to hire engineers.

Its a shame to premise such a good question on a confused causality.

If productivity is a limit, then that implies that changes in productivity only have a causal impact on wages and employment if there are forces in the economy that serve to continually press the economy toward that limit. And since the work from the 70's that resulted in the debunking of General Equilibrium theory, there is no substantial argument for supposing that there is any such persistent force.

Rather, with the collapse of General Equilibrium theory (even if many still insist on propping up its rotting corpse, like an academic Weekend at Bernies), we are left in a General Theory world, where the refusal of the monetary authority to countenance full employment levels of effective demand, imply slack labor markets, leading to low wage growth and, when tallied up, a substantial share of unemployed labor hours.

Lower productivity growth only implies lower employment growth to the extent that the Fed reacts to hints and portents of inflationary pressure as an excuse to engineer an overly restrictive monetary policy.

Clearly, when there are sufficient opportunities to justify shifting into a new technological regime, then following up on that shift will be a substantial amount of productivity growth from learning by doing.

However, it is only the cult of management that places the sole focus of that learning by doing within the management hierarchy itself. Rather, sustaining that learning by doing requires that much of it takes place among production workers.

And it is growing productivity among line workers that comes into a fundamental conflict with the strategy of aiming for a growing profit share rather than focusing on growing total value added, since the goal of placing management in the position to claim increasing profit shares undermines the process of mobilizing production workers as active collaborators in the process of learning new skills and sharing them with workmates and management.

And it is growing productivity among line workers that comes into a fundamental conflict with the strategy of aiming for a growing profit share rather than focusing on growing total value added, since the goal of placing management in the position to claim increasing profit shares undermines the process of mobilizing production workers as active collaborators in the process of learning new skills and sharing them with workmates and management.

Isn't that what I said? (Although admittedly in a less eloquent and technically precise way.)

Well the BLS website is still down.

The oddest thing about the productivity series is how steady the decline has been since 2003 and how steep. We have a 4% number turn to a 1% number. Yet we are not seeing visible employment effects either in the unemployment rate or near as I can tell wages.

Social Security receipts are still coming in ahead of projections even though reported productivity is lagging the numbers in the models. Perhaps Jared can expand on this, but it is my understanding that real wages were historically correlated with productivity but that this relationship broke down some in the early part of this decade. But if productivity is really dropping as drastically as the reported numbers and wages are somehow holding up it would appear that this development if anything has reversed.

We are four years into a steep slump in productivity growth, you would think by know that the wage and employment effects would be showing up. I follow the productivity series closely for some other purposes but don't pretend to fully understand it. But it made sense right through to Q3 2005. Then it dropped like a rock in Q4 to zero, shot to 5.1% in Q1 2006 and then has been sinking ever since. To compound my confusion there have since Q2 2006 substantial revisions stretching back as far as 2002, huge amounts of growth simply vanishing from the books.

I don't get it, I simply see nothing fundamentally changing in 2003 that would explain this and I have kind of lost confidence in the utility of the measure.

If productivity drops to near zero and only a labor economist hears, did it actually make a noise? Because tax cutters are still bragging about all the growth their cuts produced. Well what growth? Its not showing up in productivity or GDP.

How about that our workforce is aging and employers have been scamming the productivity reports?

Large Companies have been scamming the productivity numbers by demanding that workers complete the work no matter how many hours it requires. The corporations are only paying for the standard 40 hours so it appears that there has been a productivity increase.

Now with the workforce aging those free extra hours are being reduced. Why reduced? The older the worker, the less likely they are to be able to sustain those high hour weeks without regular productivity dropping during the normal 40 hours.

The companies with an aging workforce with ten people in an office and suddenly you have to hire another worker to get the job completed will skew your productivity measures.

The aging workforce also has additional problems with health which will affect productivity numbers.

There is also the screw you factor coming into play. How long will people continue to carry an additional workload before they figure out that they will never get paid anymore money and the company is just using them?

The history of the US workforce rebellions is correlated with excessive distribution of wealth to the top. It is hard to motivate employees when the corporate elite are raking in more than 400% of a company’s average wage.

Another factor is the high concentration of US GDP coming from the Financial Market. When all you are doing is moving money around and automating your workforce is there really any production occurring at all?

And what about external influences on productivity like Katrina destroying the Gulf Coast and then the flooding of New Orleans? Of course the war is sucking not just material but skilled people out of the country via the high mobilization of the National Guard.

The aging workforce isn't going to get any better, the housing market won't be recovering any time soon, reconstruction of New Orleans is failing, the War and it's costs will be reducing government investment for years and the US GDP will get more and more reliant on the fantasy production of the Financial sector.

The rise in productivity since 1990 has been the result of technology integration into standard business models and the exploitation of the workforce.

The technology integration has now reached saturation and will only progress along with normal business investment.

It looks to me as if the real weakness of the US economy is finally coming out of the closet. All of our rosy Government produced and fudged measurements are being exposed as smoke and mirrors.

With the Subprime meltdown and its impact on the broader Banking situation I think we should expect next years productivity numbers to be substantially lower. If they are not then we know someone is playing fast and loose with the statistics.

