Natural Experiments in the Effect of Party Politics on Economic Performance

As “Tyler Durden” puts it at ZeroHedge, “US Set For Epic Labor Market Experiment: Red States Vs Blue States“. The experiment has to do with the effect of the cessation of extended unemployment benefits on unemployment rates:

According to JPMorgan’s Daniel Silver, as of this moment some 23 – all republican – states have announced at least some form of early reduction in pandemic-related unemployment insurance benefits ahead of the September expiration at the federal level. These programs, he suggests, are likely limiting labor supply, generating a potential economic argument for ending these programs early….

So, while the left are desperately gaslighting that this is a skills or geographic mismatch, the chart above makes it clear that paying people to stay home is not good for growth (or social stability).

Which is why 23 (Republican) states have listened to their business owners and started to cut those benefits. In fact, as Mike Shedlock notes, that means around 3.5 million Americans will come off Pandemic emergency benefits in the next few weeks….

And since Democrats will likely not end UI benefits any time soon – or ever, if they could –  this sets up the US economy to become an epic real-time economic experiment, one where everyone can keep track of the unemployment across in Red states (most of which have ended their UI benefits), and blue states where claims will keep potential workers at home, pressuring unemployment rates….

By way of early confirmation of our thesis that government handouts are repressing the recovery by encouraging people not to work, according to an analysis published this week … job searches jumped by 5% the day each state announced its intent to pull out of the federal programs.

I have compiled some statistics from another natural experiment. They support the thesis that Republican-controlled States outperform Democrat-controlled ones economically.

Although the central government’s tentacles reach deep into every State’s economy, there is still latitude for State and local action — or lack thereof. Republican-controlled States should have somewhat freer economies than Democrat-controlled ones. (See, for example, the Tax Foundation’s 2020 Business Climate Tax Index.) Republican-controlled States should therefore be more growth-prone than Democrat-controlled ones. Regional statistics support this hypothesis:


Constructed from the regional data tool of the Bureau of Economic Analysis, starting here.

The red lines represent regions that are dominated by Republican-controlled States; the blue lines, regions dominated by Democrat-controlled States. The constituent States of each region are as follows:

Far West — Alaska, California, Hawaii, Nevada, Oregon, Washington

Southwest — Arizona, New Mexico, Oklahoma, Texas

Rocky Mountain — Colorado, Idaho, Montana, Utah, Wyoming

Southeast — Alabama, Arkansas, Florida, Georgia, Kentucky, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, Virginia, West Virginia

New England — Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont

Plains — Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, South Dakota

Mideast — Delaware, DC, Maryland, New Jersey, New York, Pennsylvania

Great Lakes — Illinois, Indiana, Michigan, Ohio, Wisconsin

Despite the Far West’s slight lead over the Rocky Mountain and Southwest regions, it is obvious that, on the whole, Republican-dominated regions have enjoyed much higher rates of growth than Democrat-dominated ones.

Not-So-Random Thoughts (XXV)

“Not-So-Random Thoughts” is an occasional series in which I highlight writings by other commentators on varied subjects that I have addressed in the past. Other entries in the series can be found at these links: I, II, III, IV, V, VI, VII, VIII, IX, X, XI, XII, XIII, XIV, XV, XVI, XVII, XVIII, XIX, XX, XXI, XXII, XXIII, and XXIV. For more in the same style, see “The Tenor of the Times” and “Roundup: Civil War, Solitude, Transgenderism, Academic Enemies, and Immigration“.

CONTENTS

The Real Unemployment Rate and Labor-Force Participation

Is Partition Possible?

Still More Evidence for Why I Don’t Believe in “Climate Change”

Transgenderism, Once More

Big, Bad Oligopoly?

Why I Am Bunkered in My Half-Acre of Austin

“Government Worker” Is (Usually) an Oxymoron


The Real Unemployment Rate and Labor-Force Participation

There was much celebration (on the right, at least) when it was announced that the official unemployment rate, as of November, is only 3.5 percent, and that 266,000 jobs were added to the employment rolls (see here, for example). The exultation is somewhat overdone. Yes, things would be much worse if Obama’s anti-business rhetoric and policies still prevailed, but Trump is pushing a big boulder of deregulation uphill.

