Herbert Hoover and the onset of the Great Depression
23 Jul 2015 Leave a comment
in business cycles, economic history, economics of regulation, great depression, industrial organisation, labour economics, macroeconomics, unions Tags: Herbert Hoover, Lee Ohanian
Fact checking @StaceyKirkNZ & @armchair_critic @Income_Equality: How NZ is one of the worst in the world – updated
23 Jul 2015 1 Comment
in discrimination, gender, labour economics, labour supply, politics - New Zealand, poverty and inequality, public economics, Rawls and Nozick, urban economics Tags: child poverty, difference principle, distributive justice, family poverty, green rent seeking, housing prices, land prices, land supply, Leftover Left, NIMBYs, top 1%
Last May, the Dominion Post had a feature on how New Zealand inequality was amongst the worst in the world:
Rising inequality has been the norm in most developed countries, but few have seen it increase by as much as New Zealand.
Since the 1980s, New Zealand’s inequality – which had been low by OECD standards – drew closer to levels seen in more unequal countries like the United States.
They support this claim with a Gini Coefficient chart that I’ve been unable to source at the OECD. I therefore use another that is freely available in New Zealand and which I have used in the past. My data source on the Gini coefficient has the advantage of been a complete series back to the early 1980s rather than five yearly observations in the OECD data sourced by the Dominion Post.
Figure 1: Inequality in New Zealand and the OECD trend: the Gini coefficient
Source: Bryan Perry, Household incomes in New Zealand: Trends in indicators of inequality and hardship 1982 to 2013. Ministry of Social Development (July 2014), Figure J5.
Figure 1 shows there is no evidence of a substantive rise or fall in inequality in New Zealand since the mid 1990s. Nearly all of the increase in inequality was in the late 1980s and early 1990s. Not mentioning that nearly all of the increase was in a short period leads to a poor understanding of the data before their readers. Rising inequality is not an on-going problem in New Zealand. There was a large rise in inequality in the late 1980s and early 1990s.
The next figure that I’ve been able to reproduce is the income shares of the top 10%, top 5%, top 1% on top 0.5% income earners in New Zealand – see figure 2.
Figure 2: Top Income Shares, New Zealand
Source: top incomes-parisschoolofeconomics.
Our intrepid reporters in the Dominion Post claim that figure 2 shows that:
In 1986, the top 10 per cent took home 26.5 per cent of New Zealand’s income. In 1999, it was 37.8 per cent and in 2004, it was 33.2 per cent.
Oddly enough, our intrepid reporters decided to stop at 2004 for no particular reason. They also chose to truncate their chart at 1986 for no particular reason other than to lead the coincidence that the top 10% income shares were higher in the 1960s and 1970s that now– see figure 2 . That is, the top 10% in New Zealand earned more in the days before the scourge of neoliberalism came upon the New Zealand then after it – see figure 2. This detail was worth disclosing. Did neoliberalism reduce the income divide in New Zealand between the top 10% and the rest? Figure 2 suggests that it did.
The best that veteran grumbler Max Rashbrooke could spin to make these good old days of higher inequality than now to look like good old days before the scourge of neoliberalism beset New Zealand was to ignore the fortunes of the majority of the population in his dewy eyed view of his childhood:
New Zealand up until the 1980s was fairly egalitarian, apart from Māori and women, our increasing income gap started in the late 1980s and early 1990s
A more worthy analysis of figure 2 is to note that top income shares in New Zealand haven’t changed that much except for a bit of a spike in the late 1980s. This increase in inequality in New Zealand in the late 1980s and early 1990s – see figures 1 and 2 – was quickly followed by a long economic boom – see figure 3.
Figure 3: Real GDP per New Zealander and Australian aged 15-64, 2014 US$ (converted to 2014 price level with updated 2011 PPPs), 1.9 per cent detrended, 1956-2013
Source: Computed from OECD Stat Extract and The Conference Board. 2015. The Conference Board Total Economy Database™, May 2015, http://www.conference-board.org/data/economydatabase/
This boom after next to two decades of minimal real economic growth per working age New Zealander benefited everyone and, for example, the unemployment rate fell to a record low of 3.5% about 2005. The supposedly more egalitarian 1970s and 1980s were lost decades of growth – see figure 3.
Figure 4: Real equivalised median household income (before housing costs) by ethnicity, 1988 to 2013 ($2013)
Source: Bryan Perry, Household incomes in New Zealand: Trends in indicators of inequality and hardship 1982 to 2013. Ministry of Social Development (July 2014).