I'm not sure I agree with you theory about an aging work force, since people did not suddenly age overnight in 2003, which is what the figures show for an abrupt productivity drop. I would however like to know just how the stats are derived: how do we know what the "output" is and how do we know just how many hours are being worked? Beyond that though if there really was a sudden change in productivity in 2003 then I think suspicion must center on the main event of that year: the war with Iraq.

I discussed Iraq in my post as well, just not in relation to the 2003 drop.

I agree with you about the precipitous drop in 2003 being attributed to Iraq; perhaps the follow on of Katrina and then the housing drop which actually began in certain locations in 2005 have kept the numbers low.

The aging workforce issue is one that I believe could have been a hidden factor prior to 2003 which was covered by rising productivity in some other broad based area. Once that area was leveled the workforce issues of age and frustration began to appear.

Your point about seeing the BLS data and the statistics used to prepare the summary report ties in to my belief that the numbers can be "cooked". Just look at the reports being revised back as far as two years. It’s like the corporate profit certification law change where suddenly the profits were restated back into prior years.

Which again raises the issue about the statistics; the employment numbers, CPI and GDP are notoriously fudged figures that use selective criteria to advance a particular agenda.

Can 2003 be attributed to real factors or did the fudge factor and selective statistical base data finally catch up in the reported numbers?

My belief is that for the longer term the aging workforce and the baby boom retirement expectations that have been lowered due to the financial markets which will cause the baby boomers to work longer will suppress productivity gains. In addition, at what point do the US workers begin to revolt against the wage stagnation and refuse to work the longer hours?

I believe, having done my time within the government that the numbers are as real as the senior executives want them to be. The incest within the financial markets between banks, brokerages, and the Federal Reserve exert a tremendous control over making sure the numbers are maintained as much as possible to serve their own interests.

Just my little bit of conspiracy theory.

No evidence that we're consuming less productivity growth (ie, cashing it in for more leisure). 

To the contrary, consumption as a share of the economy has ticked up in recent years, and if anything, we seem to be working longer, especially compared to those in other countries.  If I were smart enough to post graphs--just tried again and failed miserably--I'd post this amazing (to me, anyway) graph showing consumption as a share of GDP here and abroad.  We're a huge outlier.

Could you provide links to your favorite charts?

I'll get them up on the EPI website tomorrow and post the urls...sorry for the delay.

I believe that in general, a fair size chunk of apparent gains in US productivity over the past decade may have been less attributable to producing more stuff with fewer people than a matter of producing more stuff with fewer people here. I'm talking about the trend in offshore production of course. But I've been noticing signs for some time now in my own industry that the gravy train of outsourcing starting to lose steam, most likely for a couple of reasons that were pretty easily predictable to anyone who bothered thinking about it.

1. The set of things that can be moved to Asia is finite
2. Asia is finite (and the areas suitable for export production are more finite still)

For example the company I work for has closed two domestic factories in the past three years, the second just last year, and moved that production to China. Now, we have no more domestic production to move so domestic productivity numbers aren't going to be getting any more big one-time bumps like that from us atleast. That's a pretty common story these days.

We have also been finding it increasingly difficult to get anything produced in Asia with acceptable qulaity. So in we're probably producing somewhat less stuff these days. Annual turnover in management and engineering personnel at some of our CMs (contract manufacturers -- foreign companies can't actually own factories in China) is probably in excess of 100%. Our guys go over there and train up a team to produce a product, then six months later when quality issues start cropping up they go back and find everyone they trained has moved on. Competition for good people is fierce and many also leave to start their own companies. There are also rumors afoot that some of the people working the lines in some of these places are starting to look quite young.

As we're finding it harder and harder now to build anything we can actually sell, our sales network isn't exactly out there setting the world on fire either. So there's that.

Those are interesting points re the limits of outsourcing.  I've heard others, in Silicon Valley, make similar points about limits of outsourcing programming beyond pretty basic stuff.

And you're right, for this type of thing to show up as faster productivity growth, the activity that's boosting efficiency has to keep growing.  It can't be a one-off advance.

In 2003, China surpassed the United States as the world's largest recipient of foreign direct investment. So the Chinese have the growth in foreign investment which obviously results in growth in Chinese productivity - they can buy many of the new model donut machines, while we can't buy as many new model donut machines as we could have if foreign investors continued to see the US economy as a good investment in comparison to other countries.

More investors are "outsourcing" their investments. I suppose you could call that economic blowback. How much of the economic blowback has to do with foreign policy blowback I don't believe we could quantify, only surmise.

Umm.
Maybe the 110 donuts are 10% smaller than the 100 donuts?
Naw, they'd -never- do that!

I just posted a short essay elsewhere where I make a stronger claim. I claim that economists (and social philosophers of all stripes) don't really know how to include non-renewables into their models. It's not just that externalities aren't considered in traditional models, it's that non-renewables are, well, gone forever.

If you are interested here's the link:

Pareto and Ricardo - a Parable

--- Policies not Politics
Daily Landscape

. . . this slowdown [in productivity growth] appears to have bled right into real wage growth, which has been flat since late 2003. Jared Bernstein

Don't you just love it?

