Measuring Happiness

Arnold Kling of EconLog despises happiness research:

My view is that happiness research implies Nothing. Zero. Zilch. Nada. I believe that you do not learn about economic behavior by watching what people say in response to a survey.

Precisely. You learn about economic behavior by watching what people actually do.

Of course, a person’s happiness can’t be reduced to a single number (e.g., disposable income or number of TVs owned). And, even if it could be, it’s impossible to sum the happiness of individuals to arrive at some measure of collective happiness. Are we a happier nation if Joe is “unhappy” and Sadie is “happy” or if Joe is “happy” and Sadie is “unhappy”?

Happiness is a deeply personal thing, as indefinable as consciousness. Some individuals have a sense of happiness and keep it, in spite of adversity. Some individuals rarely have it, in spite of prosperity. Some individuals gain it and lose it with every smile of fortune and blow of fate. Each person is a unique, irreplicable “experiment” in happiness. That’s my take.

Well, let’s give happiness research a chance and see if it has uncovered useful insights. Michael at 2blowhards summarizes the implications of some happiness research:

* If your job isn’t especially rewarding, pursue a hobby you love, one that delivers experiences of “flow.”

* Don’t focus too much on making money and buying things.

* Maintain a wide variety of friendships, and don’t spend too much time alone.

* Cultivate gratitude and forgiveness, including forgiveness towards yourself.

* Don’t try to feel great all the time — that’s not the way life works.

All of which could have been gleaned from introspection and self-help books, and none of which is especially new or particularly helpful:

* Taking up a hobby is old advice.

* Just how much focus on money is too much?

* Friends — I have few and I spend a lot of time alone, and that makes me very happy because I’m a strong introvert.

* I’m very hard on myself, and always have been, but that has made me a happier person because I have fewer faults than I used to have.

* I guess I should try to feel miserable instead of great — that’ll make me happy.

Arnold Kling is right, “happiness research implies Nothing. Zero. Zilch. Nada.”

Another Blow to Climatology?

FuturePundit (again) points to an article at NewScientist.com:

Cosmic ray link to global warming boosted

10:27 17 August 04

The controversial idea that cosmic rays could be driving global warming by influencing cloud cover will get a boost at a conference next week. But some scientists dismiss the idea and are worried that it will detract from efforts to curb rising levels of greenhouse gases.

At issue is whether cosmic rays, the high-energy particles spat out by exploding stars elsewhere in the galaxy, can affect the temperature on Earth. The suggestion is that cosmic rays crashing into the atmosphere ionise the molecules they collide with, triggering cloud formation.

If the flux of cosmic rays drops, fewer clouds will form and the planet will warm up. No one yet understands the mechanism, which was first described in the late 1990s. But what makes it controversial is that climate models used to predict the consequences of rising levels of greenhouse gases do not allow for the effect, and may be inaccurate [emphasis added].

Some proponents of the theory argue that changes in the number of cosmic rays reaching Earth can explain past climate change as well as global warming today [emphasis added]. Nir Shaviv of the Hebrew University in Jerusalem, Israel, and Jan Veizer of the University of Ottawa in Ontario, Canada, claimed in 2003 that changes in cosmic-ray flux are the major reason for temperature changes over the past 500 million years [emphasis added]….

You want more examples of research that suggests global warming may have little to do with human activity? FuturePundit has them.

Scientists in a Snit

Some scientists are “hopping mad” because the Bush administration doesn’t always do what they want it to do. As AP reports via Yahoo! News:

Science, Politics Collide in Election Year

By MATT CRENSON, AP National Writer

Last November, President Bush gave physicist Richard Garwin a medal for his “valuable scientific advice on important questions of national security.” Just three months later, Garwin signed a statement condemning the Bush administration for misusing, suppressing and distorting scientific advice.

So far more than 4,000 scientists, including 48 Nobel prize winners, have put their names to the declaration….

Later in the story we get some perspective:

Scientists collect evidence and conduct experiments to arrive at an objective description of reality — to describe the world as it is rather than as we might want it to be.

Government, on the other hand, is about anything but objective truth. It deals with gray areas, competing values, the allocation of limited resources. It is conducted by debate and negotiation. Far from striving for ultimate truths, it seeks compromises that a majority can live with.

When these conflicting paradigms come together, disagreements are inevitable.