As shown in figure 4, between 1994 and 2010, real equivalised median New Zealand Pakeha household income rose by 47%; for Māori, this rise was 68%; for Pasifika, the rise in real equivalised median household income was 77%. These trends pass the difference principle developed by John Rawls.
The large improvements in Māori incomes since 1992 were based on rising Māori employment rates, fewer Māori on benefits or zero incomes, more Māori moving into higher paying jobs, and greater Māori educational attainment (Dixon and Maré 2007). Labour force participation rates of Māori increased from 45% in the late 1980s to about 62% in the last few years. Māori unemployment reached a 20-year low of 8 per cent from 2005 to 2008. That and the return of wages growth after years of stagnation as shown in figure 5 is something to celebrate.
Figure 5: real GDP per capita an average real wage, 1965 – 2014, New Zealand
Source: Council of Trade Unions.
The reporters in the Dominion Post also fell for the recent OECD analysis suggesting a connection between economic growth and inequality:
One study by the OECD suggests rising inequality was responsible for wiping a third off New Zealand’s economic growth in the past 30 years
It estimated the rate of New Zealand’s GDP growth was stunted by as much as 15.5 percentage points between 1990 and 2010 – more than any other OECD economy.
The analysis of the OECD depended crucially upon how greater inequality reduces the ability of the lower income families to invest in human capital:
The evidence strongly suggests that high inequality hinders the ability of individuals from low economic background to invest in their human capital, both in terms of the level of education but even more importantly in terms of the quality of education.
The OECD theory of inequality and lower growth is there is a financing constraint because of inequality that reduces economic growth because of less human capital accumulation by lower income families.

The OECD put a lot of their growth inequality nexus eggs in one basket. The OECD was implying that student loans and other government interventions are not closing credit constraints on financing higher education despite decades of rapidly rising tertiary education attainment, which is partially illustrated in figure 6.
Figure 6: tertiary educational degree attainment (%), New Zealanders aged 25–34, 2000-2013
Source: OECD StatExtract.
This is interesting because in 2002, with Pedro Carneiro, James Heckman showed that lack of credit is not a major constraint on the ability of young Americans to attend college. They found that credit constraints prevent, at most, 4% of the U.S. population from attending. Credit constraints is weakening as a rationale for a lack of an accumulation of human capital, and can be easily solved.
Another difficulty for the OECD is the increase in inequality in New Zealand was, as noted before in figures 1 and 2, in the late 1980s and 1990s. To blame low economic growth to the tune of 15 percentage points on events of some 25 or 30 years ago is a long bow.
Higher education has been free for the low income families for several generations. Student loans are readily available. It is hard to believe that such a readily solvable problem is a major source of inequality and lower growth. Moreover, as Aghion said:
Economists and others have proposed many channels through which education may affect growth–not merely the private returns to individuals’ greater human capital but also a variety of externalities.
For highly developed countries, the most frequently discussed externality is education investments’ fostering technological innovation, thereby making capital and labour more productive, generating income growth.
Despite the enormous interest in the relationship between education and growth, the evidence is fragile at best.
The 15 percentage point reduction in New Zealand economic growth since the late 1980s because of inequality is so large over a 30 year period that this half a percentage point reduction on average per annum qualifies as an independent source of business cycle shocks and an equally implausible driver of real business cycles.
Our intrepid reporters closed by claiming large increases in child poverty:
In December last year, the second annual Child Poverty Monitor showed a slight decrease in the number of Kiwi children living in income poverty, from 27 per cent to 24 per cent. But 30 years ago, it was 14 per cent.
Figure 7 below shows their numbers, which is child poverty in New Zealand for poverty thresholds of 60% relative to a contemporary median measured both before and after housing costs.
Figure 7: % child poverty in New Zealand (before and after housing costs), 60% relative to contemporary median, 1982 – 2013
Source: Bryan Perry, Household incomes in New Zealand: Trends in indicators of inequality and hardship 1982 to 2013. Ministry of Social Development (July 2014), Tables F.6 and F.7.
The first thing to notice in figure 7 is before housing costs child poverty has been pretty stable for 30 years the New Zealand. Few celebrate this.
Figure 7 does show a large increase in after housing costs child poverty in the late 1980s. Since the early 1990s, after housing costs child poverty has slowly tapered down from the high 30% in the mid-1990s to 24% now – see figure 7.