For years we've been arguing that the slow down in wage growth -- and the reversal of the Great Wage Compression -- was due to Repug and especially, GWB's "I call you my base" tax policies.

Now, Jared links the slowdown in wage growth to the slowdown in productivity growth. And of course, he hasn't an idea -- or I should say he has too many ideas -- of why either is slowing or of what the link between the two is.

And so it goes.

You've got to be kidding me, Ellen.  For the past decade, the vast majority of my work has been about this very relationship--real wages, productivity, and job growth/unemployment.

See 8 editions of State of Working America for starters, but if you're really interested, read The Benefits of Full Employment, by me and Dean Baker.

Therein we show that in an economy with few unions, lots of globalization, low min wgs, and little bargaining power for most workers, it takes a combination of low unemployment (in the 4% range) and fast productivity growth (above 2%/yr) to generate broad-based wage growth.  We call it the 4/2 solution and wrote an article summarizing it for the American Prospect (for some reason I can't link to it, but it's in the Nov 2002 issue, (vol 13, #20)).

You should dig a little deeper before you shoot from the hip!

Actually, Jared -- and I'm sure you'll agree; after all, the charts "prove" it -- wage growth in the '90s was caused by the fall in world gold prices and in long term interest rates.*

Correlation -- as we all agree -- is not causation.

And yes, I do love the picture of economists carefully inspecting today's favored entrails as they offer their current speculations.

And so it goes and goes and goes.

* That's a joke. What isn't a joke is the question of whether the 90s' rising productivity was caused by a statistical artifact -- that is, hedonic adjustments to the price of huge IT capital expenditures to convert nominal costs to real costs. And if it was an artifact, an artifact no longer significant, then, so-called diminishing productivity isn't even interesting.

My able TPM friends will soon have the productivity graph up, I'm told, but here are two links (thanks to EPI's Chris Barbee).  The first is to the productivity graph, the second to the consumption as a share of gdp comparisons across countries (sources: BLS and OECD)

http://www.epi.org/images/20070827-jb-prod-growth.gifhttp://www.epi.org/images/20070827-jb-consumption-gdp.gif

I'm not sure there is any blowback involved.

China is certainly further behind in capital infrastructure than the U.S. is so they can absorb more investments. Assuming that you are talking about absolute numbers, China is a much larger country so the per capita investment might be a more interesting measure.

Let me apologize in advance for posting some statements that challenge the usefulness of your entire career’s work.

Theories and discussion based on irrelevant data are irrelevant.

Citing BLS or any other Government data as a basis for real economic analysis or forecasting means your work is based on the assumption of facts "not in the record".

The important discussion should be, "Why can't economists with massive computer models and years of experience accurately predict economic performance on a regular basis?"

The answer is that the data relied upon for analysis is fundamentally inaccurate and flawed.

Statistical analysis of error propagation is the best condemnation of current economic theories.

Data sets with even minor assumptions filtered through aggregation curves (based on generally assumed standards) to produce a hypothetical index produces an error rate so high as to make any conclusions or forecasts completely irrelevant.

Economists should be spending their energies on determining how to collect valid data of what “economy” really means as opposed to grand pronouncements of their expertise and ability to predict the future.

The science of economic theory is just like string theory; a great idea with no way to prove its validity. Or perhaps more easily understood as the butterfly effect in weather; economics is really chaos theory with so many independent chaotic data points that any modeling is meaningless.

Perhaps I also wonder why TPM, a political blog, even has an economic theory discussion when the best we can hope for is opinion, not science and therefore no apparent relevancy to any political issues.

Economic theory at this point can be summed up as, “I hope I have more money than the other guy”. How and why that happens (other than perhaps immediate tax redistribution) is an unknown.

As of now, we have nothing but opinion on the majority of human behavior questions, whether teen sex or terrorism; why should economic activity be spared discussion because it's only opinion? But surely that is unfair; even the hard sciences have gray areas, especially in application. 

The point about chaos is apposite, but the analogy breaks down since weather can in fact be predicted at short range, and chaotic behavior does not need large numbers of variables, only a couple or three non-linear ones. But large-scale (low-resolution) prediction is possible over longer times. Individual humans can't be predicted, but aggregates can, in many cases, so economics as a statistical study is not empty, any more than is epidemiology.

I'm sympathetic to your complaint about extrapolation excess, but the statement about information not in the public record is not accurate. There is no alternative to government-compiled statistics, is there? And it is public-record, right?

"You think you dropped your keys up the block?"

"Right."

"So, why are you down here looking for your keys."

"Because that's where the light post is." 

Re: Now, we have no more domestic production to move so domestic productivity numbers aren't going to be getting any more big one-time bumps like that from us atleast.

Why would production in China have any effect on American productivity numbers? First off we are talking productivity, not profitability, so how much the workers are paid is irrelevant. Secondly, we are talking US productivity so hours worked in China would not be part of the calculation at all.

