- Icelandic GDP increased by 4.16% in 1987.
- Total labour supply rose by 6.7% in 1987 over the average of 1986 and 1988.
- This included an 8.6% increase in weeks of work supplied by those already in the labour market in 1986.

Celebrating humanity's flourishing through the spread of capitalism and the rule of law
15 May 2014 Leave a comment
in economic growth, labour economics Tags: Iceland, tax reform

14 May 2014 Leave a comment
in applied welfare economics, entrepreneurship, labour economics, liberalism, politics - USA, technological progress Tags: Piketty, poverty versus inequality
The French are poorer that the 3rd poorest American state: Arkansas. The EU-15 as a whole would qualify to be the 49th poorest American state.



The rich in Europe are poor by American standards. The poor in the USA are middle class by European standards. The European middle class has smaller houses, few cars and few consumers durables that the average poor in the USA.

via Super-Economy: Dynamic America, Poor Europe and Tino Sanandaji
12 May 2014 Leave a comment
in applied welfare economics, economic growth, Edward Prescott, great recession, labour economics, macroeconomics Tags: capital taxation, Edward Prescott, retirement savings, tax reform
Suppose the USA:
US Detrended GDP per Capita

Source: Edward Prescott and Ellen McGrattan 2013.
10 May 2014 1 Comment
in gender, history of economic thought, labour economics Tags: minimum wage, progressive era
The minimum wage is a rare policy bird. Its employment effects change at the whim of its latest proponents.
Minimum wages were initially introduced in the USA shortly after 1900 solely for women and children. The express aim was to price women out of jobs and raise men’s wages by enough so that they could provide for their families.
These days, some argue that minimum wages actually increase employment. Times change, and the slopes of supply and demand curves must change with them.
Tim Leonard in Protecting Family and Race The Progressive Case for Regulating Women’s Work showed that these women-only minimum wages were justified by political progressive including women on grounds that they would:
(1) Protect the biologically weaker sex from the hazards of market work;
(2) Protect working women from the temptation of prostitution;
(3) Protect male heads of household from the economic competition of women; and
(4) Ensure that women could better carry out their eugenic duties as “mothers of the race.”

The above photo from the Minnesota Post has the following caption:
Fuelled by the Progressive Era, Minnesota becomes one of the first dozen states to pass a law establishing work standards for women and children and established a Minimum Wage Commission.
Women-only minimum wage laws were held unconstitutional by the Supreme Court in 1923 but were upheld by a Progressive-dominated Supreme Court in 1937. In the 1930s depression, single-sex, state minimum-wage laws were revived and flourished.
Xenophobia, race prejudice, and sexism should come as no surprise to any student of left-wing politics. Progressive politics in the first half of the 20th century was infested with racism:
As Tim Leonard has shown, in days gone by, budding progressives not only revelled in exposes of capitalistic barons and attacks on laissez-faire economics by muckraking journalists, they also poured over racist tracts that drew on the latest anthropology, biology, psychology, sociology, eugenics, and medical science. Social Democrat Party Sweden practised eugenics until the 1960s.
07 May 2014 Leave a comment
in industrial organisation, labour economics, law and economics, liberalism, personnel economics, Public Choice, Richard Epstein
03 May 2014 Leave a comment
in human capital, industrial organisation, labour economics, technological progress Tags: Ben Jones, innovation, polymaths, renaissance man
Ben Jones in ‘The Burden of Knowledge and the Death of the Renaissance Man: Is Innovation Getting Harder? found that as knowledge accumulates as technology advances, successive generations of innovators may face an increasing educational burden.