In fact, the real unemployment rate is a lot higher than official figure I refer you to “Employment vs. Big Government and Disincentives to Work“. It begins with this:

The real unemployment rate is several percentage points above the nominal rate. Officially, the unemployment rate stood at 3.5 percent as of November 2019. Unofficially — but in reality — the unemployment rate was 9.4 percent.

The explanation is that the labor-force participation rate has declined drastically since peaking in January 2000. When the official unemployment rate is adjusted to account for that decline (and for a shift toward part-time employment), the result is a considerably higher real unemployment rate.

Arnold Kling recently discussed the labor-force participation rate:

[The] decline in male labor force participation among those without a college degree is a significant issue. Note that even though the unemployment rate has come down for those workers, their rate of labor force participation is still way down.

Economists on the left tend to assume that this is due to a drop in demand for workers at the low end of the skill distribution. Binder’s claim is that instead one factor in declining participation is an increase in the ability of women to participate in the labor market, which in turn lowers the advantage of marrying a man. The reduced interest in marriage on the part of women attenuates the incentive for men to work.

Could be. I await further analysis.


Is Partition Possible?

Angelo Codevilla peers into his crystal ball:

Since 2016, the ruling class has left no doubt that it is not merely enacting chosen policies: It is expressing its identity, an identity that has grown and solidified over more than a half century, and that it is not capable of changing.

That really does mean that restoring anything like the Founders’ United States of America is out of the question. Constitutional conservatism on behalf of a country a large part of which is absorbed in revolutionary identity; that rejects the dictionary definition of words; that rejects common citizenship, is impossible. Not even winning a bloody civil war against the ruling class could accomplish such a thing.

The logical recourse is to conserve what can be conserved, and for it to be done by, of, and for those who wish to conserve it. However much force of what kind may be required to accomplish that, the objective has to be conservation of the people and ways that wish to be conserved.

That means some kind of separation.

As I argued in “The Cold Civil War,” the natural, least stressful course of events is for all sides to tolerate the others going their own ways. The ruling class has not been shy about using the powers of the state and local governments it controls to do things at variance with national policy, effectively nullifying national laws. And they get away with it.

For example, the Trump Administration has not sent federal troops to enforce national marijuana laws in Colorado and California, nor has it punished persons and governments who have defied national laws on immigration. There is no reason why the conservative states, counties, and localities should not enforce their own view of the good.

Not even President Alexandria Ocasio-Cortez would order troops to shoot to re-open abortion clinics were Missouri or North Dakota, or any city, to shut them down. As Francis Buckley argues in American Secession: The Looming Breakup of the United States, some kind of separation is inevitable, and the options regarding it are many.

I would like to believe Mr. Codevilla, but I cannot. My money is on a national campaign of suppression, which will begin the instant that the left controls the White House and Congress. Shooting won’t be necessary, given the massive displays of force that will be ordered from the White House, ostensibly to enforce various laws, including but far from limited to “a woman’s right to an abortion”. Leftists must control everything because they cannot tolerate dissent.

As I say in “Leftism“,

Violence is a good thing if your heart is in the “left” place. And violence is in the hearts of leftists, along with hatred and the irresistible urge to suppress that which is hated because it challenges leftist orthodoxy — from climate skepticism and the negative effect of gun ownership on crime to the negative effect of the minimum wage and the causal relationship between Islam and terrorism.

There’s more in “The Subtle Authoritarianism of the ‘Liberal Order’“; for example:

[Quoting Sumantra Maitra] Domestically, liberalism divides a nation into good and bad people, and leads to a clash of cultures.

The clash of cultures was started and sustained by so-called liberals, the smug people described above. It is they who — firmly believing themselves to be smarter, on the the side of science, and on the side of history — have chosen to be the aggressors in the culture war.

Hillary Clinton’s remark about Trump’s “deplorables” ripped the mask from the “liberal” pretension to tolerance and reason. Clinton’s remark was tantamount to a declaration of war against the self-appointed champion of the “deplorables”: Donald Trump. And war it has been. much of it waged by deep-state “liberals” who cannot entertain the possibility that they are on the wrong side of history, and who will do anything — anything — to make history conform to their smug expectations of it.


Still More Evidence for Why I Don’t Believe in “Climate Change”

This is a sequel to an item in the previous edition of this series: “More Evidence for Why I Don’t Believe in Climate Change“.