I'm not necessarily disagreeing with you, just saying that we would need to know the details of the methodology involved before we could claim that the numbers are "cooked" (or are simply inaccurate because of factors they do not account for). And as far as hours worked goes, with non-emept workesr it would not be possible to hide their overtime since they are paid for it, though with exempt (salaried) workers I am curious to know whether they are simply reported as flat 40-hr/week workers or an attempt is made to capture their real world hours. But if there is a some inaccracy (deliberate or otherwise) why would it abruptly go away in 2003? Did someone at the BLS develop a conscience? The real problem here is the abruptness of the data change, which makes any explantion problematic.

Hey, sometimes you get lucky.

You make some of my points for me.

"we have nothing but opinion on the majority of human behavior questions"

As you stated; economics is opinion and not the refined theory that it claims.

Weather predictions, even short range, are statements of large probabilities, i.e., 50% chance of rain. Expected temperatures are missed almost 95% of the time; they get close but it is not accurate. Now look at cloud cover prediction rates; again very large probabilities, i.e. partly cloudy. The accuracy of short term weather prediction is a myth. Is it close enough for most people to get by with it? Yes, but is it close enough for individuals that have a need for very reliable weather, such as farmers or construction or air traffic controllers, the answer is a resounding NO.

"But large-scale (low-resolution) prediction is possible over longer times." I challenge this in truly complex systems. We can use weather again; the farther into the future the forecast while still incorporating lower resolutions, accuracy drops significantly. Although all evidence of global warming is significant, the effects from predictive models are so widely variable that they change almost every day. Even low resolution predictions are at this point nothing more than guesses. Will the US get warmer and drier or warmer and wetter and will the southern hemisphere actually cool for awhile as some models predict?

To counter your statement about aggregates I remind you of the butterfly effect. Human aggregate behavior is not as statistically accurate as you would claim. It only takes the actions of a single individual to throw the predictions widely askew. Can you provide some examples of accurate predictions of human behavior in the aggregate? Almost all of the predictions have multitudes of caveats covering everything that throws the prediction out of range; if one happens to hit it right then the multitude that got it wrong are ignored.

Take away all of the caveats that set up the controlled variables in these predictions and betting on the horses will provide a better success rate.

"There is no alternative to government-compiled statistics, is there? And it is public-record, right?"

My statement was facts not in the record.

Facts and reported Government indexes are not equal. Mr. Bernstein held the post of deputy chief economist at the U.S. Department of Labor. If he can set aside his personal bias perhaps he can shed some light on how accurate he feels the reported indexes really are? My guess is that we will get an answer similar to, "the best numbers we can collect" which fails to answer the question of accuracy.

If I had a dollar for every economist with a different analysis I would be rich beyond the dreams of avarice.

To sum up, economics is a game. The economics society has established a set of indoctrination rituals that are taught at most colleges. The real life application of the game is for each economist to follow the rules of the game and then to roll the dice and make a prediction. When they are wrong they say, "I would have been right except for this unforeseeable data that I didn't have."

So for these reasons, I question having a discussion about something that isn't even real? Economic discussions should just start off with each person saying, "I wish this was true".

So what you meant is that compiled data are not facts. They are of course public record. I'm sympathetic to the complaint that economics reaches too far, but what's the alternative?

The butterfly effect is a misleading concept, partly because it is untestable, and partly because it suggests the wrong mechanism. When a weather researcher runing a simple three-variable model found his repeated runs varying by large amounts, he traced the cause to a rounding-off. This was the "sensitive dependence on initial conditions" and the strange attractor source. But the variables being rounded off were large-scale numbers, not something down in the noise.

The discovery did not show that weather was dependent in that way, only that a simple system could be unpredictable, because of the interdependence of the variables. It can be deterministic and unpredictable, both.

If one individual votes for Ralph Nader it is noise. If one individual buys one share of Microsoft, it's noise. If you want proof of the predictability of aggregates, look at political polling and market studies. Both deliver at pretty high accuracy. And consider actuarial tables. Life insurance companies are not failing right and left.

It's my understanding that the way that BLS calculates productivity is a pretty blunt instrument. They basically just look at the total value of sold or shipped goods and services industry by industry and divide that by the number of workers employed. I mean it's a little more involved than that but they don't actually look at where goods are produced, not even finished goods, let alone parts and sub-assemblies. So the company I work for is still classified as a manufacturer company and since we're still shipping more or less what we were four years ago and employing a few hundred less people to do it, we must be loads more productive now without those pesky factories.

What you said is quite valid, and a substantial part of this is the conflict between giving employees incentives to be valuable to the ongoing production, and increasing the share of net income going to managers (and secondarily shareholders) as a financial operation.

However, its not all incentives. For example, much of the "flexible workforce" management system involves tailoring the workforce to the demands of the day ... or sometimes, demands of the hour. However, that then leads toward organizing activity so that it can quickly be picked up, if necessary, by someone with little experience, as opposed to organizing activity so that it can benefit from experience.

Well, I think we might have to start pulling out our chalkboards in a minute.

Economic theory has no valid initial condition.

The alternative for economics reaching too far is too acknowledge that they really don't have any clue if what they are doing has any application to the real world.

Despite all of the best efforts of economists we are still doing the same routine of boom and bust that we have for centuries.

