Keynesianism Reconsidered

The current global financial crisis has proven profoundly resistant to typical Keynesian solutions. Interest rates have been reduced to nearly zero, the money supply is being expanded indefinitely, and fantastic levels of government spending are proposed, yet the stock market continues to fall, investors flock to gold and other safe havens, and banks refuse to extend credit. Whatever merits Keynesianism may have in a crisis of supply or demand, it is not a panacea for every type of economic problem, as was proved by the stagflation of the 1970s. Not all government interventions stimulate production and consumption, nor is it always economically wise for the government to attempt such stimulation.

The current crisis is the product of a burst credit bubble, fueled in large part by U.S. mortgage-backed securities and derivative financial instruments. Most Americans are only able to acquire substantial wealth through equity in a home or other real estate, and this has been facilitated by long-term mortgages, the primary mechanism of home “ownership” in the U.S. since the 1930s. In the last twenty years, a bewildering array of more complicated mortgages, with variable interest rates and even interest-only payments, have made home “ownership” more accessible, resulting in a housing boom. However, many of these mortgages were issued to people who ultimately could not pay, either because their credit risk was ignored or the terms were too complicated and interest rate changes made the mortgage unaffordable. An increase in defaults, combined with a collapse in the value of mortgage-backed securities, further magnified by irresponsible overleveraging in the financial sector, resulted in a crisis where investment banks no longer knew the value of their securities (since these were complex mixtures of many mortgages) and institutions were reluctant to lend. Housing prices fell even more, as the cost of housing in the U.S. had been artificially driven up by the ease of obtaining large mortgage loans, yet homeowners were still obligated to pay according to their original terms. Real estate has ceased to be an effective means of adding wealth, as the long-term value of a home does not appreciate better than the price of gold.

Since Americans have little savings, and many of them have lost their primary means of obtaining wealth, the most rational thing for them to do is spend less and save more. A Keynesian stimulus of consumption would be an irrational demand for people to act contrary to their best interest. Similarly, the burst of the housing bubble and corresponding depreciation of securities is the result of an overvaluation of assets that is now being corrected. It is only natural, therefore, that banks should wish to build up their assets before lending extensively. We should not be surprised, then, that beneficiaries of last year’s Troubled Assets Relief Program (TARP) have done just that. Interest rates were fairly low even before the crisis, and the government has made it known for several months that it will print money ad infinitum if necessary, yet banks still are reluctant to lend. This is because the Keynesian remedy of easy credit and an infinite money supply cannot induce private entities to act against their own interests.

Nonetheless, there is a danger of a vicious cycle, as the rational behavior of banks forces businesses to contract, as they can not rely on as much credit as previously. A contraction in industry raises unemployment, and weakens the basis of the economy, causing further contraction. On the one hand, it is certainly a good thing for businesses to be less dependent on credit, but on the other hand, the optimization of private enterprise depends on a consolidation of capital, which often means large costs up front, requiring lines of credit or some other form of investment. Therefore it would be wise for the government to pursue policies that encourage or stimulate capital investment. Not only is this critical to breaking the downward spiral of consumption and production, but it would also show a commitment to long-term growth. When a government program guarantees long-term benefit to a company, that company will feel secure in expanding its operations, including hiring more employees. People are intelligent enough to realize that a one-time payout will not help them in the long term, so that sort of stimulus will be ineffective, as people will not use the money for capital investment.

Just as the Bush administration failed to recognize that not all tax cuts stimulate growth, so the Obama administration has apparent difficulty understanding that not all spending plans stimulate capital investment. Mr. Obama recently defended his proposed program to upgrade the light fixtures in government buildings as beneficial simply by virtue of the fact that it “creates jobs,” neglecting to realize that even digging a ditch and filling it “creates jobs,” yet has no long-term benefit. A one-time construction project or other government contract will help a company’s balance sheet, but it is not a long-term guarantee, so the company will not make capital investments or permanent expansion in payroll. Good spending programs will specifically finance capital investments: physical plants, engineering research, transportation infrastructure. Government assistance for these investments secures long-term benefit for businesses, and circumvents the current lack of credit availability.

Another means of stimulating capital investment and job creation is to reduce the cost of these through tax cuts. A reduction in the long-term capital gains tax will make it worthwhile for small investors to buy equities, without rewarding speculators. More generous tax exemptions for capital assets will encourage capital investment, and a reduction in payroll taxes would make hiring more affordable, as well as create more long-term disposable income for the working class. Other significant ways to reduce cost include reforming the economically dysfunctional healthcare system (a legacy of 1930s politics and the ill-conceived HMO Act of 1973), and tackling the cost of higher education, a principal source of large individual debt, perhaps by improving secondary education. It is unlikely that the current administration has the mettle to overcome the formidable entrenched interests defending the status quo on health care and education, but Mr. Obama has at least acknowledged that both parties will need to re-evaluate their traditional positions on entitlements.