The catch is that scientists don’t always “describe the world as it is.” Take the pseudo-science of climatology, for instance, which seems to be populated mainly by luddites who think that the world is coming to an end because of SUVs. (I exaggerate, but not by much.) Working from inadequate data and arguably false premises, they would have us stop in our tracks and revert to a standard of living last “enjoyed” in the 1800s. And climatologists aren’t the only “scientists” who inject their personal preferences into their recommendations.

Many people will be unduly impressed by an anti-Bush declaration signed by 4,000 scientists. They shouldn’t be. Science is like sausage-making. When you see how it’s done, you have qualms about swallowing the end product.

Stay Tuned

From Wired:

Probe Set to Test Einstein Theory

NASA’s Gravity Probe B spacecraft could begin testing Einstein’s general theory of relativity as early as this week, according to mission controllers at Stanford University….

Though many of the theory’s underlying concepts have been tested and proven in the 89 years since Einstein first published them, the proof for two concepts has remained elusive.

The first concept suggests that Earth — and almost any body in space — creates a dimple in the universe’s so-called space-time fabric. The second suggests that the rotation of the Earth twists that fabric….

This could be bigger than Botox.

Words of Caution for the Cautious

From “More sorry than safe” (Spiked-online.com), by Brendan O’Neill:

Professor Sir Colin Berry is not a big fan of the ‘precautionary principle’, the idea that scientists, medical researchers, technologists and just about everybody else these days should err on the side of caution lest they cause harm to human health or the environment. Berry is one of Britain’s leading scientists; he has held some of the most prestigious posts in British medicine, including head of the Department of Morbid Anatomy at the Royal London Hospital from 1976 to 2002. Now he watches as his ‘good profession’ threatens to be undermined by what he says is an ‘unscientific demand’ to put precaution first.

One of the most common definitions of the precautionary principle is that put forward by Soren Holm and John Harris in their critique of it in Nature magazine in 1999: ‘When an activity raises threats of serious or irreversible harm to human health or the environment, precautionary measures that prevent the possibility of harm shall be taken even if the causal link between the activity and the possible harm has not been proven or the causal link is weak and the harm is unlikely to occur.’ For Berry, this is one of the biggest problems with the precautionary principle – the notion that we could ever fully predict the outcome of an experiment or piece of research before it is complete, and that if we can’t then we should play it safe. ‘It doesn’t allow for the unknown’, he says. ‘Or for taking a risk in order to do something potentially useful.’

Berry says it is in the nature of scientific and medical research that you start out before you have all the information to hand – indeed, almost all of the great scientific advancements of the past 200 years have been a process of ‘learning as we went along’. ‘Consider blood transfusions’, he says. ‘When we started doing them, we knew about some blood groups but there were others we didn’t know about. We only came to know of these other blood groups when patients started to have transfusion reactions. There was an unknown, but we were able to learn from it and refine the process.’

He wonders whether, if the precautionary principle had been about for the past 200 years rather than the past 20, breakthroughs such as blood transfusions would ever have been made. ‘I certainly don’t think we would have radiotherapy or the various applications of x-rays if Marie Curie had been under pressure to comply with the precautionary principle’, he says. In the early twentieth century, Polish-born physicist and chemist Curie devoted her working life to the study of radium, paving the way for nuclear physics and the treatment of cancer. It cost her her life – she died from leukaemia in 1934, almost blind, her fingers burned by radium. ‘Curie’s work caused her “irreversible harm”‘, says Berry. ‘The precautionary principle would not have permitted her to take such risks, and the world would have been a worse place for it.’…

Berry points to the restrictions imposed on DDT – the pesticide used to get rid of malaria-carrying mosquitoes – as another example of how the ‘application of precaution’ can cause death and disease. In some third world countries where malaria had been all but eradicated over the past 20 years, there have been epidemics of the disease since DDT was restricted. Currently malaria is on the rise in all the tropical regions of the planet; in 2000, it killed more than one million and made 300million seriously ill. ‘Campaigners claimed that DDT was bad for the environment; they said that it caused harm to American birds of prey. I’m sorry, but why should people in the third world at risk from malaria care about American birds of prey? Decisions about these things should be based on local needs and on empirical evidence.’