Perhaps, the alternative is just to say that monetary policy is nothing more than insurance to to keep the banks healthy and wealthy and in a crisis insure that the very top of the social pyramid stays intact.

Never discount the effect of the noise: GORE 2000.

Re: Re: They basically just look at the total value of sold or shipped goods and services industry by industry and divide that by the number of workers employed.

Then they aren't even measuring productivity. They should be using the number of hours worked not the number of workers! (Are you sure you didn't just make a typo there?) Also, even they are are measuring Chinese work, it's hard to see why there would be any less of it than US work-- are the Chinese inherently more productive than we are?

By the way, are there are good non-BLS figures on productivity? Seems to me major universities and top notch economists would be able to compile these figures too, so if the government were fudging they could be caught at it.

As someone whose training and profession lies outside the field of economics, perhaps I can more easily stand back and view the issue with fresh eyes. When it comes to discussion of issues like growth, competitiveness, productivity, I’ve long been puzzled by a couple glaring irrationalities that always seem to go unquestioned:

- …that a finite planet with fixed resources and carrying capacity (Buckminster Fuller’s “spaceship earth”) can nevertheless accommodate infinite, eternal growth. In a finite, closed system, growth in one sector comes at the expense of other sectors (or by increasing indebtedness).
- …that people, with limited time and resources, with limited storage capacity in their garages, nevertheless need an infinite amount of new “stuff”.
- …that much if not most economic “growth” these days consists merely of redistribution and concentration of existing wealth, not creation of new value (e.g. corporate mergers and acquisitions).

Clearly, any trend based on the above has an end-point, yet we tend to treat the economy as though it should be an eternally upward-sloping curve. Perhaps the worrisome signs that original posting cites are more than cyclical “blips” - perhaps the fundamentals of the game are about to change.

In his book “One Dimensional Man”, Herbert Marcuse observed that “…the institutions which served the struggle for existence cannot serve the pacification of existence. Life as an end is qualitatively different than life as a means.” Please at least consider the possibility that the growth/ competition/ consumption model - which worked so well in the past century - now serves us less and less well.

Perhaps Jared can expand on this, but it is my understanding that real wages were historically correlated with productivity but that this relationship broke down some in the early part of this decade. But if productivity is really dropping as drastically as the reported numbers and wages are somehow holding up it would appear that this development if anything has reversed.

Real wages have been historically correlated, but it is important to bear in mind that correlation is not causation ... indeed, "Granger causality" is not causation either ...

Rising productivity permits but does not enforce non-inflationary increases in real wages, because real wages can rise by the rate of productivity growth without an increase in average real wage costs per unit produced.

Looking at growth in wage and profit incomes as a share of growth in national income, rather than a roughly proportionate division of that income growth (after accounting for the procyclical nature of profit income), there has been disproportionate growth in profit income.

One reason for this is likely to be that there is substantially more unemployment than is reported. We ought to add our best estimate of quantitative underemployment ... those working part time but ready, able and most important seeking to work more ... and of hidden unemployment. Given a rising trend in the first number at the very least, a 4% headline unemployment rate in 2007 implies far more unemployment of available labor than a 4% headline unemployment rate would have implies in 1967, or even 1987.

One point that needs to be considered here is immigration.  We import a large number of people who are on average poor and whose jobs are generally lower on the productivity scale.  To get a really good sense of productivity growth, you would need to take all recent immigrants and compare their current productivity to that in their home country.   

 

"You say I'm a dreamer.  We're two of a kind.  Looking for some perfect world that we both know that we'll never find." - Thompson Twins, "Hold Me Now"

Hours worked is probably a better way of stating it, yes. My bad. I was relying mainly on memory of a discussion I heard on NPR a while back. But after posting that, I poked around a little and found this on the BLS web site. Based on just a quick read it looks like it pretty much is almost that simplistic. The pub does says they're starting to get into more complex, multi-factor modeling but that the amount of data required is somewhat daunting. Probably would not even have been possible before you could throw the kind of computing power at the problem that you can now.

Anyway, they're not measuring Chinese work. That was the whole point. Move a factory to China and the way the BLS calculates productivity (for the most part), it's as if you magically became more productive by acquiring the ability to conjure up manufactured goods out of thin air. Even if it takes more people in China to produce the same output of goods, it still takes fewer people here. (That might have been clearer in my first post if I'd been able to fix the missing close tag for italics in the first paragraph.)

I also got the impression listening to that NPR show that this is kind of an open secret -- something that not many people know but nobody's really hiding. Anyway the guy who was there advocating for outsourcing made no attempt to argue the point.

Re: Given a rising trend in the first number at the very least, a 4% headline unemployment rate in 2007 implies far more unemployment of available labor than a 4% headline unemployment rate would have implies in 1967, or even 1987.

Here I disagree. While it's quite likely there's a big uncertainty factor in the unemployment I see no reason whatsoever why that uncertainty should have been any less in years past. Moroever some of that uncertainty cuts the other way: the "underground economy" employs people off the books, notably imnmigrants, but also people collecting disability payments and other people who just don't want to pay taxes, and they are not counted in employment figures either. Also, just looking around the real world I live in, I see very few unemployed people (other than the retired). In fact many people seem to be working more than one job to make ends meet.