In the longer run after housing costs child poverty rates in 2013 were close to double what they were in the late 1980s mainly because housing costs in 2013 were much higher relative to income than they were in the late 1980s.
– Bryan Perry, 2014 Household Incomes Report – Key Findings. Ministry of Social Development (July 2014).
Before housing costs child poverty in recent years as been the same as it was in 1982 – see figure 7. Although there were large cuts in the social security benefits in the 1991 mother of all budgets in New Zealand, before housing child poverty increased to 25% but was back to 20% by the mid 1990s.
As figure 7 shows, the problem was not income, but the rising costs of housing that had to be paid out of benefits and wages. The Left over Left will not let go of the 1991 benefit cuts even 25 years later despite the fact that the issue was rising housing costs rather than perpetually higher before housing costs child poverty.

The problem is not income, it is rising costs of housing. Increasing wages and benefits will not solve that if more money is simply chasing the same limited stock of land and urban housing.

A proper comparison of the diverging trends in figure 7 between before housing costs child poverty and after housing costs child poverty rates since 1982 gives a much clearer picture of what is increasing child poverty. It is rising housing costs as a result of regulation on the supply of new urban land.
![]()
Source: OECD Better Life Index.
The driver of inequality in New Zealand is government regulation of the land supply – policies supported by the middle-class and the left-wing parties. Rising inequality is not inequality between high and low income earners as suggested by the Dominion Post.
Fact Checking @Income_Equality – child poverty in 2014 was at 24% compared to 14% in 1982
22 Jul 2015 Leave a comment
in applied welfare economics, economic history, labour economics, politics - New Zealand, population economics, poverty and inequality, urban economics Tags: child poverty, family poverty, green rent seeking, housing prices, land prices, land supply, Leftover Left, NIMBYs, top 1%
Closing The Gap – The Income Equality Project said today that “child poverty in New Zealand in 2014 was 24% as compared 14% in 1982”. What do they mean by this and what, importantly, does this trend imply for problem definition for child poverty policy?
Figure 1 below shows their numbers, which is child poverty in New Zealand after housing costs for poverty thresholds of 60% relative to a contemporary median as calculated by the Ministry of Social Development’s Brian Perry – the New Zealand expert on these matters.
Figure 1: % child poverty in New Zealand (before and after housing costs), 60% relative to contemporary median, 1982 – 2013
Source: Bryan Perry, Household incomes in New Zealand: Trends in indicators of inequality and hardship 1982 to 2013. Ministry of Social Development (July 2014), Tables F.6 and F.7.
The first thing to notice is, which is important, in figure 1 is before housing costs child poverty under the 60% relative to the contemporary median poverty threshold chosen by Closing The Gap – The Income Equality Project has been pretty stable for 30 years the New Zealand. Crisis, what crisis?
The top 1%’s New Zealand branch has not being doing its job – see figure 2. The New Zealand top 1% has failed miserably in further oppressing the proletariat, extracting more and more of their labour surplus, and grinding working class children into deeper and deeper poverty to increase their already excessive incomes – see figure 2. You’re fired as the until recently registered Democrat Donald Trump would say.
Figure 2: top income shares, New Zealand, Australia and USA
Source: top incomes-parisschoolofeconomics
Before housing costs child poverty has not risen for 30 years as shown in figure 1, which is the chosen threshold of child poverty of the Closing The Gap – The Income Equality Project.
The story about trends in child poverty is very different for child poverty when after housing costs child poverty rates are estimated – see figure 1.
Figure 1 shows a large increase in after housing costs child poverty in New Zealand in the late 1980s when there was a deep recession and double-digit unemployment. Since the early 1990s, as figure 1 shows, after housing costs child poverty has slowly tapered down from the high 30% in the mid-1990s to 24% now and that is despite the global financial crisis, which was the top 1%’s fault if the Left over Left is to be believed.
For before housing costs child poverty – as can be seen from figure 1 – there was an increase in child poverty before housing costs when there was a deep recession at the end of the 1980s. After before housing costs child poverty is now the same as it was both 20 and 30 years ago – see figure 1 .
In the longer run after housing costs child poverty rates in 2013 were close to double what they were in the late 1980s mainly because housing costs in 2013 were much higher relative to income than they were in the late 1980s.
– Bryan Perry, 2014 Household Incomes Report – Key Findings. Ministry of Social Development (July 2014).