The same should go for genetically modified crops, reckons Berry. ‘If we want to miss out on this new technology, that’s our lookout. But we should not be in a position to restrict the use of GM in the third world. As an African said recently, “You go ahead and ban GM crops, but can we eat first?”‘ Berry says the restriction of the use of potentially life-saving technologies in the third world is ‘a kind of environmental imperialism – if something is perceived to be bad for some American bird, then no one else in the world can use it either. That is absurd; we really cannot go on like this.’…

‘Almost no new technology can be assured to be risk-free. If your position is that you don’t accept any incremental risk, you are in effect saying no to all new technologies, whether it be a better anaesthetic, a better car, a better aeroplane, a safer environment for children – in fact anything worth having.’

Global Warming: Realities and Benefits

Climatologists — those who are willing to abandon the guilt-ridden political agenda that has entirely blamed human activity for global warming — are beginning to get somewhere:

The truth about global warming – it’s the Sun that’s to blame
By Michael Leidig and Roya Nikkhah
(Filed: 18/07/2004)

Global warming has finally been explained: the Earth is getting hotter because the Sun is burning more brightly than at any time during the past 1,000 years, according to new research.

A study by Swiss and German scientists suggests that increasing radiation from the sun is responsible for recent global climate changes.

Mmm…just as I was saying, here. In the same post I also pointed to a few other likely causes of global warming that have been neglected by politically correct “scientists”, namely, activity in Earth’s core and reversal of Earth’s magnetic field.

Before anyone commits suicide because we can’t regulate our way out of global warming, consider the possibility that it has beneficial effects as well as harmful ones; for example, warmer winters, longer growing seasons, and more sunny days (therefore more vitamin C intake and less depression). Why do you think that the Sunbelt States have grown much faster than the Rustbelt States?

"Physics Envy"

I’ve said a lot here, here, here, here, here, here, and here about economics, the social sciences in general, and a certain pseudo-science (climatology).

What I’ve really been talking about is a phenomenon known as “physics envy” — a term used by Stephen Jay Gould. He describes it thus in The Mismeasure of Man (1981):

the allure of numbers, the faith that rigorous measurement could guarantee irrefutable precision, and might mark the transition between subjective speculation and a true science as worthy as Newtonian physics.

But there’s more to science than mere numbers (quoting, again, from The Mismeasure of Man):

Science is rooted in creative interpretation. Numbers suggest, constrain, and refute; they do not, by themselves, specify the content of scientific theories. Theories are built upon the interpretation of numbers, and interpreters are often trapped by their own rhetoric. They believe in their own objectivity, and fail to discern the prejudice that leads them to one interpretation among many consistent with their numbers.

Enough said? Probably not.

Climatology

Climatology isn’t social science but it’s in the same league when it comes to quantification. (See previous post.) There’s a lot of uncertainty about the events that determine climactic conditions, about the relative importance of those events, and about the appropriate numerical values to assign to them. In spite of protests to the contrary, its likely that climatologists haven’t adequately accounted for sunspot activity, which is reaching a 1,000-year high, the effects of activity in Earth’s molten core, and the apparent reversal of Earth’s magnetic field.

Hemibel Thinking

Don’t go away. Stick around for some useful insights about social-science research.

First, what is “hemibel thinking”? Philip M. Morse and George E. Kimball, pioneers in the field of military operations research, wrote in their classic Methods of Operations Research (1951) that the

successful application of operations research usually results in improvements by factors of 3 or 10 or more….In our first study of any operation we are looking for these large factors of possible improvement….They can be discovered if the [variables] are given only one significant figure,…any greater accuracy simply adds unessential detail.

One might term this type of thinking “hemibel thinking.” A bel is defined as a unit in a logarithmic scale corresponding to a factor of 10. Consequently a hemibel corresponds to a factor of the square root of 10, or approximately 3.

This is science-speak for the following proposition: Things are rarely clear cut in the “real” world, especially in the realm of human behavior, where there’s a lot of uncertainty about which events contribute to particular outcomes, about the relative importance of those events, and about the appropriate numerical values to assign to them. Anyone who aspires to be a social scientist, should therefore be humble about claiming precision for quantitative estimates that are probably very imprecise.

Exhibit A: Prof. Ray Fair’s macroecnomic model of the U.S. It consists of 131 equations, each of which has several independent variables. No wonder Fair’s model, in its various incarnations, has done such a lousy job of forecasting changes in real GDP.

