(What’s Left of) Our Economy: America’s Long-Time Productivity Slump Looks Like it’s Deepening

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CCP Virus, coronavirus, COVID 19, inflation, Labor Department, labor productivity, productivity, total factor productivity, wages, {What's Left of) Our Economy

Since strong productivity increases are America’s best hope for improving living standards, sustainable prosperity and robust non-inflationary economic growth, it’s clearly bad news that the nation may be on the edge of a productivity growth cliff – and staring into a canyon. That’s the clear message being sent by the new official U.S. preliminary data on labor productivity for the second quarter of this year released by the Labor Department this morning.

At least as bad: The lousy labor productivity figures strengthen the case that even though U.S. wages aren’t rising nearly as fast as living cost, they still could be fueling some of the torrid inflation of the last year and a half or so.

There’s a possibility that this dreadful performance is just another hangover from the CCP Virus pandemic and related lockdowns and curbs on individuals’ voluntary activity (along with the massive covid relief measures provided by Washington), which has played havoc with the entire economy and the data used to monitor its health. But it’s crucial to remember that the nation is also suffering a long-term productivity growth slump, so any virus distortions aren’t reflected in the numbers may not be game-changing.

As known by RealityChek regulars, labor productivity is the narrower of the two measures of efficiency tracked by Labor, and measures the output of each worker per each hour on the job. The Department itself made clear how awful the second quarter results were for the non-farm business sector – the numbers that are followed most closely:

“The 2.5-percent decline in labor productivity from the same quarter a year ago [actually, it was 2.55 percent] is the largest decline in this series, which begins in the first quarter of 1948.” (Actually, the Department’s own raw data tables go back to the first quarter of 1947.) Let’s all agree that a 75-year all-time worst is really alarming.

The quarterly figures were stomach-turning, too. Labor productivity sank at an annual rate of 4.71 percent sequentially – the fifth biggest such drop ever. Further, this followed on the heels of the first quarter’s sequential 7.64 percent nosedive – the second worst since the 12.26 percent crash of the third quarter of 1947.

And here’s some thoroughly depressing context: Such back-to-back quarterly declines are rare. Before that latest stretch, they – or longer labor productivity losing streaks – had only happened eleven times over the last three quarters of a century.

Two consecutive declines in labor productivity aren’t the longest such stretch on record. That dubious honor belongs to the five-quarter period between the second quarter of 1973 and the third quarter of 1974. But the latest cumulative quarterly deterioration of 12.26 percent at annual rates is the worst of all time. True, it’s just slightly greater than the 12.24 percent cumulative drop suffered during that 1973-74 productivity depression. But don’t forget – the current streak may not be over yet!

As for that 2.51 percent annual decline in labor productivity, the context here is completely gloomy, too. As with the sequential results, it represented the second straight worsening – following the 0.58 percent drop in the first quarter. And two or more straight annual labor productivity decreases have only happened six times before this morning’s release.

Also as with the quarter-to-quarter figures, a stretch of two straight decreases isn’t the longest ever. Between 1973 and 1974, annual productivity fell four consecutive times. But the current annual slump is the deepest since that which lasted between the first and third quarters of 1982. And of course, today’s slump isn’t over yet, either.

As I’ve written previously, productivity is the measure of economic performance in which most economists are least confident (especially in service industries that make up the vast bulk of the U.S. economy). Further, labor productivity is a narrower measure of efficiency than total factor productivity, which measures output as a function of a wide range of inputs used by business (not only workers but capital, technology, materials, etc.) And today’s second quarter results will be revised next month (which recently I mistakenly reported as the date for these preliminary numbers), with the latest set of (annual) revisions coming this fall.

But most legitimate doubts about the productivity data mainly concern their precision, not the direction they show. And all-time worsts and near-worsts surely can’t be mainly attributed to measurement flaws. And as for the total factor results, for decades, they’ve been no great shakes, either, as made clear in the above linked RealityChek post. Maybe the revisions will substantially brighten the picture?

So far, though, that’s just a “maybe.” The best information available indicates that America’s long-time productivity woes are taking a big turn for the worse, and that in combination with recent wage increases could be embedding unacceptably high inflation – and stagnating living standards – into the U.S. economy’s foreseeable future.

(What’s Left of) Our Economy: The Worst of All Possible Inflation Worlds for U.S. Workers?

Tags

ECI, Employment Cost Index, Federal Reserve, inflation, Jerome Powell, Labor Department, labor productivity, PCE, personal consumption expenditures index, productivity, recession, stagflation, wages, workers, {What's Left of) Our Economy

The newest report on a key official measure of worker compensation has just shown that, during today’s high inflation era, American workers could be both significantly fueling the soaring prices that are dominating the U.S. economy and getting shafted by them.

This measure – called the Employment Cost Index – is tracked by the Department of Labor, and is watched closely by the Federal Reserve (the government’s chief inflation-fighting agency) for two major reasons. First, it includes not just wages, but salaries and non-cash benefits. Second, unlike the Labor Department’s average wage figures, it takes into account what economists call compositional effects.

In other words, the those wage figures report hourly and weekly pay for specific sectors of the economy, but they don’t say anything about labor costs for businesses for the same jobs over time. The ECI tries to achieve this aim by factoring in the way that the makeup of employment between industries can change, and the way that the makeup of jobs within industries can change (e.g., from a majority of lower wage occupations to one of higher wage occupations).

In his press conference last Wednesday following the Federal Reserve’s announcement of a second straight big increase in the interest rate it controls directly, Chair Jerome Powell mentioned that the ECI report coming out on Friday would greatly influence the central banks’ decision on how much more tightening of credit conditions would be needed to slow the economy enough to cool inflation acceptably.