Innovators can compensate through lengthening their time in education and narrowing expertise, but these responses come at the cost of reducing individual innovative capacities.
This has implications for the organization of innovative activity – a greater reliance on teamwork – and has negative implications for economic growth.
Jones found that the age at first invention, specialisation, and teamwork increased over time in a large micro-data set of inventors. Upward trends in academic collaboration and lengthening doctorates can also be explained in his framework.
Using data on Nobel Prize winners, Jones found that the mean age at which the innovations are produced to win the Prize has increased by 6 years over the 20th Century.
It’s now taking longer for scientists to get their basic training and start their careers. There is simply more to learn because knowledge in all fields has grown by quantum leaps in the past century.
Nobels are being handed out for different types of work than a century ago.
Jones’ theory provides an explanation for why productivity growth rates did not accelerate through the 20th century despite an enormous expansion in collective research effort and levels of education and many more graduates.
The more experienced readers of this blog might remember that the better of their professors seemed to be masters of the entire field of economics and could teach almost any subject.
These days, too many professors rely on textbooks with annual editions that come with the lecture notes, assignments and test-banks written for them by the publishing company.
Are there any polymaths left? Posner? Tullock?
02 May 2014 Leave a comment
in entrepreneurship, human capital, labour economics Tags: Bill Gates, Piketty, top 1%, top talent
Bill Gates once said:
You take away the top 20 employees of Microsoft, we’ll just be an ordinary company. Top employees are what makes us.
via Gary Becker on Human Capital | Atanu Dey On India’s Development.
28 Apr 2014 Leave a comment
in applied welfare economics, labour economics, politics - New Zealand Tags: family tax credit, fatal conceit, living wage, pretence to knowledge
Why not just increase the family tax credit? That would increase the incomes of poor families without putting their jobs at particular greater risk.

The local calculation of the living wage includes cable TV and an overseas holiday.
Milton Friedman provides some critical truths on the living wage:
Do-Gooders believe passing a law saying nobody shall get less than [a minimum wage] is helping poor people (who need the money).
You’re doing nothing of the kind.
What you’re doing is to ensure that people whose skills do not justify that wage will be unemployed.
28 Apr 2014 Leave a comment
in labour economics, macroeconomics
Error 1: Use of Pre-Tax, Pre-Transfer Income to Measure Inequality. Throughout the report, the IMF uses the concept of “market income” to measure inequality. Market income is defined as income before taxes are paid to the government, and before transfers from the government to low-income individuals…
Error 2: More Inequality Leads to Lower Mobility. … Data from University of Ottawa professor Miles Corak on the United States, Canada, and Sweden suggest that more inequality is associated with higher mobility, not less mobility. Winship’s findings echo those of Harvard University economist Raj Chetty, who found little association between the share of income of the top one percent and mobility, either in the United States or between different countries…
Error 3: Tax Increases Lead to Higher Economic Growth… If transfers of income from one group to another succeeded in creating economic growth, the fastest-growing countries would be those with the highest top tax rates. As Nobel Prize-winning economist Edward Prescott has shown, the reverse is true.
26 Apr 2014 Leave a comment
in applied welfare economics, labour economics, welfare reform Tags: 1996 federal welfare reforms, Rebecca Blank, Robert Doar
In the National Review, Robert Doar set-out these from his time as commissioner of the New York City social service agency between 2007 and 2013:
Figure 1: WELFARE CASELOADS AND RECIPIENTS (AFDC AND TANF PROGRAMS), IN THOUSANDS