You might say that Fair’s model is an extreme case. There are, after all, many simpler models in the social sciences. Yes, but all models in the social sciences rely on inevitably imprecise estimates of the events arising from human behavior — even when those events are economic ones. Indeed, many social-science models are incomplete because many crucial events are unknown, unquantifiable, or both. In the case of the minimum wage, about which I have written recently, a professional economist echoes my views.

Hemibel thinking takes on great importance in light of the imprecision inherent in complex social-science models. Consider a model with only 10 variables. Even if the model doesn’t omit crucial variables, its results must be taken with large doses of salt. An error of about 25 percent in the value of each variable can produce a result that is off by a factor of 10; an error of about 12 percent in the value of each variable can produce a result that is off by a factor of 3 (a hemibel). (By the way, if you think that social-science data aren’t that bad, you haven’t seen how such data are collected and reported.) Of course, the errors might (miraculously) be offsetting, but don’t bet on it. It’s not that simple: Some errors will be large and some errors will be small (but which are which), and the errors may lie in either direction (but in which direction?).

So, the next time you read about research that purports to “prove” or “predict” such-and-such about a social phenomenon — the effect of the minimum wage on employment, the influence of “nature” vs. “nurture” in child-rearing, the inflationary effect of government deficits — take a deep breath and ask yourself “does this make sense?”

Maybe Economics Is a Science

This reminds me of economists quibbling about the effects of the minimum wage on employment of unskilled workers (from BBC News, UK Edition):

Hawking backs down on black holes

Stephen Hawking is saying he was wrong about a key argument he put forward nearly 30 years ago about the behaviour of black holes.

The world-famous physicist addresses an international conference on Wednesday to revise his claim that black holes destroy everything that fall into them.

It appears black holes may after all allow information in them to escape.

There’s more, but it’s inconclusive. Oh well, we’re less threatened by black holes than we are by the minimum wage — I think.

Economics as Science

I recently unloaded on Tyler Cowen of Marginal Revolution for his rather weak argument that economics is a science (see here and here). Cowen now says , more reasonably, that economics is a science “but let’s keep in mind that being a science, taken alone, doesn’t get you very far.” That’s more like it.

Many thoughtful economists have considered the question whether economics is a science. A Google search on “economics a science” yields some good hits on the subject. I won’t venture a summary, but I will say that they seem consistent in tone with Cowen’s newly found humility.

Nevertheless, economics — microeconomics in particular — offers useful insights about human behavior. To the extent that those insights are buttressed by statistical evidence — if not precisely quantified by such evidence — they are even more useful. It remains true, however, that economics, in its inchoate form, more closely resembles climatology than physics.

Is Economics a Science?

Tyler Cowen of Marginal Revolution asserts that economics is a science (see here and here). Normally, I would ignore such an assertion, but when a thoughtful blog like The Right Coast points to it, uncritically, I am compelled to comment on it.

Cowen is not alone in claiming that economics is a science, of course. But his claim is especially fatuous; to wit:

We produce empirical knowledge which is subject to process of testing, broadly interpreted, and feedback….We even now have controlled experiments. And look at some of our competitors. String theory is not yet empirical. Environmental science and ecology are rife with ideology. Astronomy doesn’t have controlled experiments. And isn’t chemistry just plain outright boring? There is plenty of empirical economics I don’t trust, but usually it is for quite hackneyed reasons (e.g., data mining), rather than for “intrinsic to economics” reasons.

I’ll come back to Cowen’s first point, that economics produces empirical knowledge, etc. As for the other points, here goes:

• A controlled experiment involving human behavior doesn’t yield valid results if its subjects know they’re participating in an experiment or if their environment is manipulated for the purpose of an experiment.

• So what if string theory isn’t yet empirical? It’s a hypothesis that may, someday, be tested by practitioners of a bona fide science: physics.

• So what if astronomy doesn’t have controlled experiments? A science can be a science without controlled experiments.

• The boringness of chemistry is in the mind of the contemplator. And boringness, of course, is neither here nor there when it comes to science.

• Not trusting “plenty of empirical economics” is a valid instinct. (See my post on economic forecasting, for example.)