That’s because, as he has explained previously, the supposedly superior insights on worker pay provided by the ECI enable the Fed to figure out whether a major inflation engine has started to rev up – employee compensation rising faster than worker productivity. Industries (or entire economies) in this situation are denied the option of absorbing wage increases by achieving greater efficiencies in their operations Therefore, they face more pressure to maintain earnings and profits by passing pay increases onto their customers, their customers face more pressure to keep up with living costs by pushing for pay hikes themselves, and what economists term a classic and hard-to-break wage-price spiral takes off.

The new ECI results per se looked alarming enough from this perspective. They showed that between the second quarter of 2021 and the second quarter of 2022, total employee compensation for the private sector ose by 5.5 percent. That’s the fastest pace since this data series began in 2001. Moreover, this record represented the third straight all-time high. (RealityChek regulars know that private sector numbers are the most important gauge, since its pay and other indicators are mainly driven by market forces, unlike the statistics for government workers, where the indicators largely reflect politicians’ decisions.)

Sadly, though, according to the Fed’s favorite measure of consumer inflation (the Commerce Department’s Personal Consumption Expenditures price index), living costs increased by 6.45 percent. So workers fell further behind the eight ball.

Perhaps worst of all, however, productivity growth is in the toilet. We won’t get the initial second quarter figures until September 1, but during the first quarter, for non-farm businesses (the most closely followed measure for the private sector), it fell year-on-year by 0.6 percent – the worst such performance since the fourth quarter of 1993.

Nor was this figure a one-off for the current high inflation period. From the time consumer prices began their recent speed up (April, 2021) through the first quarter of this year, labor productivity is off by 1.36 percent, the ECI is up 3.95 percent, and PCE inflation has risen by 4.65 percent. So a strong case can be made that workers, businesses, and the economy as a whole are in the worst of all possible worlds.

Whenever productivity is the subject, it’s important to note that it’s the economic performance measure in which economists probably have the least confidence. And even if it’s accurate, don’t jump to blame workers for sloughing off. Maybe management is doing a lousy job of improving their productivity. Alternatively, maybe managers simply haven’t figured out how to do so in the midst of so many unusual challenges posed by the pandemic and its aftermath – chiefly the stop-go nature of the economy’s early aftermath, and the resulting turbulence that, along with the Ukraine war and China’s Zero Covid policy, is still roiling and stressing supply chains.

Whatever’s wrong, though, unless a course correction comes soon, it looks like the odds of the economy sinking into prolonged stagflation – roaring inflation and weak economic growth – are going up. And ultimately, that matters more to the American future than whether some form of recession is already here, or around the corner.

(What’s Left of) Our Economy: You Bet that Mass Immigration Makes America Less Productive

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amnesty, Bureau of Labor Statistics, construction, demand, Donald Trump, economics, Forward.us, hotels, illegal aliens, immigrants, Immigration, labor productivity, productivity, restaurants, supply, total factor productivity, wages, {What's Left of) Our Economy

An archetypical Washington, D.C. swamp denizen thought he caught me with my accuracy pants down the other day. Last Sunday’s post restated a point I’ve made repeatedly – that when countries let in too many immigrants, their economies tend to suffer lasting damage because businesses lose their incentives to improve their productivity – the best recipe for raising living standards on a sustainable, and not bubble-ized basis, as well as for boosting employment on net by fostering more business for most existing industries and enabling the creation of entirely new industries.

The reason mass immigration kneecaps productivity growth? Employers never need to respond to rising wages caused by labor shortages by buying labor-saving machinery and technology or otherwise boost their efficiency. Instead, they continue the much easier and cheaper approach of hiring workers whose pay remains meager because immigrants keep swelling the workforce.

It’s a point, as I’ve noted, strongly supported by economic theory and, more important, by evidence. But Todd Schulte, who heads a Washington, D.C.-based lobby group called Forward.us, wasn’t buying it. According to Schulte, whose organization was founded by tech companies like Facebook with strong vested interests in keeping U.S. wages low, “the decade of actual [U.S.] productivity increases came directly after the 1986 legalization AND 1990 legal immigration expansion!”

He continued on Twitter, “giving people legal status and… expanding legal immigration absolutely has not harmed productivity in the last few decades in the US.”

So I decided to dive deeper into the official U.S. data, and what I found was that although there are bigger gaps in the productivity numbers than I’d like to see, there’s (1) no evidence that high immigration levels following the 1986 amnesty granted by Washington to illegal immigrants and the resulting immigration increase mentioned by Schulte improved the national productivity picture over the pre-amnesty period; and (2) there’s lots of evidence that subsequent strong inflows of illegal immigrants (who Schulte and his bosses would like to see amnestied) have dragged big-time on productivity growth.

First, let’s examine the productivity of the pre-1986 amnesty decades, which provides the crucial context that Schulte’s claim overlooks.

According to U.S. Bureau of Labor Statistics figures, during the 1950s, a very low immigration decade (as shown by the chart below), labor productivity grew by an average of 2.63 percent annually. Significantly, this timespan includes two recessions, when productivity normally falls or grows unusually slowly.

Figure 1. Size and Share of the Foreign-Born Population in the United States, 1850-2019

During the 1960s expansion (i.e., a period with no recessions), when immigration levels were also low, the rate of labor productivity growth sped up to an annual average of 3.26 percent.

The 1970s were another low immigration decade, and average labor productivity growth sank to 1.87 percent. But as I and many other readers are old enough to remember, the 1970s were a terrible economic decade, plagued overall by stagflation. So it’s tough to connect its poor productivity performance with its immigration levels.