Dave Middleton debunks the claim that 50-year-old climate models correctly predicted the susequent (but not steady) rise in the globe’s temperature (whatever that is). He then quotes a talk by Dr. John Christy of the University of Alabama-Huntsville Climate Research Center:

We have a change in temperature from the deep atmosphere over 37.5 years, we know how much forcing there was upon the atmosphere, so we can relate these two with this little ratio, and multiply it by the ratio of the 2x CO2 forcing. So the transient climate response is to say, what will the temperature be like if you double CO2– if you increase at 1% per year, which is roughly what the whole greenhouse effect is, and which is achieved in about 70 years. Our result is that the transient climate response in the troposphere is 1.1 °C. Not a very alarming number at all for a doubling of CO2. When we performed the same calculation using the climate models, the number was 2.31°C. Clearly, and significantly different. The models’ response to the forcing – their ∆t here, was over 2 times greater than what has happened in the real world….

There is one model that’s not too bad, it’s the Russian model. You don’t go to the White House today and say, “the Russian model works best”. You don’t say that at all! But the fact is they have a very low sensitivity to their climate model. When you look at the Russian model integrated out to 2100, you don’t see anything to get worried about. When you look at 120 years out from 1980, we already have 1/3 of the period done – if you’re looking out to 2100. These models are already falsified [emphasis added], you can’t trust them out to 2100, no way in the world would a legitimate scientist do that. If an engineer built an aeroplane and said it could fly 600 miles and the thing ran out of fuel at 200 and crashed, he might say: “I was only off by a factor of three”. No, we don’t do that in engineering and real science! A factor of three is huge in the energy balance system. Yet that’s what we see in the climate models….

Theoretical climate modelling is deficient for describing past variations. Climate models fail for past variations, where we already know the answer. They’ve failed hypothesis tests and that means they’re highly questionable for giving us accurate information about how the relatively tiny forcing … will affect the climate of the future.

For a lot more in this vein, see my pages “Climate Change” and “Modeling and Science“.


Transgenderism, Once More

Theodore Dalrymple (Anthony Daniels, M.D.) is on the case:

The problem alluded to in [a paper in the Journal of Medical Ethics] is, of course, the consequence of a fiction, namely that a man who claims to have changed sex actually has changed sex, and is now what used to be called the opposite sex. But when a man who claims to have become a woman competes in women’s athletic competitions, he often retains an advantage derived from the sex of his birth. Women competitors complain that this is unfair, and it is difficult not to agree with them….

Man being both a problem-creating and solving creature, there is, of course, a very simple way to resolve this situation: namely that men who change to simulacra of women should compete, if they must, with others who have done the same. The demand that they should suffer no consequences that they neither like nor want from the choices they have made is an unreasonable one, as unreasonable as it would be for me to demand that people should listen to me playing the piano though I have no musical ability. Thomas Sowell has drawn attention to the intellectual absurdity and deleterious practical consequences of the modern search for what he calls “cosmic justice.”…

We increasingly think that we live in an existential supermarket in which we pick from the shelf of limitless possibilities whatever we want to be. We forget that limitation is not incompatible with infinity; for example, that our language has a grammar that excludes certain forms of words, without in any way limiting the infinite number of meanings that we can express. Indeed, such limitation is a precondition of our freedom, for otherwise nothing that we said would be comprehensible to anybody else.

That is a tour de force typical of the good doctor. In the span of three paragraphs, he addresses matters that I have treated at length in “The Transgender Fad and Its Consequences” (and later in the previous edition of this series), “Positive Rights and Cosmic Justice“, and “Writing: A Guide” (among other entries at this blog).


Big, Bad Oligopoly?

Big Tech is giving capitalism a bad name, as I discuss in “Why Is Capitalism Under Attack from the Right?“, but it’s still the best game in town. Even oligopoly and its big brother, monopoly, aren’t necessarily bad. See, for example, my posts, “Putting in Some Good Words for Monopoly” and “Monopoly: Private Is Better than Public“. Arnold Kling makes the essential point here:

Do indicators of consolidation show us that the economy is getting less competitive or more competitive? The answer depends on which explanation(s) you believe to be most important. For example, if network effects or weak resistance to mergers are the main factors, then the winners from consolidation are quasi-monopolists that may be overly insulated from competition. On the other hand, if the winners are firms that have figured out how to develop and deploy software more effectively than their rivals, then the growth of those firms at the expense of rivals just shows us that the force of competition is doing its work.