Before I attack — no, address — Cowen’s claims about the “empirical knowledge” produced by economics, I want to be clear about the definition of science. Wikipedia says this:

Science is both a process of gaining knowledge, and the organized body of knowledge gained by this process. The scientific process is the systematic acquisition of new knowledge about a system. This systematic acquisition is generally the scientific method, and the system is generally nature. Science is also the scientific knowledge that has been systematically acquired by this scientific process.

The scientific method, according to Wikipedia, amounts to this:

The essential elements of the scientific method are iterations and recursions of the following four steps:

1. Characterization [or observation]
2. Hypothesis (a theoretical, hypothetical explanation)
3. Prediction (logical deduction from the hypothesis)
4. Experiment (test of all of the above)

All of this is overlaid by publication, criticism, and argument. Science cannot be like “cloistered virtue, unexercised and unbreathed, that never sallies out and sees her adversary…” (John Milton, a speech to the parliament of England, 1644, found here). Granted, economists publish a lot, and their lives seem to revolve around criticism and argument. Big deal. The same is true of The New York Times.

So let’s look at Cowen’s assertion that economists “produce empirical knowledge which is subject to process of testing, broadly interpreted, and feedback” — which I take as a clumsy attempt to say that economists follow the scientific method. That’s precisely where Cowen and others who claim that economics is a science are wrong.

Remember what I said about controlled experiments in economics: They’re meaningless. Therefore, the only valid way to test a hypothesis in economics is 1) to make a prediction of future economic behavior that is based on all data from non-experimental events that are relevant and available at the time of the prediction and 2) to test that prediction against data for non-experimental events that occur after the date of the prediction. Any other approach (e.g., “screening” available data or using data for past events to test the validity of a predictive model) is unscientific. (The words “cheating” and “manipulation” come to mind.)

Let’s see if Cowen adduces valid examples of the scientific method in his eight empirical propositions about economics. He says, reasonably enough, that if economics is a science “we should expect to see empirical progress.” He then lists eight “issues where I (and many others) have been swayed by the data,” which he states in the form of untrue claims in which he no longer believes. Here they are, followed in turn by my comments.

1. We can both control the price level and keep interest rates stable by targeting the monetary base. Twenty years ago I believed this, but even the Swiss have not stuck with monetary targeting. A better solution is to broadly target the price level but allow for mild inflation.

This is a case where “science” learns what “real people” already know, as in the case of the recent “discovery” that dogs understand words. Ratifying lessons from experience is more bookkeeping than science.

2. Minimum wage boosts will generally put many low-skilled workers out of work.

I addressed this one in recent posts, here and here. Cowen’s co-Volokh Conspirator, Jacob Levy, has more to say here. In any event, Cowen’s sources (here) are hardly compelling. The bottom line is akin to a shoddy defense summation. In the exact words of one of Cowen’s sources: “Now that we’ve re-evaluated the [spurious: ED] evidence…, here’s what most labor economists believe: The minimum wage kills very few jobs [one, two, thousands?: ED], and the jobs it kills were lousy jobs anyway [says the well-fed economist: ED]. In other words, “My client isn’t guilty, but if he is guilty he isn’t very guilty.”

3. Investment is highly elastic with respect to observed changes in real interest rates. I’ve seen a few good studies that generate significant elasticities, typically using taxes as an exogenous instrument. But more often than not you can’t get this result.

If the “good studies” are good, the other studies must be “bad”. This isn’t science, it’s a fishing expedition.

4. Free capital movements for developing countries should usher in macroeconomic stability. Ask Argentina, Thailand, and Indonesia. Sometimes this proposition will be true, it is simply not as true as we once thought. If you don’t do all your reforms to perfection, and perhaps even if you do, international capital markets may put you through the wringer.

This has elements of the scientific method, in that it represents the refinement of a model based on experience. But the resulting model is merely qualitative; it has no predictive power.

5. Immediate privatization is more important than establishing the rule of law [in ex-Communist countries]. Arguably the jury is still out on this one. We haven’t observed the other sequencing in many cases (when has rule of law come first?) and thus we do not have the relevant counterfactual. But privatization alone is less effective than we used to think, pick almost any ex-Communist country as an example.

First, the proposition isn’t a valid scientific hypothesis because neither “privatization” nor “the rule of law” can be quantified. Second, if the hypothesis was widely believed among economists, that only goes to show the naiveté of economists.