Now we come to the 1980s. Its expansion (and as known by RealityChek regulars, comparing economic performance during like periods in a business cycle produces the most valid results), lasted from December, 1982 to July, 1990, and saw average annual labor productivity growth bounce back to 2.24 percent.

As noted by Schulte, immigration policy changed dramatically in 1986, and as the above chart makes clear, the actual immigant population took off.

But did labor productivity growth take off, too? As that used car commercial would put it, “Not exactly.” From the expansion’s start in the first quarter of 1982 to the fourth quarter of 1986 (the amnesty bill became law in November), labor productivity growth totalled 10.96 percent. But from the first quarter of 1987 to the third quarter of 1990 (the expansion’s end), the total labor productivity increase had slowed – to 5.76 percent.

The 1980s are important for two other reasons as well. Nineteen eighty-seven is when the Bureau of Labor Statistics began collecting labor productivity data for many U.S. industries, and when it began tracking productivity according to a broader measure – total factor productivity, which tries to measure efficiency gains resulting from a wide range of inputs other than hours put in by workers.

There’s no labor productivity data kept for construction (an illegal immigrant-heavy sector whose poor productivity performance is admitted by the sector itself). But these figures do exist for another broad sector heavily reliant on illegals: accommodation and food services. And from 1987 to 1990 (only annual results are available), labor productivity in these businesses increased by a total of 3.45 percent – worse than the increase for the economy as a whole.

On the total factor productivity front, between 1987 and 1990 (again, quarterly numbers aren’t available), it rose by 1.23 percent for the entire economy, for the construction industry it fell by 1.37 percent, for the accommodation sector, it fell by 2.30 percent, and for food and drinking places, it increased by 2.26 percent. So only limited evidence here that amnesty and a bigger immigrant labor pool did much for U.S. productivity.

As Schulte pointed out, the 1990s, dominated by a long expansion, were a good productivity decade for the United States, with labor productivity reaching 2.58 percent average annual growth and total factor productivity rising by 10.87 percent overall. But when it comes to labor productivity, the nineties still fell short of the 1950s (even with its two recessions) and by a wider margin of the 1960s.

But did robust immigration help? Certainly not in terms of labor productivity. In accommodation and food services, it advanced by just 0.84 percent per year on average.

Nor as measured by total factor productivity. For construction, it actually dropped overall by 4.94 percent. And although it climbed in two other big illegal immigrant-using industries, the growth was slower than for the economy as a whole (7.17 percent for accommodation and 5.17 percent for restaurants and bars).

Following an eight month recession, the economy engineered another recovery at the end of 2001 that lasted until the end of 2007. This period was marked by such high legal and illegal immigration levels that the latter felt confident enough to stage large protests (which included their supporters in the legal immigrant and immigration activist communities) demanding a series of new rights and a reduction in U.S. immigration deportation and other control policies.

Average annual labor productivity during this expansion grew somewhat faster than during its 1990s predecessor – 2.69 percent. But annual average labor productivity growth for the accommodation and food services sectors slowed to 1.19 percent, overall total factor productivity growth fell to 1.19 percent, and average annual total factor productivity changes in accommodations, restaurants, and construcion dropped as well – to 6.36 percent, 2.67 percent, and -9.08 percent, respectively.

Needless to say, productivity grows or shrinks for many different reasons. But nothing in the data show that immigration has bolstered either form of productivity, especially when.pre- and post-amnesty results are compared. In fact, since the 1990s, the greater the total immigrant population, the more both kinds of productivity growth deteriorated for industries relying heavily on illegals. And all the available figures make clear that these sectors have been serious productivity laggards to begin with.

And don’t forget the abundant indirect evidence linking productivity trends to automation – specifically, all the examples I’ve cited in last Sunday’s post and elsewhere of illegal immigrant-reliant industries automating operations ever faster — and precisely to offset the pace-setting wage increases enjoyed by the lowest income workers at least partly because former President Trump’s restrictive policies curbed immigration inflows so effectively. 

In other words, in the real world, changes in supply and demand profoundly affect prices and productivity levels – whatever hokum on the subject is concocted by special interest mouthpieces who work the Swamp World like Todd Schulte.

(What’s Left of) Our Economy: More Evidence that Pay Really is Worsening U.S. Inflation

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ECI, Employment Cost Index, Federal Reserve, inflation, Labor Department, labor productivity, multifactor productivity, productivity, recession, wages, workers, {What's Left of) Our Economy

Back in February, I wrote that although U.S. workers’ hourly wages were rising more slowly than the standard measure of consumer prices (the Consumer Price Index, or CPI), and therefore on that basis couldn’t be blamed for the recent, historically high inflation, there was one reason to be worried about the last few years’ healthy pay hikes: Such pay was rising faster than worker productivity.

I explained that this trend inevitably fueled inflation because “when businesses are in situations where wages are rising but their operations are becoming more efficient at a faster rate, they can maintain and even increase profits without passing higher costs on to their customers. When productivity is rising more slowly than inflation, this option isn’t available – or not nearly as readily.”

And more important than my views on the subject, these concerns have been expressed by Jerome Powell, Chairman of the Federal Reserve, the U.S. central bank that has the federal government’s main inflation-fighting responsibilities.

So it’s discouraging to report that new government data on both pay and productivity have come out in the last two weeks, and they make clear that the pay-productivity gap has just been widening faster than ever.