Determining economic policies is a tricky business, since one can never be sure of a policy’s effectiveness, as we will never know the counterfactual. Economists debate to this day whether the New Deal prolonged or shortened the Depression; there is no way to resolve the question empirically. A national economy is a highly complex, non-linear system, so we should expect it to be unpredictable, and hesitate to equate correlation with causality. Further, it is driven not by mindless, random variables, but by thinking human beings, who may thwart our models. For example, a reduction in interest rates designed to boost investor confidence may eventually have the opposite effect, since everyone knows it is intended to boost confidence, and therefore infer that things must be bad. The surest path to achieving the desired result is to pursue policies that are consistent with what is in the rational economic interest of those to be benefited. If it is in someone’s rational interest to save, do not encourage them to spend. Instead, reward capital investment and other activities that directly improve productivity. Short of a command economy, the swiftest means of implementing an economic policy is to make it conform with what private entities would willingly choose for themselves given the opportunity.

Sober Facts from an Overhyped Election

Presidential elections are generally followed by hyperbole about the significance of the outcome, and the American fixation on race has exacerbated the phenomenon this year. Now that some weeks have passed, we might look at the sociological implications more soberly.

Campaign rhetoric notwithstanding, it is hardly the case that the United States has moved into a postracial period. Sen. Obama’s base of electoral support came disproportionately from racial minorities, even for a Democrat. In an election where he won 52% of the total vote, Obama claimed only 43% of the white vote. While 43% is as high as any Democratic candidate of the last 30 years, this is misleading since all those other Democrats were either losing tickets or in three-way races, so they naturally had a lower share of the white vote. If we compare each Democrat’s performance among whites with his share of the overall vote, Obama performed most poorly, as shown in the table below.

Democratic votes by race, 1976-2008

However, we must also note that the white vote has become a progressively smaller share of the electorate. To control for this, we can instead compare the share of the white vote with the share of the non-white vote. Here again, Obama performs poorly compared with recent Democrats, exceeding only the disastrous campaigns of the 1980s.

The ethnic group that decided this election was not whites, where Obama underperformed relative to the strength of his campaign, or blacks, which historically vote overwhelmingly Democratic no matter what, but the Latinos, who have grown to about 9% of the electorate, from about 2% in 1992. The chart below shows that the inroads Bush had made into the Latino electorate were wiped out in this election. The Republicans can no longer afford to neglect Latino voters, so some of them may have to re-examine their nativist stance on immigration and other issues.

Latino votes for president 1976-2008

The shift in the Latino vote is likely related more to economic status than immigration reform, as both candidates were moderates on this issue. Latinos and other minorities that voted two-thirds for Obama are disproportianately in lower income brackets. If we break down voting by family income, we find that the election was decided by those making less than $50,000, which is quite low for the U.S. cost of living. Low-income voters, who now constitute a hefty 38% of the electorate, favored Obama over McCain 60% to 38%, while those making over $50K split 49%-49%.

If we look at the middle and higher income brackets in more detail, we find that the brackets between $50K and $200K split about evenly, slightly favoring McCain. Interestingly, those making $200,000 or more favored Obama 52% to 46%. This suggests a defection of the Rockefeller Republicans, meaning that the GOP, momentarily at least, are not the party of the rich, but have their base in the middle class. It would be wise for them to build on this strength rather than appease the high-income crowd, who constitute only 6% of the electorate, at the expense of the middle class.

Contrary to post-election hyperbole, this election does not indicate a sharp ideological turn toward liberalism. Only 22% of voters self-identify as liberal, compared with 34% who call themselves conservatives. Ironically, the racial minorities who vaulted the Democrats to victory also made possible the defeat of same-sex marriage in California. As the Democrats become increasingly dependent on ethnic minorities for election victories, they may have to respect the social traditionalism of these groups.

In light of these facts, it would be foolish for the Republicans, or indeed any political party that loses an election 52% to 46%, to completely reinvent itself ideologically. Such hysterical overreaction is what doomed the McCain campaign, which was constantly looking for game-changers like the desperate Palin pick. Political success comes through real work, starting with learning the concerns of one’s constituents – which this year were principally economic – and by reaching out and engaging them. Perhaps the most telling statistic regarding the differing energy levels of the campaigns is that the Obama campaign personally contacted 26% of voters, while McCain’s volunteers contacted only 19%.