Why I Am Bunkered in My Half-Acre of Austin

Randal O’Toole takes aim at the planners of Austin, Texas, and hits the bullseye:

Austin is one of the fastest-growing cities in America, and the city of Austin and Austin’s transit agency, Capital Metro, have a plan for dealing with all of the traffic that will be generated by that growth: assume that a third of the people who now drive alone to work will switch to transit, bicycling, walking, or telecommuting by 2039. That’s right up there with planning for dinner by assuming that food will magically appear on the table the same way it does in Hogwarts….

[W]hile Austin planners are assuming they can reduce driving alone from 74 to 50 percent, it is actually moving in the other direction….

Planners also claim that 11 percent of Austin workers carpool to work, an amount they hope to maintain through 2039. They are going to have trouble doing that as carpooling, in fact, only accounted for 8.0 percent of Austin workers in 2018.

Planners hope to increase telecommuting from its current 8 percent (which is accurate) to 14 percent. That could be difficult as they have no policy tools that can influence telecommuting.

Planners also hope to increase walking and bicycling from their current 2 and 1 percent to 4 and 5 percent. Walking to work is almost always greater than cycling to work, so it’s difficult to see how they plan to magic cycling to be greater than walking. This is important because cycling trips are longer than walking trips and so have more of a potential impact on driving.

Finally, planners want to increase transit from 4 to 16 percent. In fact, transit carried just 3.24 percent of workers to their jobs in 2018, down from 3.62 percent in 2016. Changing from 4 to 16 percent is a an almost impossible 300 percent increase; changing from 3.24 to 16 is an even more formidable 394 percent increase. Again, reality is moving in the opposite direction from planners’ goals….

Planners have developed two main approaches to transportation. One is to estimate how people will travel and then provide and maintain the infrastructure to allow them to do so as efficiently and safely as possible. The other is to imagine how you wish people would travel and then provide the infrastructure assuming that to happen. The latter method is likely to lead to misallocation of capital resources, increased congestion, and increased costs to travelers.

Austin’s plan is firmly based on this second approach. The city’s targets of reducing driving alone by a third, maintaining carpooling at an already too-high number, and increasing transit by 394 percent are completely unrealistic. No American city has achieved similar results in the past two decades and none are likely to come close in the next two decades.

Well, that’s the prevailing mentality of Austin’s political leaders and various bureaucracies: magical thinking. Failure is piled upon failure (e.g., more bike lanes crowding out traffic lanes, a hugely wasteful curbside composting plan) because to admit failure would be to admit that the emperor has no clothes.

You want to learn more about Austin? You’ve got it:

Driving and Politics (1)
Life in Austin (1)
Life in Austin (2)
Life in Austin (3)
Driving and Politics (2)
AGW in Austin?
Democracy in Austin
AGW in Austin? (II)
The Hypocrisy of “Local Control”
Amazon and Austin


“Government Worker” Is (Usually) an Oxymoron

In “Good News from the Federal Government” I sarcastically endorse the move to grant all federal workers 12 weeks of paid parental leave:

The good news is that there will be a lot fewer civilian federal workers on the job, which means that the federal bureaucracy will grind a bit more slowly when it does the things that it does to screw up the economy.

The next day, Audacious Epigone put some rhetorical and statistical meat on the bones of my informed prejudice in “Join the Crooks and Liars: Get a Government Job!“:

That [the title of the post] used to be a frequent refrain on Radio Derb. Though the gag has been made emeritus, the advice is even better today than it was when the Derb introduced it. As he explains:

The percentage breakdown is private-sector 76 percent, government 16 percent, self-employed 8 percent.

So one in six of us works for a government, federal, state, or local.

Which group does best on salary? Go on: see if you can guess. It’s government workers, of course. Median earnings 52½ thousand. That’s six percent higher than the self-employed and fourteen percent higher than the poor shlubs toiling away in the private sector.

If you break down government workers into two further categories, state and local workers in category one, federal workers in category two, which does better?

Again, which did you think? Federal workers are way out ahead, median earnings 66 thousand. Even state and local government workers are ahead of us private-sector and self-employed losers, though.

Moral of the story: Get a government job! — federal for strong preference.

….

Though it is well known that a government gig is a gravy train, opinions of the people with said gigs is embarrassingly low as the results from several additional survey questions show.

First, how frequently the government can be trusted “to do what’s right”? [“Just about always” and “most of the time” badly trail “some of the time”.]