The pay data come from the Labor Department’s latest Employment Cost Index (ECI), which tracks not only hourly wages but salaries and benefits, while the productivity figures come from Labor’s new release on labor productivity, which measures how much output a single worker turns out in a single hour. And conveniently, both releases take the story through the first quarter of this year.

The results? From the fourth quarter of last year through this year’s first quarter, total compensation for all private sector workers, the ECI increased by 1.42 percent, while labor productivity for non-farm businesses (the category most closely followed, and basically identical with the private sector) fell by 1.93 percent. That last number was labor productivity’s worst such performance since the third quarter of 1947. (As RealityChek regulars know, I focus on private sector workers because their pay levels largely reflect market forces, not politicians’ decisions, and consequently reveal more about the labor picture’s fundamentals.)  

The year-on-year statistics aren’t much better – if at all. Between the first quarter of last year and the first quarter of this year, the ECI for the private sector grew by 4.75 percent, but labor productivity dipped by 0.62 percent.

And since the U.S. economy began recovering from the first wave of the CCP Virus pandemic, during the third quarter of 2020, the private sector ECI is up by 6.61 percent, while labor productivity is down by 0.78 percent.

As also known by RealityChek readers, labor productivity isn’t the economy’s only measure of efficiency. Multifactor productivity is a broader, and therefore presumably more useful gauge. It’s not as easy to work with because its results only come out annually, and the latest only take the story up to the end of last year.

The picture is decidedly more encouraging – at least recently. From 2020-2021, multifactor productivity for non-farm businesses improved by 3.17 percent. But it still wasn’t good relatively speaking, since from the fourth quarter of 2020 through the fourth quarter of 2021, the private sector ECI increased by 4.38 percent.

Worse, from 2001 (when the Labor Department began the ECI) to last year, pay b that gauge was up 74 percent while non-farm business multifactor productivity had advanced by a mere 16.46 percent.  Therefore, clearly the recent pay and productivity numbers don’t simply stem from pandemic-related distortions of the economy. 

To repeat important points from last February’s post, the productivity lag doesn’t mean that U.S. workers overall don’t deserve nice-sized raises and better benefits, and it certainly doesn’t mean that they’re solely or largely to blame even for poor labor productivity growth. After all, managers are paid as handsomely as they are fundamentally to figure out how to make their employees more productive. Also, productivity is a barometer of economic performance that’s unusually difficult to determine precisely.

But the new figures do strengthen the case that labor costs bear significant responsibility for boosting inflation, and that a major fear surrounding overheated price increases – that inflation acquires powerful momentum as surging prices lead to big wage hike demands and vice versa, and create a spiralling effect that’s excuciatingly difficult to end without the Fed throwing the economy into recession. Just as depressingly, the new pay and productivity figures also strengthen the case that, unless the economy becomes a lot more productive very quickly, the sooner this harsh medicine is administered, the better for everyone in the long run.

(What’s Left of) Our Economy: A U.S. Productivity Report with Something for Everyone

Tags

CCP Virus, coronavirus, COVID 19, labor productivity, productivity, stay at home economy, technology, total factor productivity, Wuhan virus, {What's Left of) Our Economy

As known by RealityChek readers, I’m always hesitant to make too much of official U.S. productivity statistics because many economists believe that these various measures of efficiency are unusually hard to measure. (Google “productivity,” “data,” “measurement,” and “problems” and you’ll see what I mean.)

Moreover, I’ve been especially hesitant during the CCP Virus era, because the pandemic and related lockdowns and behavioral changes have been so unprecedented, and it’s still far from clear how lasting the effects will be.

Having said that, these data surely aren’t completely meaningless either, and a major finding of theirs has been so dramatic that it’s tough to dismiss: Both the relatively narrow measure of labor productivity, or the broader measure of total factor productivity show a big slowdown in productivity growth in recent decades.

For total factor productivity, here are the figures that compare the performance of non-farm businesses in percentage terms during the last three economic recoveries (i.e., using the best apples-to-apples data) before the CCP Virus-era bounceback that began in the third quarter of 2020:

1990s expansion (1991-2000): +10.34 percent

bubble decade expansion (02-07): +6.91 percent

post-Great Recession expansion (10-19): +4.88 percent

The main evidence for the slowdown is the fact that even though the latest expansion was the same length as that of the 1990s, its cumulative total factor productivity growth was less than half as strong.

In this context, it’s noteworthy today’s Labor Department release on total factor productivity (which, unlike labor productivity, tries to show business’ success in using a wide range of inputs – not just workers – to improve efficiency) has something for both optimists and pessimists.

Glass-half-full types will observe that, in 2021, total factor productivity grew by 3.17 percent – a record in a statistical series going back to 1987. The previous fastest annual pace was 1992’s 2.88 percent.

The glass-half-empty types, though, can argue that even this big advance won’t be enough to end the long-running slowdown. In the first place, the excellent 2020-21 impovement followed a 1.97 percent 2019-20 decrease that was the worst performance of all time. And in that vein, because solid total factor productivity increases are typical of early stages of an economic recovery, the 2021 year-on-year jump may only be a post-CCP Virus reversion to a dreary long-term mean.

The optimists can counter by claiming that pandemic-driven trends like severe labor shortages, consequently rising wages, and the advent of a work-at-home era in both the public and private sectors will push employers to invest more in labor-saving and communications technology in particular. The result will be a turning point in the recent crummy U.S. productivity story.

The only certainty I can see is that the virus is becoming endemic and that its economic growth-depressing effects will fade steadily (at least until the next pandemic). Other than that, I’ll simply say that the force of inertia alone indicates to me that the burden of proof for a durable productivity upswing – and for a needed U.S. transition from prosperity based on government stimulus to well-being with sturdier foundations – still lies with the optimists.