Now to the rub. If it is after housing costs child poverty that has risen in New Zealand and stayed high, as it has, the focus should be on what factors are driving up housing costs rather than what factors are driving down wages and incomes of ordinary worker. Before housing costs child poverty is no worse than it was 20 and 30 years ago – see figure 1.
New QV figures show Auckland house prices are up a massive 16.1% on last year, now estimated to reach $1m by Aug '16. http://t.co/DwAU79ozCy—
New Zealand Labour (@nzlabour) June 09, 2015
The cause of the large increase in housing costs and housing prices is abundantly clear. Restrictions on the supply of land that result from the Resource Management Act and policies made under that law such as the Auckland urban limit. That is the proper problem definition for public policy. Restrictions on land supply is driving up child poverty because more and more of the incomes of the poor is housing costs.
Source: Federal Reserve Bank of Dallas.
The most straightforward and fastest way of reducing child poverty and family poverty in New Zealand is lowering housing costs through deregulation of land supply.

Land supply deregulation is well within the realm of public policy choice. Parliament cannot legislate wage increases without accompanying productivity increases, but it can reduce restrictions on the supply of land as a result of the Resource Management Act.
![]()
Any discussion of child poverty and family poverty in New Zealand should refer to trends in both before and after housing cost in child poverty.
Will the Govt intervene in Auckland's housing crisis? Or will home ownership become a preserve of the wealthy? http://t.co/CK2AnCeuYB—
Green Party NZ (@NZGreens) February 05, 2015
A comparison of these diverging trends between before housing cost and after housing costs child poverty rates since 1982 gives a much clearer picture of what is increasing child poverty. The cause is housing costs as a result of ever tightening regulation on the supply of new urban land and in particular in Auckland at the behest of the middle-class voters courted by the Greens and Labour Party. It is the left-wing parties in New Zealand which opposed the most practical steps to reduce child poverty, which is land supply deregulation.
Union and non-union manufacturing job losses compare
22 Jul 2015 Leave a comment
in economic history, industrial organisation, labour economics, survivor principle, unions Tags: creative destruction, union power, union wage premium
Those reading Nick Kristof's pro-union piece should also consider their impact on job growth economy.com/dismal/analysi… http://t.co/xJwbJQmQth—
Modeled Behavior (@ModeledBehavior) February 19, 2015
The impact of neoliberalism on labour market freedom in Argentina, Brazil, Chile and Venezuela
22 Jul 2015 Leave a comment
in development economics, economic history, economics of regulation, growth disasters, growth miracles, labour economics, labour supply, minimum wage, unions Tags: Argentina, Brazil, Chile, conspiracy theories, employment law, employment regulation, Index of Economic Freedom, Leftover Left, Mont Pelerin Society, neoliberalism, Twitter left, Venezuela
All was quiet on the neoliberalism front in Latin America for the last 20 years. In yet another defeat for the Mont Pelerin Society led transnational conspiracy, labour market freedom has declined in the four countries in figure 1. I’ve always had my doubts about the ability of a transnational conspiracy to be led by a society with such a crappy website.
Figure 1: Index of Economic Freedom, Argentina, Brazil, Chile and Venezuela, 95 – 2015
Source: Index of Economic Freedom 2015.
Unemployment rates by education in the USA
21 Jul 2015 Leave a comment
in business cycles, economics of education, global financial crisis (GFC), great recession, human capital, job search and matching, labour economics, labour supply, macroeconomics, unemployment Tags: education premium, labour market demographics
June jobless rate for people 25+ with
B.A. or more 2.5%
High school diploma 5.4%
No H.S. 8.2%
on.wsj.com/1LG1B6z http://t.co/luUUuw9h1V—
Sudeep Reddy (@Reddy) July 02, 2015
Trends in labour market freedom in the UK, USA, Germany and France – Index of Economic Freedom rankings
21 Jul 2015 Leave a comment
in economic history, economics of regulation, global financial crisis (GFC), job search and matching, labour economics, labour supply, law and economics, minimum wage, politics - USA, unions Tags: British economy, employment law, employment regulation, Eurosclerosis, France, Germany, Index of Economic Freedom
The writers of the Index of Economic Freedom at the Heritage foundation really loves the USA and didn’t think much of the Conservative Party – Liberal Democratic Party coalition government because labour market freedom actually fell in the UK during their administration. Bring back Tony Blair, all is forgiven. The information on their website throws no insight into why this reduction in labour market freedom in Britain happened.
Figure 1: Index of Economic Freedom, Argentina, Brazil, Chile and Venezuela, 95 – 2015 ![]()
Source: Index of Economic Freedom 2015.