….

Why can’t the government be trusted to do what’s right? Because the people who populate it are crooks and liars. Asked whether “hardly any”, “not many” or “quite a few” people in the federal government are crooked, the following percentages answered with “quite a few” (“not sure” responses, constituting 12% of the total, are excluded). [Responses of “quite a few” range from 59 percent to 77 percent across an array of demographic categories.]

….

Accompanying a strong sense of corruption is the perception of widespread incompetence. Presented with a binary choice between “the people running the government are smart” and “quite a few of them don’t seem to know what they are doing”, a solid majority chose the latter (“not sure”, at 21% of all responses, is again excluded). [The “don’t know what they’re doing” responses ranged from 55 percent to 78 percent across the same demographic categories.]

Are the skeptics right? Well, most citizens have had dealings with government employees of one kind and another. The “wisdom of crowds” certainly applies in this case.

The Unemployment Rate Isn’t 5.3 Percent, and It Didn’t Drop in June

For the latest, see this post.

The official unemployment rate dropped from 5.5 to 5.3 percent between May and June, while the real unemployment rate rose from 11.7 to 11.9 percent.

How can I say that the real unemployment rate is almost 12 percent, even though the official rate is only 5.3 percent? Easily. Just follow this trail of definitions, provided by the official purveyor of unemployment statistics, the Bureau of Labor Statistics:

Unemployed persons (Current Population Survey)
Persons aged 16 years and older who had no employment during the reference week, were available for work, except for temporary illness, and had made specific efforts to find employment sometime during the 4-week period ending with the reference week. Persons who were waiting to be recalled to a job from which they had been laid off need not have been looking for work to be classified as unemployed.

Unemployment rate
The unemployment rate represents the number unemployed as a percent of the labor force.

Labor force (Current Population Survey)
The labor force includes all persons classified as employed or unemployed in accordance with the definitions contained in this glossary.

Labor force participation rate
The labor force as a percent of the civilian noninstitutional population.

Civilian noninstitutional population (Current Population Survey)
Included are persons 16 years of age and older residing in the 50 States and the District of Columbia who are not inmates of institutions (for example, penal and mental facilities, homes for the aged), and who are not on active duty in the Armed Forces.

In short, if you are 16 years of age and older, not confined to an institution or on active duty in the armed forces, but have not recently made specific efforts to find employment, you are not (officially) a member of the labor force. And if you are not (officially) a member of the labor force because you have given up looking for work, you are not (officially) unemployed — according to the BLS. Of course, you are really unemployed, but your unemployment is well disguised by the BLS’s contorted definition of unemployment.

What has happened is this: Since the first four months of 2000, when the labor-force participation rate peaked at 67.3 percent, it has declined to 62.6 percent:

Labor force participation rate
Source: See next graph.

Why the decline, which had came to a halt during G.W. Bush’s second term but resumed in late 2008? The slowdown of 2000 (coincident with the bursting of the dot-com bubble) and the shock of 9/11 can account for the decline from 2000 to 2004, as workers chose to withdraw from the labor force when faced with dimmer employment prospects. But what about the sharper decline that began near the end of Bush’s second term?

There we see not only the demoralizing effects of the Great Recession but also the lure of incentives to refrain from work, namely, extended unemployment benefits, the relaxation of welfare rules, the aggressive distribution of food stamps, and “free” healthcare” for an expanded Medicaid enrollment base and 20-somethings who live in their parents’ basements.* Need I add that both the prolongation of the Great Recession and the enticements to refrain from work are Obama’s doing? (That’s on the supply side. On the demand side, of course, there are the phony and even negative effects of “stimulus” spending, the chilling effects of regime uncertainty, which has persisted beyond the official end of the Great Recession, and the expansion of government spending.)

If the labor-force participation rate had remained at its peak of 67.3 percent, so that the disguised unemployed was no longer disguised, the official unemployment rate would have reached 13.1 percent in October 2009, as against the nominal peak of 10 percent. Further, instead of declining to the phony rate of 5.3 percent in June 2015, the official unemployment rate would have stayed hovered between 11.7 percent and 13.6 percent.