(What’s Left of) Our Economy: One Reason Wages May Indeed be Fueling U.S. Inflation

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business, consumer price index, ECI, Employment Cost Index, Federal Reserve, inflation, Jerome Powell, labor productivity, management, multifactor productivity, productivity, wages, workers, {What's Left of) Our Economy

As known by RealityChek regulars, I’ve pushed back strongly (e.g., here) against claims that today’s historically lofty levels of U.S. inflation have been driven largely or even significantly by wage costs. My main point: However healthy, if the wage increases American workers have gained recently lag behind the overall increase in prices across the entire economy – which has been the case – then how can they deserve much blame?

Even so, one other consideration needs to be added to the mix. It was mentioned by Federal Reserve Chair Jerome Powell in his press conference following the central bank’s announcement of its monetary policy decisions during the December meeting of its Open Market Committee (the partly rotating group of Fed governors that determines short-term interest rates and, more recently, the pace of bond buying or selling).

As Powell stated, the Fed is watching “the risks that persistent real wage growth in excess of productivity [growth] could put upward pressure on inflation.” That’s because when businesses are in situations where wages are rising but their operations are becoming more efficient at a faster rate, they can maintain and even increase profits without passing higher costs on to their customers. When productivity is rising more slowly than inflation, this option isn’t available – or not nearly as readily.

Powell also said that “we don’t see that yet.” But in fact, if you compare one measure of employee pay that he’s been watching closely with the most current measure of productivity growth, that’s exactly what you’ll see – and been happening consistently for two decades.

The pay gauge in question is the Employment Cost Index (ECI) created by the Labor Department. What’s especially useful about it is that is takes into account not only wages and salaries, but the full range of benefits workers receive. This data series goes back to 2001, and if you (1) look at the total compensation figures for all private sector workers (as always, I leave out government workers because their pay is determined largely by politicians’ decisions, not market forces) in pre-inflation terms, then (2) place them side-by-side with the inflation results, and then (3), check these against the Labor Department’s labor productivity results, it’s clear that pay has been rising considerably faster than productivity.

For example, during largely high-inflation 2021, the employment cost index (which is measured quarterly) rose on an annual basis during all four quarters.Yet during the second, third, and fourth quarters of last year, labor productivity by the same yardstick improved more slowly than the ECI. In other words, worker pay was rising faster than productivity.

Nor are these results atypical. In fact, from the first quarter of 2001 through the fourth quarter of last year, the ECI is up 74.12 percent but labor productivity is up jus 47.62 percent.

Another way to look at the subject: Before the fourth quarter ECI and labor productivity results came out (on January 28 and February 3, respectively), I looked at the annual changes in both sets of data for the third quarters of each year going back to 2001. During those 21 third quarters, annual productivity growth lagged annual ECI growth in 15.

It’s important to note that these conclusions don’t automatically justify assuming that worker compensation increases are a major driver of today’s inflation after all, much less that productivity growth’s relatively slow advance is employees’ fault. After all, as just noted, labor productivity has been rising more sluggishly than the ECI for two decades. Inflation didn’t take off until last year. Moreover, the labor productivity number reflects far more than the amount of physical and/or mental effort workers put into their jobs. It’s also a function of how well business owners perform – e.g., in terms of giving their employees the equipment and training they need to do their jobs effectively, and of organizing their companies in ways that maximize performance.

In addition, labor productivity isn’t the only gauge of efficiency monitored by the Labor Department. Multifactor productivity (also known as total factor productivity) is tracked, too. This data series, as its name implies, tries to determine efficiency by examining all the inputs that go into corporate operations – including not just person hours worked, but capital, energy, materials, and all the services that are used to produce goods and, yes, other services.

I haven’t compared the trends in the ECI and multifactor productivity, though, for one big reason: Because it depends on collecting so much more information, the multifactor productivity results come out much more slowly than the labor productivity reports. And the 2021 figures don’t seem to be due out for several months.

Finally, as I’ve also noted (see, e.g., here), most economists believe that productivity is one of the most difficult features of the economic landscape to measure. So the wage and productivity comparisons should be viewed with some non-trivial amount of caution. 

Yet if worker compensation is indeed rising faster than productivity, that’s a story that’s unlikely to end well for the U.S. economy. Maybe those multifactor productivity figures – whenever the heck they’re released – will provide some much needed further clarity. 

 

(What’s Left of) Our Economy: A Big Productivity Data Surprise

Tags

1990s expansion, Barack Obama, Labor Department, labor productivity, manufacturing, multi-factor productivity, Trump, {What's Left of) Our Economy

In a world that keeps reminding us it’s full of surprises both good and bad, why should official U.S. economic data – even data that rarely make headlines – be any different? So I suppose that I should have expected that the big news in a recent release on the broadest measure of productivity (which I was planning to write on basically in order to start closing the books on the Trump administration’s pre-CCP Virus economic record), turns out to be completely different than I could have foreseen. It has to do with the significantly revised – and worse – picture it draws of the U.S. economy’s performance in the 1990s, and specifically in manufacturing.

The new statistics from the Labor Department cover multi-factor productivity – which as the name implies, tries to measure efficiency according to how much in the way of all different kinds of inputs (like labor, capital, materials, and energy) are needed to generate a unit of output.

These figures attract less attention that the statistics that track the role of labor alone, because they come out much less often than the quarterly labor productivity numbers. But even given how much uncertainty surrounds the entire idea of gauging productivity, their breadth arguably makes them more important. And of course both measures of efficiency matter greatly because it’s been tough for anyone to figure out how a country achieves and maintains true economic health and sustainably rising living standards without strong productivity growth.