Fortunately for Germany, labour market freedom increased over the course of the global financial crisis and its aftermath. This helps explains low unemployment in Germany during that period. Nothing much happened in France in regard to labour market freedom.
Unwanted pregnancy rates and education
20 Jul 2015 Leave a comment
in applied price theory, applied welfare economics, labour economics, labour supply, occupational choice, politics - USA Tags: economics of fertility, economics of the family, single parents
French, German, Italian, Irish and Spanish equilibrium unemployment rates, 1968 – 2016
19 Jul 2015 Leave a comment
in business cycles, economic growth, economic history, fiscal policy, job search and matching, labour economics, macroeconomics, unemployment Tags: Celtic Tiger, equilibrium unemployment rate, Eurosclerosis, Germany, Ireland, Italy, natural unemployment rate, Rance, Spain
Figure 1 shows large contrasts in time path of equilibrium unemployment rates. For example, French and Italian equilibrium unemployment rates haven’t changed much since about 1986.
Figure 1: equilibrium unemployment rates, France, Germany, Italy, Ireland and Spain, 1968 – 2016
Source: OECD Economic Outlook June 2015 via OECD StatExtract..
Figure 1 also shows some fortuitous ups and downs in the German equilibrium unemployment rate. This estimate was available only from after German unification.
The equilibrium German unemployment rate rose from 6% to above 8% on the eve of the global financial crisis. Fortunately for Germany, major labour market reforms brought the equilibrium unemployment rate down as Germany moved into the global financial crisis.
The Spanish equilibrium unemployment rate had been terrible since about 1980, started to fall in the 1990s, then skyrocketed even before the onset of the global financial crisis – see figure 1.
There have been ups and downs in the Irish equilibrium unemployment rate – see figure 1. It was as high as 14% at the end of the Irish great depression of the 1970s and 1980s. The equilibrium Irish unemployment rate was 8% at the heyday of the Celtic tiger then slowly rose in the lead up to the global financial crisis.
Equilibrium unemployment rates in Canada, USA and UK, 1962 – 2016
18 Jul 2015 Leave a comment
in business cycles, job search and matching, labour economics, labour supply, macroeconomics, unemployment Tags: British economy, Canada, equilibrium unemployment rate, natural unemployment rate
Figure 1 suggests a lot more structural change in the Canadian and British labour market in the 1970s and 1980s.
Figure 1: equilibrium unemployment rates, Canada, USA and UK, 1962 – 2016
Source: OECD Economic Outlook June 2015 via OECD StatExtract.
Nothing much at all seems to have happened to the equilibrium unemployment rate in the USA since the OECD first started calculating it. I doubt that so that will be subject of a future blog. Namely, the large changes in natural unemployment rates in the post-war period, largely to demographic changes such as the baby boom.
From wisdom to conviction – Paul Krugman on the Card–Kruger study of minimum wages (1998 and now)
18 Jul 2015 1 Comment
in economics of regulation, history of economic thought, labour economics, minimum wage, politics - USA, poverty and inequality Tags: evidence-based policy, living wage, Paul Krugman
This first screenshot is from the New York Times today of Paul Krugman’s current recollection of his interpretation of the Card – Kruger study of minimum wages in restaurants when that study was published all those years ago.
Paul Krugman in his review of Living Wage: What It Is and Why We Need It By Robert Pollin and Stephanie Luce in 1998 was far wiser.
So what are the effects of increasing minimum wages? Any Econ 101 student can tell you the answer: The higher wage reduces the quantity of labour demanded, and hence leads to unemployment. This theoretical prediction has, however, been hard to confirm with actual data.
Indeed, much-cited studies by two well-regarded labour economists, David Card and Alan Krueger, find that where there have been more or less controlled experiments, for example when New Jersey raised minimum wages but Pennsylvania did not, the effects of the increase on employment have been negligible or even positive.
Exactly what to make of this result is a source of great dispute. Card and Krueger offered some complex theoretical rationales, but most of their colleagues are unconvinced; the centrist view is probably that minimum wages “do,” in fact, reduce employment, but that the effects are small and swamped by other forces.
What is remarkable, however, is how this rather iffy result has been seized upon by some liberals as a rationale for making large minimum wage increases a core component of the liberal agenda–for arguing that living wages “can play an important role in reversing the 25-year decline in wages experienced by most working people in America” (as this book’s back cover has it).