In sum, the real unemployment rate was 3.1 points above the nominal rate in October 2009; the real rate is now 6.6 points above the nominal rate. The growing disparity between the real and nominal unemployment rates is evident in this graph:

Actual vs nominal unemployment rate
Derived from SeriesLNS12000000, Seasonally Adjusted Employment Level; SeriesLNS11000000, Seasonally Adjusted Civilian Labor Force Level; and Series LNS11300000, Seasonally Adjusted Civilian labor force participation rate. All are available at BLS, Labor Force Statistics from the Current Population Survey.

_________

* Contrary to some speculation, the labor-force participation rate is not declining because older workers are retiring earlier. The participation rate among workers 55 and older rose between 2002 and 2012. The decline is concentrated among workers under the age of 55, and especially workers in the 16-24 age bracket. (See this table at BLS.gov.) Why? My conjecture: The Great Recession caused a shakeout of marginal (low-skill) workers, many of whom simply dropped out of the labor market. And it became easier for them to drop out because, under Obamacare, many of them became eligible for Medicaid and many others enjoy prolonged coverage (until age 26) under their parents’ health plans.

*     *     *

Related posts:

Are We Mortgaging Our Children’s Future?
In the Long Run We Are All Poorer
Mr. Greenspan Doth Protest Too Much
Rationing and Health Care
The Fed and Business Cycles
The Commandeered Economy
The Perils of Nannyism: The Case of Obamacare
The Real Burden of Government
Toward a Risk-Free Economy
The Illusion of Prosperity and Stability
More about the Perils of Obamacare
Health Care “Reform”: The Short of It
The Mega-Depression
I Want My Country Back
The “Forthcoming Financial Collapse”
The Deficit Commission’s Deficit of Understanding
The Bowles-Simpson Report
The Bowles-Simpson Band-Aid
The Stagnation Thesis
Taxing the Rich
More about Taxing the Rich
Understanding Hayek
Money, Credit, and Economic Fluctuations
A Keynesian Fantasy Land
The Keynesian Fallacy and Regime Uncertainty
Why the “Stimulus” Failed to Stimulate
The “Jobs Speech” That Obama Should Have Given
Say’s Law, Government, and Unemployment
Regime Uncertainty and the Great Recession
Regulation as Wishful Thinking
Don’t Just Stand There, “Do Something”
The Commandeered Economy
The Burden of Government
Progressive Taxation Is Alive and Well in the U.S. of A.
Government in Macroeconomic Perspective
Keynesianism: Upside-Down Economics in the Collectivist Cause
The Economic Outlook in Brief
Is Taxation Slavery? (yes)
Taxes Matter
Economic Horror Stories: The Great “Demancipation” and Economic Stagnation
Economics: A Survey (also here)
Why Are Interest Rates So Low?
Vulgar Keynesianism and Capitalism
America’s Financial Crisis Is Now
The Keynesian Multiplier: Phony Math
The True Multiplier
Some Inconvenient Facts about Income Inequality
Mass (Economic) Hysteria: Income Inequality and Related Themes
Income Inequality and Economic Growth
A Case for Redistribution, Not Made
McCloskey on Piketty
The Rahn Curve Revisited
The Slow-Motion Collapse of the Economy
How to Eradicate the Welfare State, and How Not to Do It
The Real Burden of Government
Diminishing Marginal Utility and the Redistributive Urge
Obamanomics in Action (the first three graphs and related discussion)

Signature

The Obama Effect: Disguised Unemployment

Updated here.

Two takeaways:

  • The “official” unemployment rate of 5.6 percent is phony. The real rate is 12 percent, just 1.5 points below the 21st century high-water mark of 13.5 (reached in 2009, 2010, 2011, and 2013).
  • The real unemployment rate is disguised by the declining the labor-force participation rate, which has accelerated since the onset of Obamanomics. The decline is concentrated among younger workers, and has probably been helped along by Obamacare. (See the final paragraph of the post.)

Signature

The Obama Effect: Disguised Unemployment

Updated Here.

Two takeaways:

  • The “official” unemployment rate of 5.9 percent is phony. The real rate remains at 12.4 percent, just 1.1 points below the 21st century high-water mark of 13.5 (reached in 2009, 2010, 2011, and 2013).
  • The real unemployment rate is disguised by the continued decline of the labor-force participation rate — a decline that has accelerated since the onset of Obamanomics. The decline is concentrated among younger workers, and has probably been helped along by Obamacare. (See the final paragraph of the post.)

