"I often present my leftist friends with my two-question challenge. I ask them to name a country, anywhere on the planet and at any point in history, that has either become rich with statist policies or has experienced superior levels of growth with statist policies."
They never have an answer. Or, to be more specific, they never have an accurate answer since Sweden (their reflex response) became rich when government was small and has stumbled ever since a large welfare state was imposed.
And if they are willing to have an extended discussion, my next step is to compare the long-run performance of market-friendly jurisdictions with statist jurisdictions. Whether we’re looking at Chile vs. Venezuela, North Korea vs. South Korea, or Hong Kong vs. Argentina, the results always show that economic liberty is the recipe for growth and prosperity.
When I ask them to show a statist nation with decades of good results, they don’t have an answer. Or, to be more specific, they never have an accurate answer since China (their reflex response) only started to grow once the economy was partially liberalized.
I’m pontificating on this topic because a reader sent me this very stark contrast between market-friendly Botswana and the statist hellhole of Zimbabwe. I can’t vouch for the specific numbers, though it appears some of them are from the Heritage Foundation’s Index of Economic Freedom.
The obvious lesson is that good policy is producing vastly superior results in Botswana.
But I wanted independent confirmation since not everything one sees on the Internet is true (shocking!).
So I checked Human Progress, the invaluable data portal created by Marian Tupy, and downloaded more than 50 years of data for inflation-adjusted ($2010) per-capita GDP in Botswana, Zimbabwe, and South Africa.
The results, to put it mildly, are stunning. Botswana has enjoyed much faster growth than South Africa, and Zimbabwe has suffered horrible stagnation.
South Africa’s anemic performance doesn’t surprise me.
And I guess the gap between Botswana and Zimbabwe shouldn’t surprise me, either. After all, Marian wrote about the difference between Botswana and Zimbabwe back in 2008.
How different, I thought, was Zimbabwe from Botswana, the latter of which is safe and increasingly prosperous. But what accounts for such striking differences between the two neighbors? It turns out that much of the difference stems from the degree of freedom that each populace enjoys.Here’s some of what he wrote about Botswana.
As Robert Guest of The Economist noted in his 2004 book, The Shackled Continent, “In the last 35 years, Botswana’s economy has grown faster than any other in the world…” According to Scott Beaulier, an economist at Beloit College, “Khama adopted pro-market policies on a wide front. His new government promised low and stable taxes to mining companies, liberalized trade, increased personal freedoms, and kept marginal income tax rates low to deter tax evasion and corruption.” …Economic openness served Botswana well. Between 1966 and 2006, its average annual compound growth rate of GDP per capita was 7.22 percent—higher than China’s 6.99 percent. Its GDP per capita (adjusted for inflation and purchasing power parity) rose from $671 in 1966 to $10,813 in 2005.And here are some of his observations about Zimbabwe.
…almost all of the country’s 4,000 white-owned farms were invaded by state-organized gangs. Some of the farmers who resisted the land seizures were murdered, while others fled abroad. …The agricultural sector soon collapsed, and with it most of Zimbabwe’s tax revenue and foreign currency reserves. …the government ordered the Reserve Bank of Zimbabwe (RBZ) to print more money, sparking the first hyperinflation of the 21st century. …Mugabe’s answer to the falling economy was to increase state patronage and the intensity of the looting.Needless to say, nothing has changed in the decade since that article was published. Though hopefully, Mugabe’s recent ouster may lead to better policy in Zimbabwe (it would be difficult to move in the wrong direction, though Venezuela is evidence that further deterioration is possible).
By the way, none of this suggests Botswana is perfect. Indeed, it’s not even close.
According to the Fraser Institute’s Economic Freedom of the World, it is ranked #50, which means it isn’t even in the top quartile. And its latest score of 7.37 (out of 10) is well below top-ranked Hong Kong’s score of 8.97.
But you don’t have to be fast to win a race. You simply need to be quicker than your competitors. And, on the continent of Africa, Botswana has the most economic freedom."
"It looks like we have another terrible case of cherry-picking the
evidence. But this time it’s shockingly misleading. Instead of simply
pretending that the evidence on school choice is “mixed,” the Center for American Progress took it a step further by saying that the voucher evidence is “highly negative.” They are absolutely wrong. Here’s why.
The Four Evaluations
Their review of the research relies on only four voucher studies –
Indiana, Ohio, Louisiana, and D.C. Two of these studies – Indiana and
Ohio – are non-experimental, meaning that the researchers could not
establish definitive causal relationships. But let’s go ahead and
entertain them anyway.
The Ohio study used an econometric technique called regression-discontinuity-design,
which can only replicate experimental results when a large number of
students are used right around a treatment cutoff point. The intuition
behind the method is that it is essentially random chance that students
fall just around either side of the cut point, and therefore the
students are randomly assigned to the voucher treatment or not.
The Ohio program used a cutoff variable - the performance of the
child’s public school – to determine program eligibility. However, the
researchers used student observations that were not right around the cut
point and even removed the observations that were closest to the
discontinuity. In other words, the authors could not establish
causality, and it is more likely that the children assigned to receive
the voucher program were less advantaged than those who were ineligible.