Source: Administration for Children and Families, TANF caseload data, 2011.
I should add that after the 1996 federal welfare reforms in the USA that time limited life-time federal welfare receipt to 5-years, the 2/3rd decline in welfare participation and the gains in employment were largest among the single mothers previously thought to be most disadvantaged: young (ages 18-29), mothers with children aged under seven, high school drop-outs, and black and Hispanic mothers. These low-skilled single mothers were thought to face the greatest barriers to employment. Blank (2002) found that:
nobody of any political persuasion predicted or would have believed possible the magnitude of change that occurred in the behaviour of low-income single-parent families.
21 Apr 2014 Leave a comment
in applied welfare economics, behavioural economics, economics of regulation, industrial organisation, labour economics, Public Choice Tags: Chris Dillow, Thomas Sargent
1. People have different motivations: wealth, power, pride, job satisfaction and so on. Incentive structures which suit one set of motives might not work for another.
2. Many things are true but not very significantly so.
3. Power matters: conventional economics under-states this.
4. Luck matters. The R-squareds in Mincer equations are generally low.
5. There is a great deal of ruin in a nation, and in an organization.
6. Individual rationality sometimes produces outcomes which are socially optimal as in Adam Smith’s invisible hand, and sometimes not.
7. Trade-offs between values are more common than politicians pretend, but are not ubiquitous.
8. Cognitive biases are everywhere.
9. Everything matters at the margin, but the margin might not be very extensive.
10. The social sciences are all about mechanisms. The question is: which ones work when and where? This means there are few if any universal laws in the social sciences; context matters.
11. Accurate economic forecasting is impossible. But time-varying risk premia might give us a little predictability.
12. Risk comes in many types. Reducing one type of it often means increasing exposure to another type.
Chris Dillow at Stumbling and Mumbling: 12 alternative principles.
13 Apr 2014 Leave a comment
in human capital, labour economics, occupational choice, politics - USA Tags: gender wage gap, lies dam lies and statistics, obama
The fact checker at the Washington Post said:
Few experts dispute that there is a wage gap, but differences in the life choices of men and women — such as women tending to leave the workforce when they have children — make it difficult to make simple comparisons.
…From a political perspective, the Census Bureau’s 77-cent figure is golden. Unless women stop getting married and having children, and start abandoning careers in childhood education for naval architecture, this huge gap in wages will almost certainly persist. Democrats thus can keep bringing it up every two years.
…There appears to be some sort of wage gap and closing it is certainly a worthy goal. But it’s a bit rich for the president to repeatedly cite this statistic as an “embarrassment.” …The president must begin to acknowledge that “77 cents” does not begin to capture what is actually happening in the work force and society.
12 Apr 2014 2 Comments
in applied welfare economics, economics of education, human capital, labour economics, personnel economics Tags: Bryan Caplan, credentialism, human capital, signaling and screening, signalling
Bryan Caplan says that:
When you actually experience education, though, it’s hard not to notice that most classes teach no job skills.
The labour market heavily rewards educational credentials even though academic curriculum is seriously disconnected from the jobs people actually do.
The best explanation for this strange fact is that education is a strong signal of pre-existing worker productivity.
Caplan argues with annoying persuasiveness that education signals desirable employee traits such as intelligence, conscientiousness, conformity and a willingness to learn boring things:
His particular focus is the educational psychology literature on the transfer of learning. That literature started long ago with the question did learning Latin give you muscle to learn other subjects. The educational psychology literature has been looked at the transfer of learning for 100 years.
Educational psychologist found that Latin does not help much in studying other languages and other subjects. No significant differences were found in deductive and inductive reasoning or text comprehension among students with 4 years of Latin, 2 years of Latin, and no Latin at all.
The trouble is you do this in a race and many try to win the race by lengthening the race by going to and spending more time at university such as taking honours and master’s degrees etc.
Grades do not signal anything in Japan because everyone graduates with an A. It is the lecturer’s fault if you fail.
Japanese universities and employers make up for this everyone gets a A with strict entrance exams.
Getting into a top university signals intelligence and conscientiousness in preparing for their entrance exam. Few go to graduate school in Japan, preferring to learn more on the job.
Japanese students are lazy because everyone passes and therefore grades signal little in the way of intelligence, conscientiousness, conformity to employers.
I had great trouble getting my Japanese students to come to class. Other lecturers got around this by giving marks for attendance and replacing final exams with a pop quiz at the start of every class.
Nonetheless, something of value is acquired through 4-years at a Japanese university because otherwise why not skip straight from passing a university entrance exam to the employer exams.
The crucial objection to Caplan is that if most education expenditures are primarily about signalling, it should be possible to find other, cheaper ways to signal desirable traits to employers. As Bill Dickens noted:
For one thing I find it very hard to believe that we would waste so many resources on a nearly unproductive enterprise.
There are plenty of entrepreneurs out there trying to make money by selling cheaper, in time and money, versions of education and they aren’t very successful.
Mainstream schools have experimented with programmed learning, lectures on video, self-paced learning, etc. and none of the methods have caught on. Why wouldn’t they if they worked?
The spread of charter schools is an example of the rapid diffusion of an educational innovation valued by parents.