Signature

The Obama Effect: Disguised Unemployment

REVISED AND UPDATED 12/02/16 — A COMPANION PIECE TO “ECONOMIC GROWTH SINCE WORLD WAR II” (REVISED AND UPDATED 05/31/16)

By the measure of real unemployment, the Great Recession is still with us. Nor is it likely to end anytime soon, given the anti-business and anti-growth policies and rhetoric of the Obama administration.

Officially, the unemployment rate stands at 4.6 percent, as of November 2016. Unofficially — but in reality — the unemployment rate stands 6.6 percentage points higher at 11.2 percent. While the official unemployment rate has dropped by 5.4 percentage points from its peak in 2009, the real unemployment rate has dropped by only 2.3 percentage points since then.

No amount of “stimulus” or “quantitative easing” will create jobs when employers and entrepreneurs are loath to take the risk of expanding and starting businesses, given Obama’s penchant for regulating against success and taxing it when it is achieved. The job-killing effects of Obamacare will only worsen the situation. And, of course, taxing “the rich” is a sure way to hamper economic growth by stifling productive effort, innovation, and investment.

How can I say that the real unemployment rate is 6.6 percentage points above the real rate? Easily. Just follow this trail of definitions, provided by the official purveyor of unemployment statistics, the Bureau of Labor Statistics:

Unemployed persons (Current Population Survey)
Persons aged 16 years and older who had no employment during the reference week, were available for work, except for temporary illness, and had made specific efforts to find employment sometime during the 4-week period ending with the reference week. Persons who were waiting to be recalled to a job from which they had been laid off need not have been looking for work to be classified as unemployed.

Unemployment rate
The unemployment rate represents the number unemployed as a percent of the labor force.

Labor force (Current Population Survey)
The labor force includes all persons classified as employed or unemployed in accordance with the definitions contained in this glossary.

Labor force participation rate
The labor force as a percent of the civilian noninstitutional population.

Civilian noninstitutional population (Current Population Survey)
Included are persons 16 years of age and older residing in the 50 States and the District of Columbia who are not inmates of institutions (for example, penal and mental facilities, homes for the aged), and who are not on active duty in the Armed Forces.

In short, if you are 16 years of age and older, not confined to an institution or on active duty in the armed forces, but have not recently made specific efforts to find employment, you are not (officially) a member of the labor force. And if you are not (officially) a member of the labor force because you have given up looking for work, you are not (officially) unemployed — according to the BLS. Of course, you are really unemployed, but your unemployment is well disguised by the BLS’s contorted definition of unemployment.

What has happened is this: Since the first four months of 2000, when the labor-force participation rate peaked at 67.3 percent, it has declined to 62.7 percent:

labor-force-participation-rate
Source: See next graph.

Why the decline, which had came to a halt during G.W. Bush’s second term but resumed in late 2008? The slowdown of 2000 (coincident with the bursting of the dot-com bubble) and the shock of 9/11 can account for the decline from 2000 to 2004, as workers chose to withdraw from the labor force when faced with dimmer employment prospects. But what about the sharper decline that began near the end of Bush’s second term?

There we see not only the demoralizing effects of the Great Recession but also the lure of incentives to refrain from work, namely, extended unemployment benefits, the relaxation of welfare rules, the aggressive distribution of food stamps, and “free” healthcare” for an expanded Medicaid enrollment base and 20-somethings who live in their parents’ basements.* Need I add that both the prolongation of the Great Recession and the enticements to refrain from work are Obama’s doing? (That’s on the supply side. On the demand side, of course, there are the phony and even negative effects of “stimulus” spending, the chilling effects of regime uncertainty, which has persisted beyond the official end of the Great Recession, and the expansion of government spending.)

If the labor-force participation rate had remained at its peak of 67.3 percent, so that the disguised unemployed was no longer disguised, the official unemployment rate would have reached 13.5 percent in December 2009, as against the nominal peak of 10 percent in October 2009. Further, instead of declining to the phony rate of 4.6 percent in November 2016, the official unemployment rate would have stayed almost constant — hovering between 11 percent and 13.5 percent.

The growing disparity between the real and nominal unemployment rates is evident in this graph:

actual-vs-nominal-unemployment-rate
Derived from Series LNS12000000, Seasonally Adjusted Employment Level; Series LNS11000000, Seasonally Adjusted Civilian Labor Force Level; and Series LNS11300000, Seasonally Adjusted Civilian labor force participation rate. All are available at BLS, Labor Force Statistics from the Current Population Survey.