6. It is relatively easy for a disinflation to be credible, provided the government sticks to its guns.

This is another untestable hypothesis, which Cowen “disproves” by referring to a theoretical analsyis. Wouldn’t it be great if science were always so easy?

7. Fairness perceptions, envy, and a stubborn attachment to the status quo have little to do with nominal wage stickiness. OK, this one remains up for grabs. But the evidence is mounting in favor of the importance of fairness perceptions; furthermore this is strongly consistent with my real world experience.

So, the original hypothesis — if you can call it that — hasn’t been disproved, after all. But that doesn’t matter, because if you can disprove a scientific hypothesis with a theoretical analysis (as in number 7), I guess you can disprove it with a few “real world” observations.

8. Human beings maximize expected utility in the same way, regardless of context. But now, alas, I despair as to how general a science economics can ever become.

My point, exactly.

Economics will approach being a science only when its practitioners finally make an unambiguously scientific breakthrough, such as accurately and consistently predicting near-term changes in GDP. Barring that, economics will remain what it is today: a cacophony of competing untestable hypotheses, shaped by ideology, and justified by decorative mathematics and selective statistics.

About Economic Forecasting

In the the previous post I disparaged the ability of economists to estimate the employment effects of the minimum wage. I’m skeptical because economists are notoriously bad at constructing models that adequately predict near-term changes in GDP. That task should be easier than sorting out the microeconomic complexities of the labor market.

Take Professor Ray Fair, for example. Prof. Fair teaches macroeconomic theory, econometrics, and macroeconometric models at Yale University. He has been plying his trade since 1968, first at Princeton, then at M.I.T., and (since 1974) at Yale. Those are big-name schools, so I assume that Prof. Fair is a big name in his field.

Well, since 1983, Prof. Fair has been forecasting changes in real GDP over the next four quarters. He has made 80 such forecasts based on a model that he has undoubtedly tweaked over the years. The current model is here. His forecasting track record is here. How has he done? Here’s how:

1. The median absolute error of his forecasts is 30 percent.

2. The mean absolute error of his forecasts is 70 percent.

3. His forecasts are rather systematically biased: too high when real, four-quarter GDP growth is less than 4 percent; too low when real, four-quarter GDP growth is greater than 4 percent.

4. His forecasts have grown generally worse — not better — with time.

How hard can it be to forecast the direction and magnitude of macroeconomic activity given the plethora of relevant data at hand? It can’t be as hard as estimating the employment effects of changes in the minimum wage, where such effects are subtle and perhaps impossible to measure (e.g., employers shave unmandated employee benefits or allow working conditions to deteriorate; businesses are not continued or started that might otherwise continue or start).

By the way, Prof. Fair also has a model of presidential elections that he first published in 1978 and has tweaked six times. (Links are here.) According to the current model, Pres. Bush will receive 51.7 percent of the popular vote even under three extreme conditions: zero percent real GDP growth in the first three quarters of 2004, 5 percent growth in the GDP deflator over the first 15 quarters of the Bush administration, and zero quarters (out of the first 15) with real GDP growth at an annual rate of more than 3.2 percent. In other words, a Republican incumbent is a shoo-in for re-election. Ha!

I rest my case.

So, It’s Not About Religion?

From BBC News World Edition:

Iraq captors ‘free Turk hostages’

Three Turkish men kidnapped by militants in Iraq last week have been released, say Turkish government officials.

The men were apparently held by a group linked to a man said to be al-Qaeda’s Iraq chief – Abu Musab al-Zarqawi.

A masked man in a video aired by Arab TV al-Jazeera said the men were freed because Turkey’s Muslims had protested against the US.

The kidnappers had earlier threatened to behead the men.

Today’s Notable Birthday

Sir Robert Watson-Watt (1892-1973) was born on this date.

Watson-Watt invented radar in 1935, specifically for the purpose of detecting aircraft. His “pioneering work…resulted in the design and installation of a chain of radar stations along the East and South coast of England in time for the outbreak of war in 1939. This system…provided the vital advance information that helped the Royal Air Force to win the Battle of Britain.” (From Radar Personalities: Sir Robert Watson-Watt.)

Had the Battle of Britain gone the other way, Hitler probably would have invaded England. A successful invasion would have sundered the U.S.-British alliance and ensured Hitler’s victory in Europe.