Clearly these advocates very much want to believe that the price of labour–unlike that of gasoline, or Manhattan apartments–can be set based on considerations of justice, not supply and demand, without unpleasant side effects.
This will to believe is obvious in this book: The authors not only take the Card-Krueger results as gospel, but advance a number of other arguments that just do not hold up under examination.
The Card– Kruger results have gone from rather iffy in the mind of Paul Krugman to the basis of public policy that, if wrong, costs a lot of low paid workers their jobs. Krugman was well aware in 1998 what a risky path minimum wage increases were:
Now to me, at least, the obvious question is, why take this route? Why increase the cost of labour to employers so sharply, which–Card/Krueger notwithstanding–must pose a significant risk of pricing some workers out of the market, in order to give those workers so little extra income?
Why not give them the money directly, say, via an increase in the tax credit?
Studies of tiny increases in the minimum wage are being used to justify far larger increases in the minimum wage. Krugman was right to be suspect of that in 1998.
Venn Diagram: 1998 Paul Krugman v. 2015 Paul Krugman on the Minimum Wage tinyurl.com/q58ftug @WilliamOccam2 http://t.co/c4DdxqTvwK—
Mark J. Perry (@Mark_J_Perry) July 18, 2015
Krugman’s statements today in the New York Times about the low starting point in modern America for any minimum wage increases is still keeping that slightly cautious tone in his analysis. Few who read his analysis will carry that passing nuance into their own policy advocacy.
Paul Krugman in 1998 was quite astute as to why people want to believe the minimum wage can be increased without any cost to jobs:
One answer is political: What a shift from income supports to living wage legislation does is to move the costs of income redistribution off-budget. And this may be a smart move if you believe that America should do more for its working poor, but that if it comes down to spending money on-budget it won’t.
Indeed, this is a popular view among economists who favour national minimum-wage increases: They will admit to their colleagues that such increases are not the best way to help the poor, but argue that it is the only politically feasible option.
Nor in 1998 was Krugman blind to the expressive politics, the ideological blindness of those who advocate minimum wage increases and living wages:
But I suspect there is another, deeper issue here–namely, that even without political constraints, advocates of a living wage would not be satisfied with any plan that relies on after-market redistribution.
They don’t want people to “have” a decent income, they want them to “earn” it, not be dependent on demeaning hand-outs…
In short, what the living wage is really about is not living standards, or even economics, but morality. Its advocates are basically opposed to the idea that wages are a market price–determined by supply and demand, the same as the price of apples or coal.
It is most unwise to say there is no evidence of minimum wage increases causing unemployment. That sets a low bar of having to find only one or two studies to refute the claim:
1. Taking his claims as true, why do small businesses lobby against raising the minimum wage?
2. Why did Tom Holmes find in his seminal 1999 JPE paper that manufacturing clusters on the Right to Work Side of state borders and avoids the union side of the border?
3. Why did Erin Mansur and I find the same result in our 2013 paper where we build on Holmes’ paper and show that labour intensive manufacturing industries are even more likely to avoid the union side of the border as they are more likely to locate in the adjacent county in the Right to Work State?
4. The Card-Krueger study is certainly important but the variation they used to estimate their effect is tiny relative to the upcoming doubling of the minimum wage up to $15 in cities such as LA and San Fran. How is Dr. Krugman so sure that he can “extrapolate out of sample” to a policy that has never been tried before? Does he have a valid structural model that he can use to conduct such extreme policy counter-factuals?
Karl Popper would be proud of Krugman’s bold and risky prediction that strictly forbids the existence of any studies showing adverse unemployment effects of minimum wage increases.
The thing to remember is, if there is not doubt in the literature, if there are not some mixed results, the econometricians are simply not trying hard enough to win tenure, secure promotion and be published on the top journals.
Low pay across the OECD
18 Jul 2015 Leave a comment
in minimum wage, politics - Australia, politics - New Zealand, politics - USA, poverty and inequality, unions, welfare reform Tags: living wage, low pay, minimum wage
Low performers in maths by gender, USA, UK, Japan, Canada, Australia and New Zealand
17 Jul 2015 Leave a comment
in discrimination, economics of education, gender, human capital, labour economics Tags: cognitive psychology, educational psychology, lost boys, PISA, Psychology, reversing gender gap
Figure 1: % of students achieving a proficiency level below 2 in maths by gender, USA, UK, New Zealand, Japan, Canada and Australia, 2012
Source: OECD StatExtract.
Recent Comments