A major driver of the doubling of college tuition fees in the U.S. is demand for greater quality. As Becker and Murphy explain:
Indeed, it appears that the increases in tuition were partly induced by the greater return to college education. Pablo Peña, in a Ph.D. dissertation in progress at the University of Chicago, argues convincingly that tuition rose in part because students want to invest more in the quality of their education, and increased spending per student by colleges is partly financed by higher tuition levels
What specific and general skills are learnt at school and at university matters too, as Bill Dickens explains:
Education isn’t mainly about learning specific subject matter.
Rather education is mainly about practicing the sort of self-discipline that is necessary to be productive in a modern work environment.
High school allows you to practice showing up on time and doing what you are told.
College allows you to practice and work out techniques that work for you that allow you to take on and complete on time complicated multi-part tasks in an environment where you have considerable freedom about how you spend your time.
Some people may be more talented than others at this sort of thing (you come to mind as someone who is particularly talented at self-discipline), but this is also an acquired skill that one can develop with practice, and everyone needs to develop certain work habits that make one more productive at both types of tasks.
The debate really turns on the extent to which it is possible to find easier and cheaper ways to signal conscientiousness and conformity. As Bill Dickens noted as his fall-back position, which is based on comparative institutional analysis:
most of the return to education is due to it signalling desirable characteristics, but that there is no more efficient way to sort the capable from the incapable.
I also think that signalling performs a valuable sorting function that no alternative process can out-compete. But, as Caplan notes, a conventional education benefits from large government and private subsidies as compared to other sorting devices.
Table of Contents – The Case Against Education – Bryan Caplan
Introduction
Chapter 1: The Magic of Education
Chapter 2: Useless Studies with Big Payoffs: The Puzzle Is Real
Chapter 3: Signalling Explained
Chapter 4: Measuring Signalling
Chapter 5: Who Cares If It’s Signalling? The Private, Familial, and Social Returns to Education
Chapter 6: Is Education Good for the Soul?
Chapter 7: We Need Lots Less Education
Chapter 8: We Need More Vocational Education
Conclusion
The Book’s basic plot:
The labor market heavily rewards educational credentials even though academic curriculum is seriously disconnected from the jobs people actually do. The best explanation for this strange fact is that education is a strong signal of pre-existing worker productivity. (chapter 1)
While the return to education is often overstated, it remains high after making various statistical adjustments. Degrees in useless subjects really do substantially raise wages. (chapter 2)
Education signals a package of desirable employee traits: intelligence of course, but also conscientiousness and conformity. Many people dismiss the signalling model on a priori grounds, but educational signalling is at least as plausible as many widely accepted forms of of statistical discrimination. (chapter 3)
Empirically distinguishing signalling from human capital is notoriously difficult. But literatures on the sheepskin effect, employer learning, and the international return to education confirm that signalling is moderately to highly important. (chapter 4)
How much education should you get? The human capital-signalling distinction isn’t important at the individual level, but the policy implications are enormous. (chapter 5)
The non-pecuniary benefits of education are over-rated, and the non-pecuniary costs (especially boredom) are under-rated. There’s a massive selection bias because the kind of people who hate school rarely publicize their complaints. (chapter 6)
The most important implication of the signalling model is that we spend way too much money on education. Education spending at all levels should be drastically reduced, and people should enter the labor force at much younger ages. (chapter 7)
The education we offer should be more vocational. Especially for weaker students, vocational education has a higher private and social return than traditional academic education. (chapter 8)
Caplan has also posted this nice topology below to allow you to select your starting point:
| Model | Effect of Education on Income | Effect of Education on Productivity | Notes |
| Pure Human Capital | WYSIWYG
(What You See Is What You Get) |
WYSIWYG | Education may raise productivity by directly teaching job skills, but character formation, acculturation, etc. also count. |
| Pure Ability Bias | Zero | Zero | “Ability” includes not just pre-existing intelligence, but pre-existing character, acculturation, etc.
Pure Ability Bias is observationally equivalent to a Pure Consumption model of education. |
| Pure Signalling | WYSIWYG | Zero | Pure educational signalling can consist in (a) learning and retaining useless material, (b) learning but not retaining material regardless of usefulness, (c) simply wasting time in ways that less productive workers find relatively painful, leading to a positive correlation between education and productivity. |
| 1/3 Pure Human Capital, 1/3 Pure Ability Bias, 1/3 Pure Signalling |
2/3*WYSIWYG | 1/3*WYSIWYG | A good starting position for agnostics. |
| 0.1 Pure Human Capital, 0.5 Pure Ability Bias, 0.4 Pure Signalling |
.5*WYSIWYG | .1*WYSIWYG | Caplan’s preferred point estimates. He knows they’re extreme, but his book will explain his reasons and try to win you over. |
Celebrating humanity's flourishing through the spread of capitalism and the rule of law
Celebrating humanity's flourishing through the spread of capitalism and the rule of law
Celebrating humanity's flourishing through the spread of capitalism and the rule of law
Celebrating humanity's flourishing through the spread of capitalism and the rule of law
Celebrating humanity's flourishing through the spread of capitalism and the rule of law
Celebrating humanity's flourishing through the spread of capitalism and the rule of law
Celebrating humanity's flourishing through the spread of capitalism and the rule of law
Celebrating humanity's flourishing through the spread of capitalism and the rule of law
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