As known by RealityChek regulars, the best way to measure any economic trend or development entails comparing performance during similar phases of the economic or business cycle – that is, expansions or contractions. And before the latest manufacturing multi-factor productivity data came out (last Thursday), bringing the story through year-end 2019, here’s how the numbers for the last three expansions stacked up through 2018:

1990s expansion (1991-2000): +23.40%

bubble decade expansion (02-07): +11.74%

last expansion (10-18): -4.84%

So clearly, there’s not only been a big slowdown over time in manufacturing’s multi-factor productivity growth. During the expansion that was still underway through 2018, Americans had actually experienced multi-factor productivity decline.

Last Thursday’s report contained revisions, and although the slowdown story remained intact, look at the results for that 1990s expansion:

1990s expansion (1991-2000): +15.77 percent

bubble decade expansion (02-07): +11.72 percent

last expansion (10-18): -2.55 percent

Manufacturing’s multi-factor productivity growth turns out to have been about a third lower than previously thought. That’s huge! And the better figure for the latest expansion through 2018 doesn’t come close to compensating – especially since last year’s 1.6 percent annual drop dragged the expansion total decrease down to 4.14 percent.

But the revisions also shed new light on the Trump record per se, and in particular on its performance in multi-factor productivity terms versus that of the final three years of the Obama administration. And the Trump record comes out ahead.

Here’s what we knew along these lines before last Thursday’s report came out: The last two Obama years saw a total 3.18 percent drop in manufacturing multi-factor productivity, compared with a fractional 0.07 dip during the first two Trump years.

The new Labor Department revisions improve the Obama performance to a 3.03 percent decrease, but upgraded the Trump performance to a 1.56 percent increase.

And since these numbers now go through the end of 2019, they show that manufacturing multi-factor productivity over the last three Obama years sank by 1.95 percent, and over the first three Trump years declined by 0.11 percent (due to that lousy 2019).

Because as indicated above, measuring productivity growth is such an inexact science, and because the federal government’s career economists generally are so diligent, next year’s multi-factor productivity report could well contain still more surprising revisions. But as for that new dimmer view of the 1990s expansion, so often lauded as an economic near-Golden Age – I suspect it’s here for the duration.

Im-Politic: On the Economy, Obama’s Record Looks Stronger than Trump’s

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Barack Obama, CCP Virus, coronavirus, COVID 19, election 2020, Employment to Population Ratio, GDP, gross domestic product, Im-Politic, Jobs, Joe Biden, Labor Force Participation Rate, labor productivity, manufacturing, non-farm jobs, private sector, productivity, real GDP, real private sector, real wages, recession, subsidized private sector, Trump, value added, wages, Wuhan virus

Not surprisingly, as this U.S. presidential cycle gets ever more intense, so has the debate over which boasts a better record in helping steer the nation’s economy: the Obama administration in which Democratic presidential nominee Joe Biden served as second-in-command, or the incumbent Trump administration. I’ve just looked over some key data, and the verdict on most counts goes to the Obama administration. The margin of victory here isn’t huge, but it’s anything but razor thin, either. Moreover, any Obama edge is surprising given that the economy is President Trump’s major advantage in nearly all the polls.

All the same, here are the data. They compare performance during the last three full years of the Obama presidency and the first three full years of the Trump presidency. In my view, these time-frames deserve priority because they’re the ones closest to each other in the same expansionary business cycle, making apples to apples results much likelier.

The time-frames of course leave out the CCP Virus period, during which all the Trump numbers sank like stones. But if you regard the virus’ economic effects as purely artificial, having nothing to do with the economy’s fundamentals (as I do), then you want to strip them out.

Other methodological notes: Although the jobs-focused data come out from the federal government on a monthly basis, and therefore permit comparisons between completely identical (and virus-adjusted) three-year periods, the economic growth and productivity data don’t, so I show Trump results both through the first quarter of this year (affected by the shutdowns that began in March) and through the last quarter of 2019. In addition, regarding the monthly figures, because of the January 20 inauguration date, I peg the end of the Obama administration as January, 2017 and the beginning of the Trump administration as February, 2017.

And off we go, starting with overall employment, which consists of the Bureau of Labor Department’s U.S. employment universe – “non-farm jobs.”

Obama: +5.55 percent            Trump: +4.56 percent

But of course, non-farm jobs include all government jobs, and their status has much less to do with the economy’s underlying strengths and weaknesses than with politicians’ decision. So here are the numbers for private sector jobs.

Obama: +6.56 percent            Trump: +5.04 percent

So advantage Obama again. As RealityChek regulars know, however, not all private sector jobs are created equal. In fact, many barely deserve the term at all, because their circumstances depend so heavily on government spending. Healthcare is of course the leading example. Therefore, it’s useful to examine the employment results in what I’ve called the “real private sector”.

Obama +6.22 percent             Trump: + 4.63 percent

It’s another Obama out-performance. This string is broken when it comes to manufacturing jobs, however.

Obama: +2.38 percent           Trump: +3.78 percent

But Obama comes out ahead on inflation-adjusted wages for the entire private sector.

Obama +3.69 percent           Trump: +2.99 percent

And the margin is even bigger for real manufacturing wages.

Obama: +3.15 percent          Trump: +0.74 percent

One problem with looking at jobs gains or losses, or even the unemployment rate, is that these numbers don’t tell the whole story about the health of the labor market. To fill in the gaps, economists like to examine two performance measures called the Labor Force Participation Rate, and the Employment to Population Ratio.