After all, students in lower-performing public schools were the ones
that were eligible for the choice program.
Even then, the model with the largest sample size actually found that
being eligible for the program led to positive test score impacts. But
the authors at CAP never mentioned that.
The Indiana study
was also non-experimental, as it compared voucher students to those
remaining in traditional public schools. But let’s look at it anyway.
While the authors did find small negative effects of the program on test
scores initially, voucher students caught up to public school students
in math and performed better in reading after four years. How in the
world can a positive result like this be “highly negative?” Weird.
The Louisiana experiment
did find large negative effects on test scores in the first two years.
However, voucher students caught up to their public school peers in both
math and reading after three years. The CAP authors argue that the main
model – although clearly preferred by the Louisiana research team – is
less “accurate” because of the “restricted sample size.” That is odd, as
using more control variables (and a consistent sample) usually makes
econometric models more accurate
– not less. Another thing that is odd: the CAP authors chose not to
report the positive Ohio results – which came from their larger sample
of students – and instead chose to report the negative results – which
came from a sample that was less than a tenth of the size. Why the
change in criteria?
The CAP review heavily relies on the most recent experimental evaluation of the D.C. voucher program. It just so happens to be one of the only two voucher experiments in the world to find negative effects on student test scores.
The first-year evaluation of the D.C. voucher program found a 7.3 point
loss in math scores and no effects on reading scores. However, the CAP
authors overstated this loss by saying that the effect was “the same as
missing 68 days of school.” But that suggests voucher students lost
ground in all subjects, while the D.C. experiment concluded that voucher
students did not lose any learning in reading.
What’s more – prior research has found that switching schools – for whatever reason – reduces student math achievement
by at least a tenth of a standard deviation. After all, students and
schools need to adjust to their new environments. That the average
voucher student only lost 7.3 points from switching schools suggests
that the private schools in D.C. may have actually had positive effects
on academic outcomes net of the temporary negative effects of a one-time
school switch.
Further, the recent D.C. evaluation only looks at students after one
year – when they are still adjusting to their new schools. And the
meta-analysis of 19 voucher experiments shows that voucher programs’
effects on test scores get better over time.
In fact, the positive test score trend was found in both Louisiana and
Indiana. In addition, about half of the students in the control group in
the D.C. experiment went to schools of choice. In other words, the first-year loss in math scores was relative to a mix of students in both traditional public schools and public charter schools.
And we cannot forget about the unequal playing field in our nation’s capital. D.C. voucher students only receive around $9,600 per year, while children in charter schools receive 46 percent more resources, while students in traditional public schools receive around 3 times the amount of education dollars. It’s amazing that D.C. voucher students are doing as well as they are with such a huge funding disadvantage.
The True State of the Evidence
So what does the evidence actually say?
When synthesizing any body of research, we ought to rely on the most
rigorous studies – the experiments. We should also look at all of the
studies so we are sure not to fall prey to cherry-picking.
Eleven of the 17 existing voucher experiments in the United States find positive effects on test scores for some or all students, and a recent meta-analysis
of 19 voucher experiments around the world finds positive effects
overall. Only 2 of the 17 experimental evaluations find any negative
effects on student test scores – and those are also the only two
evaluations solely looking at effects after the first year.
But what about the students that are left behind in public schools?
It turns out that competition benefits those students as well. At least
24 studies exist on this topic. And 23 of the 24 studies find positive effects on student achievement for kids in public schools. None of these studies find negative effects.
But we shouldn’t only look at test scores. After all, families do not
care all that much about test scores, especially since test scores are weak predictors of long-term outcomes. It just so happens that private school choice programs have much more positive effects on non-test score outcomes.
I found 11 studies in my review of the most rigorous studies
linking private school choice programs to civic outcomes like student
tolerance levels and political participation. The majority of the
studies found large positive effects. For instance, researchers from
Harvard University and the University of Arkansas found that children
that won a random lottery to use the D.C. voucher program were about 90 percent more likely to permit individuals from groups they oppose to give a speech in their community. No studies found negative effects. And another review by Patrick J. Wolf similarly found that private school choice largely improves civic outcomes.
Only one experiment – in D.C. – links a voucher program to high
school graduation. And it finds that winning the lottery to use a
voucher increases the likelihood that a student will graduate high
school by 21-percentage points. That is huge.
Another systematic review of the evidence finds that voucher programs lead to racial integration. In fact, 7 of the 8 rigorous studies that exist on the topic find positive effects.
None of the studies find negative effects. Unsurprisingly, when
vouchers allow disadvantaged children to leave their segregated
neighborhood schools, society becomes more integrated.
It’s time we set the record straight. The preponderance of the
evidence suggests that private school choice improves test scores, high
school graduation rates, tolerance, civic engagement, criminality,
racial integration, and public school performance. And, of course, all
of these benefits come at a lower cost to the taxpayer.
With the substantial body of scientific evidence suggesting precisely
the opposite, claiming that voucher impacts are “highly negative” is
almost as absurd as saying that the Earth is flat. Anyone making such a
claim needs to seriously reevaluate their position."