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* Contrary to some speculation, the labor-force participation rate is not declining because older workers are retiring earlier. The participation rate among workers 55 and older rose steadily from 1994 to 2014. The decline is concentrated among workers under the age of 55, and especially workers in the 16-24 age bracket. (See this table at BLS.gov.) Why? My conjecture: The Great Recession caused a shakeout of marginal (low-skill) workers, many of whom simply dropped out of the labor market. And it became easier for them to drop out because, under Obamacare, many of them became eligible for Medicaid and many others enjoy prolonged coverage (until age 26) under their parents’ health plans.

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Related reading:

Randall Holcombe, “Long-Term Unemployment Benefits Expire; Long-Term Unemployment Falls,” Mises Economics Blog, September 10, 2014

Arnold Kling, “The State of the Economy,” askblog, October 12, 2014

Stephen Moore, “Why Are So Many Employers Unable to Fill Jobs?The Daily Signal, April 6, 2015

Related posts: See the list here.

“Redness,” Unemployment, and the Election

“Redder” is better, generally speaking. For many reasons, including economic health. Using Bush’s average margin of loss or victory in 2004 and 2008 as an index of “redness” (and disregarding the anomalous 2008 race), here is the relationship between unemployment and a State’s degree of “redness”:


Derived from Bureau of Labor Statistics, Unemployment Rates for States (preliminary September estimates, issued 10/19/12), and official tabulations of popular votes by State. The correlation, though not strong, is statistically significant (less than 1-percent probability of occurring by chance).

The “outlier” on the left is the District of Columbia. DC, despite its predominantly black population, does not have an exceedingly high unemployment rate because the federal government and its contractors are havens of patronage and reverse discrimination. In any event, the omission of DC would strengthen the correlation, and would yield a more pronounced negative relationship between “redness” and unemployment: y = -0.0386x + 7.6566; R² = 0.1434.

I have seen some “news” stories which suggest that lower unemployment in swing States will help Obama. Such speculation strikes me as wishful thinking by left-biased media. In fact, of the  four States that seem to have swung to Romney — Florida, Missouri, North Carolina, and Virginia — the first three experienced better-than-average improvements in unemployment from a year earlier. A possible reason for this apparent anomaly is that voters know that there has been little change in the real rate of unemployment. Further, they also know that unless Obama is kicked out, things will not get better very soon, if ever.

Unemployment and Economic Growth

I just found this at an old blog of mine and decided to re-post it, with a few editorial changes. Perhaps I’ll get around to updating it, but the results given here should be robust because the data set consists of 117 observations (1891-2007).

An increase an the rate of unemployment usually signifies slower economic growth, but it need not signify negative economic growth. Alternatively, slower economic growth need not lead to a higher rate of unemployment. Why is that?

The key to economic growth is greater output per worker. (A note to leftists: Greater output may be due to capital investments.) A sufficiently large increase in productivity can offset a decline in the proportion of workers employed (i.e., a rise in the unemployment rate), with the result that real GDP can rise even as the unemployment rate rises.

Here is the historical relationship between the change in real, per-capita GDP and the change in the unemployment rate:


Sources: Rates of real, per-capita GDP derived from What Was the U.S. GDP Then? (http://www.measuringworth.org/usgdp/). Unemployment rates taken from Statistical Abstracts of the United States: Colonial Times to 1970, Series D85-D86 (http://www2.census.gov/prod2/statcomp/documents/CT1970p1-05.pdf) and Bureau of Labor Statistics, Employment Status of the Civilian Noninstitutional Population, 1942 to date (ftp://ftp.bls.gov/pub/special.requests/lf/aat1.txt).

There is, as one would expect, a negative relationship between economic growth (as measured by year-over-year changes in real, per-capita GDP) and unemployment (as measured by year-over-year percentage-point changes in the unemployment rate). But, note that the unemployment rate must rise by 1 percentage point (i.e. reach +1 on the horizontal axis) before real, per-capita GDP begins to decline (i.e., drop below 0 on the vertical axis).

Or, to look at it the other way around, declining real growth need not lead to a rising unemployment rate. Only when the real growth rate drops below 2 percent does the unemployment rate begin to rise (i.e., the change is 0 or positive). Why is that? At a growth rate below 2 percent, businesses cannot absorb all new entrants to the labor market, given their (generally) low productivity relative to experienced workers.