Good point. I was thinking about that too -- speaking of factors that could provide artificial boosts in apparent productivity. The more goods and services produced by workers who can't be reported, the more productive the workers that you do know about would tend to appear. But if something then happened to make it harder to employ those off-the-books workers, for example, crackdowns on illegal immigration in various forms, those artificial gains in productivity that came with them would of course be accordingly diminished.

All's I can add here is that while the current unemployment rate is reported as 4.6%, from the wage side of the ledger, you wouldn't know it.  There's little if any wage pressure, and if anything, there's been a slight deceleration in wage growth.  Wages, even after you add in benefits, after adjusting for inflation (which has been higher over the past few years) have been largely flat since late '03.

You'd generally expect more wage pressue at this level of unemployment.  I think the job market has more slack than that rate is suggesting.

The "who" in my comment had to do with nations, eg. China, India and others who have invested heavily in Engineering Education over the last 20 years or so, not with individual consumers.

-Dave Adams-

Another factor is declining educational levels in the US--are we running out of truly skilled workers?

I wouldn't call it running out, so much as failing to train a sufficient quantity of new skilled workers. Part of the problem is that young people know that in aggregate, manufacturing sector jobs are going to be outsourced, so why even go into the field?

-Dave Adams-

I think you have a good point, but it may apply more accurately to the other end of the working age demographic.

It seems to me that young people entering the workforce these days place a higher value on their personal time than in the past. In other words, they're less likely to put in gobs of unpaid overtime.

You could call it the "Well its not like I work at Google or anything" factor.

-Dave Adams-

That's another good point. But speaking from my own narrow perspective I think that may also be less true now than it was a year ago, at least in the tech sector in the Northeast and Northwest. I manage a small software development team and a year or two ago I could hire a pretty high level programmer for pretty reasonable money just about any time I wanted -- good thing too because our little corner of the tech sector doesn't pay as well in general as some do, but we do have really cool projects (if you happen to be a geek). But lately the well seems to have pretty much run dry. I was lamenting this fact to someone in HR recently and I was told they've been seeing the same thing happening across the board on both coasts over the last few months. I even had a decently competitive salary budgeted for a change and I still only filled my recent opening on a fluke.

Re: You'd generally expect more wage pressue at this level of unemployment.

Not necessarily. If the labor market is simply stable, with no real movement in either direction then you're not going to get a lot of pressure on wages one way or another. What creates pressure on wages is if the number of open jobs is growing relative to the work force. If both demand for labor and the supply of labor are holding more or less steady relative to one another then unemployment can indeed be very low with no real incentive for employers to raise wages.

While it's quite likely there's a big uncertainty factor in the unemployment I see no reason whatsoever why that uncertainty should have been any less in years past.

This is not a question of uncertainty. This is the changes in the structure of the labor market that we are aware of.

Headcount unemployment never corresponded precisely to the degree of unemployment of available labor. And the critical point is that the discrepancy between the headcount unemployment rate and the amount of unemployed labor in labor markets is tending to increase.

There may be uncertainty regarding the amount of additional unemployment represented in unemployed labor hours by part time workers desiring more hours, and the number of people among the hidden unemployed, but there is no reason to doubt that the those values are larger now than they were twenty and forty years ago, so that a headline unemployment rate today certainly represents more unemployment than the same rate in 1987 or 1967.

I'm sorry, but no one else has mentioned it, and I've got to deal with this:

An economist lands on a distant planet. He is greeted by alien emissaries. Anxious to learn about the planet, the economist questions the aliens. But instead of the classic “take me to your leader,” he inquires, “what is your trend productivity growth?” (This scares the aliens and they zap him into dust.)

This little allegory is designed to highlight the prominent position of productivity—output per hour worked—in the economists’ hierarchy.

That parable made absolutely no sense at all!!!

What was the point here? That economists should be killed on sight? That trend productivity growth scares aliens? That productivity is a defective and obsolete measure and a sure sign of primitive savagery to higher life forms? That economists are clueless and language impaired?

This is like those stupid inscrutable cartoons in the New Yorker that aren't actually funny or anything, but that we're all supposed to smile knowingly, as if it means something.

I recently saw a pretty dour productivity forecast by economist Dale Jorgenson which argued that in a few decades, most people in the workforce would be college educated, so that the increasing skill level of the workforce would cease to be a contributing factor to productivity growth...

I don't know about that.  Seems like there's always a lot to learn and lots of groups (immigrants, persons for less advantaged backgrounds) that will need access to higher educ for a long time coming.

What was the point here? That economists should be killed on sight?

No; but removing one arm from each -- their choice as to which one -- should be mandatory. 

You say there's no reason to doubt it, but I do doubt it because no one has made a convincing case that this is so. I don't recall any paucity of part-time jobs 20 years ago and what is a "hidden" unemployed person and how are they hiding and why was their hiding place not available 20 years ago?
The underlying argument in most cases is really political: George Bush is an awful president (and amen! brother) so the economy cannot possibly be even moderately decent, thus there must be A) hidden inflation and B) hidden unemployment.
But fortunately presidents do not control the economy (and thank god for that), in fact they have rather little influence over other than who they may appoint at the Fed. So it's quite possible to have the worst president ever, but also an economy that is at least muddling through in an acceptable manner.