The former, according to well regarded left-of-center economics think tank, reveals “the number of people in the labor force—defined as the sum of employed and unemployed persons—as a share of the total working-age population, which is the number of civilian, non-institutionalized people, age 16 and over.”

The latter, the same source explains, shows “the number of people currently employed as a share of the total working-age population, which is the number of civilian, non-institutionalized persons, age 16 and over.”

For what it’s worth, this reliable economics and finance website claims that the Employment to Population Ratio provides the best indication of job shrinkage or growth. So let’s begin there.

Obama: 58.8 percent to 59.9 percent       Trump: 59.9 percent to 61.1 percent

Pretty much a standoff.

As for Labor Force Participation:

Obama: 62.9 percent to 62.6 percent       Trump: 62.8 percent to 63.4 percent

Advantage, Mr. Trump.

As previously mentioned, the economic growth figures are only reported quarterly. Keeping that in mind, here’s how the two administrations stack up. The most commonly followed measure of the economy’s size and how it changes is inflation-adjusted gross domestic product (GDP).

Obama: +8.19 percent           Trump: +5.75 percent

These data, though, include shutdown-y March, 2020. Taking the story only through the end of 2019 brings the Trump years’ performance up to 7.11 percent – but he still trails.

Interestingly, even including the first quarter of this CCP Virus-y year, Mr. Trump’s record is slightly better when another metric for economic growth is used – value-added. Its value lies in trying to eliminate the double- and even more overcounting that results when the of the parts and other inputs of a complicated product are counted both when they’re turned out individually, and when they’re contained in that final product.

Obama: +12.09 percent          Trump: +12.24 percent

The Trump presidency’s margin is even bigger in manufacturing value-added, and even including the first quarter:

Obama: +7.09 percent            Trump: +10.58 percent

Importantly, all the above value-added numbers are pre-inflation. After-inflation value-added data are tracked by the federal government, too, but they’re not even measured on a quarterly basis. Only full-year numbers are available. So since these make precise comparisons less possible, I’m skipping them.

Finally, here are numbers that hardly ever make the news, but might be the most important of all – the productivity data. These various measures of efficiency are widely viewed by economists are crucial to determining how healthy and durable economic growth is and will be, and therefore how strongly and for how long living standards can rise.

Results aren’t up-to-date enough for the broadest measure of economic efficiency – multi-factor productivity. But they are for the narrower measure, labor productivity – which gauges how much a single worker can produce in a single hour on the job – starting with the overall economy

Obama: +3.97 percent           Trump: +3.95 percent

And if you want to remove the first quarter of this year, because of the virus effect in March, overall labor productivity during the Trump period was up 4.02 percent

Labor productivity is monitored for manufacturing, too, and here are those statistics including the first quarter of this year:

Obama: -2.57 percent           Trump: +0.29 percent .

Oddly, if the first quarter is removed, the Trump years’ performance worsens a bit – and even falls to an overall dip of 0.09 percent. But however poor, it still tops the record of the Obama years.

So why are the Trump economy poll numbers so good? One possible answer: The final year of the Obama presidency was feeble by nearly all measures. Real gross domestic product advanced by only 1.70 percent. Total employment grew by a mere 1.64 percent, versuss 2.19 percent in 2014. National manufacturing employment actually dipped by 6,000 from 2015 levels. Real wage growth overall slowed from 1.26 percent in 2014 to 0.56 percent in 2016. And inflation-adjusted manufacturing wages performed scarcely better.

Moreover, as the New York Times article linked above makes clear, the public’s evaluations of the Trump economic record are incredibly partisan – often conflicting with a respondent’s actual situation.

It’s also possible and legitimate, as I’ve noted, to point to some important reasons for this Trump under-performance.  The President’s trade policies clearly disrupted national and global supply chains, and the consequent inefficiencies surely dragged on GDP and employment in the short term.  Boeing aircraft’s safety woes have undercut national economic performance lately, too.  But good luck to you if you think these considerations are going to have any effect on voters.  

I’m hardly naive enough to think that these or other economic facts will be enough to determine November’s outcome. And I have no idea how voters will factor in the deep CCP Virus-induced recession into their thinking. But the facts aren’t a throwaway, either, and although the Obama record didn’t exactly thump Mr. Trump’s, it’ll certainly provide Biden with considerable ammunition.

(What’s Left of) Our Economy: U.S. Productivity Growth Keeps Lagging Historically, but has Bumped Under Trump

Tags

Barack Obama, election 2020, labor productivity, manufacturing, multifactor productivity, non-farm business, productivity, Trump, {What's Left of) Our Economy

Sure, they’re lagging indicators, and don’t tell us much, if anything, about whatever coronavirus effect the American economy might face. Still, today’s new U.S. government data on labor productivity both say something about where the economy has been until recently before pandemic fears hit, and provide a noteworthy point of comparison between the record of President Trump and his White House predecessor, Barack Obama. And although the news for the economy isn’t good at all (especially for manufacturing), the findings should cheer Mr. Trump and his supporters.

The figures, from the Department of Labor’s Bureau of Labor Statistics (BLS), cover labor productivity – a gauge of output of a good or service per each hour a worker has been on the job trying to create it. It’s the narrower of the two productivity measures calculated by BLS (the other, multifactor productivity, reports on output as a function of many more inputs, like capital and technology), but it’s released on a timelier basis. And the latest numbers not only bring the story up to the fourth quarter of last year (preliminarily). They also incorporate revisions – some of which go back to 1947!

As a result, it’s now possible to take a new look at the nation’s productivity performance during the last three economic recoveries – the most economically valid, apples-to-apples way of comparing trends over significant time spans.

And here’s where the news isn’t good, as will be made clear from the following two tables. The first shows the cumulative productivity changes during those last three expansions before these latest revisions:

                                                                        Non-farm business    Manufacturing

1990s expansion (2Q 1991-1Q 2001):              +23.74 percent      +45.86 percent

bubble expansion (4Q 2001-4Q 2007):             +16.59 percent      +30.23 percent

current expansion (2Q 09 thru final 3Q 19):     +12.74 percent        +9.42 percent

The second shows the same developments with the revisions.

                                                                         Non-farm business    Manufacturing

1990s expansion (2Q 1991-1Q 2001):              +23.75 percent        +44.68 percent

bubble expansion (4Q 2001-4Q 2007):             +16.58 percent        +30.92 percent

current expansion (2Q 09 thru final 3Q 19):     +12.74 percent          +6.32 percent

current expansion (2Q 09 thru prelim 4Q 19):  +13.44 percent          +6.11 percent

The big takeaway is that although the revisions leave the picture for both non-farm businesses (BLS’ main definition of the American economic universe) and manufacturing unchanged in terms of a long and substantial productivity slowdown, they downgrade manufacturing’s performance during the current recovery substantially. In fact, industry’s labor productivity growth is now reported to be about a third slower than previously thought.

Since it’s a presidential campaign year, I thought a Trump-Obama comparison would be appropriate, and here’s where the good news for Trump World, at the very least, comes in.

                                                                   Non-farm business          Manufacturing

last 12 Obama quarters                                 +3.31 percent                -2.27 percent

first 12 Trump quarters                                 +4.17 percent                -0.05 percent

The time frames used make sense because they represent identical numbers of quarters for each President that are also the closest to each other in the current (expansionary) business/economic cycle. The productivity performance under Mr. Trump hasn’t been gangbusters historically speaking for either sector of the economy. But it’s clearly been better than that registered during the most comparable Obama period.

Since most serious students of the economy agree that there’s lots of room for improvement in measuring productivity growth (especially for the services sectors), it would be quite the stretch for Mr. Trump to claim credit for these favorable numbers. Yet when have such substantive considerations ever stopped politicians from pretending they wield such power – for economic good or ill? So unless the productivity arrows start moving down markedly, Americans might finally hear something from the President about productivity before too long.

(What’s Left of) Our Economy: The State of the Union’s Productivity is Still Gloomy

Tags

Labor Department, labor productivity, manufacturing, productivity, State of the Union, Trump, {What's Left of) Our Economy

Hooray! Americans and the world just got a new batch of productivity data. You know – those statistics that everyone knowing anything about economics calls a key to sustainable national prosperity, but that are usually ignored when they’re issued even when impeachments and State of the Union speeches and presidential primaries aren’t dominating the headlines.

But as often been the case recently, the news on the whole discouraging. Non-farm businesses (the national economic universe as defined by the Labor Department, which tracks productivity) registered a better performance according to these preliminary figures for the fourth quarter of last year than for the third quarter. Yet the rate of year-on-year improvement slowed. Manufacturing’s figures, moreover, worsened over both time frames.

No better is the big picture revealed by these results: The U.S. economy remains smack in the middle of a major productivity slowdown, which augurs poorly for its ability to keep growing in a healthy (as opposed to a bubble-ized) way.

This productivity report measures labor productivity – the amount of output any sector of the economy or the entire economy can generate for each hour worked by each of its employees. It’s a narrower gauge of business efficiency than multi-factor productivity – which, as suggested by its name, records production as a function of a wide variety of inputs. But the labor number is reported on a timelier basis, and therefore tends to attract the most attention – when it attracts any attention at all!

According to the new release, labor productivity during the last three months of 2019 advanced by 1.40 percent at an annual rate. The final third quarter figure (which went un-revised)? A 0.20 percent annualized drop.

Moreover, on an annual basis, non-farm business labor productivity rose between 2018 and 2019 by 1.79 percent. That’s considerably faster than the 1.01 percent advance during the previous year.

Unfortunately, that’s where the good news stops. Labor productivity in domestic manufacturing – once the economy’s leader on this score (see the table below) – dropped sequentially for the third straight quarter. And this 1.20 percent annualized decrease was worse than the third quarter’s 0.26 percent annualized decline – which itself was revised down from a 0.10 percent increase.

Even worse is the latest year-on-year comparison. Between 2017 and 2018, manufacturing’s labor productivity rose by 0.60 percent – not terrific, but at least an improvement. Last year, it tumbled by 0.68 percent. That’s its worst such performance since 2014-2015’s 1.45 percent dive.

But if you really want to be bummed, check out the trends over the last three economic recoveries (including the current expansion, whose length, at least, keeps setting records). The ever weaker growth rates are troubling enough. Worse still is the slowdown’s acceleration (even in non-farm businesses if you take into account the length of the ongoing recovery.

                                                                         Non-farm business   Manufacturing

1990s expansion (2Q 91-1Q 01):                       +23.74 percent      +45.86 percent

bubble expansion (4Q 01-4Q 07):                      +16.59 percent     +30.23 percent

current expansion (2Q 09 thru prelim 4Q 19):   +13.19 percent      +5.98 percent

President Trump’s State of the Union address Tuesday night boasted about numerous economic achievement during his administration, and as noted in my analysis of yesterday’s U.S. trade figures, on some scores, he’s entitled to do so. But the speech never mentioned productivity, and given today’s new numbers, it’s easy to understand why.