You've got page A1 of today's NY Times to back your anecdotals:

Wages Rise in China as Young Workers Grow Scarce
By Keith Bradsher from Shenzhen

("Young" is in the story headline of the print edition, so I added it here.)

BTW, Jared Bernstein also made page A1 today! He's right across from that piece in paragraph 3 of

Census Shows a Modest Rise in U.S. Income
By Abby Goodnough



When an economist with his palms up chants the mantra, "On the one hand,
but on the other” some consider the "professional" to be considering
the opposing views and looking forthe best answer.

What is actual happening is a display of free market auctions at work.
The economist is holding an auction between the opposing views.

The bidders are those industries wanting their beneficial view to be the one chosen.
If questioned about these actions the economist answer,
“the free market brings forth the best answer.”


If you question this observation read the science article “A World of Eloquence in an Upturned Palm” on the New York Times Science and on the Most Popular section.

That simple gesture, the upturned palm, is one of the oldest and most widely understood signals in the world…… If that’s true, if human eloquence can be traced from a primal message signifying “Gimme,” I’m not sure what conclusion to draw about our species….. The human remnant of the crouch display is a shrug of the shoulders, which lowers the head and rotates the forearms outwards so that the palms face up…..

Another interpretation if feel that is supported by the article is that
economists do not know the answer.

They could signal, “I don’t know,” by holding both palms face up”……..



The article seems to me to support many theories, but here I sit
about to call a client on the speakerphone,
wishing for fulfillment,
with both palms up.



http://www.nytimes.com/2007/08/28/science/28tier.html?em&ex=1188532800&en=60f200def83ff583&ei=5087%0A


-----------------------------------------------
Today, are we searching for I deals or Ideals?
-Thinking

The underlying argument in most cases is really political: George Bush is an awful president (and amen! brother) so the economy cannot possibly be even moderately decent, thus there must be A) hidden inflation and B) hidden unemployment.

But the discrepency between headcount unemployment and actual unemployment was also wider under Clinton than in the 60's, and he did not suck as President nearly as bad as Bush does.

Already there are a lot of college educated individuals trying to make a living at just above minimum wage.

Waiters, Fast Food, Retail, Call Centers

The US produces large numbers of talented individuals with college degrees. In the past, liberal arts majors were hired by corporations for their critical thinking skills. Now you must have very narrow technical degrees for employment or PhD credentials for other fields.

Producing more engineers with college level only degrees is not the answer. Some type of corporate paid internships needs to be widespread to pay for engineers and others to continue their education in the real world with livable wages.

Management positions need to revert to picking up more broadly educated individuals rather than just narrowly focused Business majors.

Having large numbers of engineers won't fix anything unless we have pure science programs that provide employment. We need pure science so that the engineers have something to apply to the real world applications.

We have so focused on employing technology graduates as our saviors that we have forgotten the social investments in society in general that produces great creativity and knowledge.

I propose business majors should be required to first obtain a complete liberal arts degree before proceeding into a technocrat business degree. We need societal investment on living wage employment for individuals to pursue higher degree education in pure science. We need to value the contributions to society of the liberal arts.

We must also revamp our entire free trade policy into fair trade to recreate the higher wage production employment for those people pursuing that track instead of the college program.

All of these programs are quite easy to accomplish if we regain our country from the overly powerful large corporate masters and the incest with the military complex and large Wall Street financial gilded age gods.

It may be too late to rest our country back for the people unless there is some significant economic meltdown like the great depression to wake people up and unite them.

Social investment is the answer not just more engineers.

Well I agree with you that merely minting more Engineering graduates won't solve the problem of flat productivity. The fact that young people decline to go into Engineering is a merely a symptom.

Engineering is merely the practice of figuring out how to make things and then teaching other people how to make them. In order to increase productivity (i.e. making more things with the same effort or making the same things with less effort) you have to have better tools and better processes. One doesn't need an Engineering degree to come up with better tools or processses any more than one needs a literature degree to write a good novel. On the other hand knowing the subject well does help- a lot.

The problem is not so much a shortage of Engineers (or even Scientists) than a lack of interest in making things in this country. That comes down to a business decision, multipied millions of times over.

And yes, revamping Trade policy would help.


-Dave Adams-

Re: But the discrepency between headcount unemployment and actual unemployment was also wider under Clinton than in the 60's

I keep seeing this sort of thing asserted, but without a shred of evidence to back it up. Since (as far as I know) the methodology of deriving the figures has not chaned in a long time, why would the uncertainty factor be greater? Also, if the uncertainty factor is larger, doesn't that cut both ways (there could also be less unemployment than the numbers shows)?

So do you think protectionist trade policies will improve productivity?

Thanks for the links. I loved that line in the first article, "For decades, many labor economists said that China’s vast population would supply a nearly bottomless pool of workers. So many people would be seeking jobs at any given time, this reasoning went, that wages in this country would be stuck just above subsistence levels." Every bubble begins with a perpetual motion machine of some kind, doesn't it? They really should start requiring history courses in business schools.

Of course as costs rise in China on everything from labor, to raw materials, to electronic components (resistors, capacitors, transistors and ICs), to transportation, etc., Chinese contract manufacturers locked into unit pricing under old contracts will increasingly be looking for ways to cut corners -- paint substitutions come readily to mind -- and new contracts will inevitably be negotiated at higher prices. Rising prices in consumer goods might then tend to exert upward pressure on wages here as well.

In a comment below I described increased productivity as: "making more things with the same effort or making the same things with less effort". After thinking about it, I'd like to add: "or making some useful new thing that has never been made before".

I don't think anyone fully anticipated the economic impact of the personal computer or the internet. To address Dale Jorgenson's concern, if the mostly college-educated workforce of the future can continue to come up with innovations, then it seems to me that productivity growth can continue.

The problem is (at least I imagine to Economists who's job it is to forecast such things), there's no way to predict how and when breakthroughs will occur.

-Dave Adams-

I look at the cell phone and wonder about all the opportunities not missed, since being held up in traffic or missing a flight is not the killer it used to be. My colleagues in the freelance musician business used to depend on their answering machines, then their pagers, but now have cellphones or Blackberrys.

Of course, the cell phone has helped black markets equally, or more.

Since (as far as I know) the methodology of deriving the figures has not chaned in a long time, why would the uncertainty factor be greater?

Where in anything I wrote do you find anything regarding any uncertainty factor.

In particular, we have always known that the headline number is not an exact measure of unemployed labor resources, and so we have zero uncertainty that headcount unemployment does not now and has never had a one-to-one correspondence with unemployed labor resources.

The BLS documents the increase in part time employment for economic reasons (rather than by choice). It estimates discouraged workers and marginally attached workers. The increase in the share of the population age 25-64 receiving SSI DI from 1.6% in 1970 to 3.9% in 2004 is not an extrapolation based on "uncertainty".

There can certainly by uncertainty regarding the size of the growing discrepency, because estimating that requires using other partial measures to estimate the discrepency ... but there is no grounds for uncertainty regarding the direction of the change.

I keep seeing this sort of thing asserted, but without a shred of evidence to back it up.

and regarding evidence, you have already made an assertion that there has been no trend increase in part time employment for economic reasons, without a shred of evidence to back it up.

"Productivity" is a strange measure, the ratio of two quantities that are related only loosely. GDP can move for any number of reasons, and labor inputs can change for any number of reasons for fixed GDP, without any change in real productivity.

In the short term, changes in calculated productivity are MEANINGLESS. An example, a company fires half its customer service representatives because it has installed a robotic phone answering system. "Productivity" goes up but, as we all know, the company is worse off not better off than before.

Over a longer term, say ten years, "productivity" does mean something important. Over a 25 year period productivity is king.

Re: Where in anything I wrote do you find anything regarding any uncertainty factor.

When deriving any set of statistics there is a factor of uncertainty concerning the accuracy of the data: some "plus or minus X percent". If this is very large of course then the stats are pretty worthless. I'm not a mathematician and I forget the formal name for this uncertainty factor, but all I am asking is that you document it rather than simply asserting something about it without any evidence whatsoever except your own opinion.
As for "discouraged workers" how do you know they are "discouraged"? As the population ages more people will be leaving the workforce for retirement. And in some married couples it's not impossible that one will stay home, with the kids (I know two house-husbands by the way, so this is not a sexist concept). One thing is for sure: in the American economy it is impossible to survive unless one has a source of income (or someone who will share his/her income with you) and for nearly all of us the only source of income is work. The only other generally available income which pays (just) enough to survive on is social security, but that's only available for the elderly and the disabled. Both groups are increasing in numbers as the population ages, as I said. And it's not exactly unheard of for people collecting disability to work under the table (I certainly have known poeople who did that). Which of course brings up my point about the underground economy-- true, such jobs tend not to pay well or include benefits, but if someone is working for cash, should they be counted as "unemployed"?
Now, as for part time work I really have to wonder where you live and what you do. In my corner of the world the problem is the exact opposite: anyone with a full-time job frequently has more than a full-time since overtime is required and for many of us (exempt workers) that OT is unpaid. Also, to make ends meet, many people are forced to work odd jobs on the side in addition to a full time job because yes, it certainly is true, that work does not pay well enough in this country. You may wish to consider the stats about American workers having a serious deficit of leisure and vacation time before claiming that the lack of full time jobs is a problem.

Sigma factor, I believe. More data points yield a higher sigma.

I think that we shouldn't allow products to be imported and sold in this country if they come from a country that doesn't treat its workers at least as well as we treat our own.

It already works that way for Cuban cigars...

-Dave Adams-

Re inability to forecast breakthroughs: exactly.  Which is why longterm forecasts of productivity are not to be taken too seriously. 

And even if you could forecast technological breakthroughs, it wouldn't necessarily help.  Computers were around for years before their use started to show up in faster productivity growth. 

You would cut off trade with a good portion of the planet. Is that really in our long term interest?

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