Now that “change” is upon us, reality will soon set in. Contrary to rhetoric by both campaigns, Obama is a moderate on economic and foreign policy, and this is already being reflected in his cabinet selections. Obama will likely give us more of the same Israeli-leaning policy on Palestine, if his chief of staff Rahm Emmanuel, a hard-line Zionist, is any indication. His choice of Hillary Clinton as Secretary of State is perplexing, considering the only substantial difference between Clinton and Obama is on foreign policy. While it is possible that Obama is trying to patch up rifts with the Clintonites, it is more likely that these appointments reflect his own policy preferences, which, for the most part, are unremarkable Democratic boilerplate. Still, though his ideas are unoriginal, Obama appears to be a genuinely thoughtful man, so the possibility of surprise remains.

Sources

2008 national exit polls
1976-2004 election results by demographic

Studies Show Most Do Not Understand Statistics

In this election season, repeated citations of polls provide reminders of how little even most educated people understand about statistics. I should like to review a few basic errors that cause most people to overvalue the accuracy of polls and other studies based on statistical samplings and correlations.

Journalistic polls often state a “sampling error” of 3 or 4 percentage points. This sampling error is a measure of the statistical error resulting from taking a sample of several hundred or several thousand random people out of the entire population represented. It does not include other sources of error, such as systemic sampling bias resulting from favoring, say, urban over rural respondents, women over men, etc. Thus the total error of a poll is usually more than the stated sampling error. This is why voter exit polls turn out to be inaccurate more frequently than their sampling error would indicate. If the error were truly 3 percent, we would expect the poll to be accurate within that margin of error two-thirds of the time, following a normal distribution.

Understatement of the error is also common in economics. Recently, former Treasury Secretary Robert Rubin opined that the current financial crisis was a “low probability” event, following conventional economic models. However, as Benoit Mandelbrot has pointed out, conventional economic models of asset valuations substantially underestimate risk, since they assume a normal Gaussian distribution of variations in price when a Cauchy distribution would be more accurate. Higher mathematics aside, we could gather as much when we consider that “low probability” events occur with remarkable regularity and frequency. Rubin’s understatement of error in his economic model leads to a tragic failure to appreciate that there may be systemic reasons for our propensity for bubbles and busts; instead, he regards the crisis as a freak occurrence.

Worse still is when polls are advanced to support claims for which they may have little relevance. Telling us that a majority of economists support Candidate X is not an economic argument for Candidate X, any more than a majority of physicists supporting Candidate X would prove the candidate is good for physics. If anything, it tells us about the political affiliations of economists or physicists, which is sociological data, not a scientific argument. Hard science does not work by taking polls of scientists, but demands that reasons be produced for a position.

Medical studies are often interpreted by journalists to prove causality when they only show statistical correlation. A good rule of thumb is to never assume causality unless a clear aetiology can be shown. Here, common sense may serve as an adequate substitute for mathematical expertise. When the consensus on medical wisdom constantly changes in a matter of decades, we can be sure that the facts were never as firmly established as originally claimed. Medical studies understate their errors by failing to take into account measurement error and systemic error in their statistical analysis. Further, they usually show correlations or “risk factors” without demonstrating causality. For these reasons, the certitude of medical wisdom should be viewed skeptically. Lastly, the claim “there is no evidence that X is dangerous” can simply mean no adequate study of the matter has been done.

In all these cases, a healthy skepticism combined with common sense can guard against most statistical fallacies, even when mathematical sophistication is lacking. Mathematics, after all, is wholly derived from intuitive, rational principles, so it cannot yield absurd results. When a presentation of statistical results seems completely contrary to reality, it is usually a safe inference that there is a wrong assumption underlying the analysis. Even sophisticated statisticians can err, though they calculate impeccably, if they misconstrue the assumptions or conditions of the question they believe they are answering. When studies claiming 90 or 95 percent accuracy prove to be inaccurate more than 10 percent of the time, it doesn’t take a mathematician to realize that there is a lot of overclaiming in the soft sciences.

Update: 29 December 2008

To give a current example of misleading statistics, a new study claims that teens making abstinence pledges are no less likely to have premarital sex than those who do not. If that sounds counterintuitive, it is because it is not true. Pledgers indeed are less likely to fornicate, but the current study decided to control for factors such as conservatism, religion, and attitudes about sex, and compared pledgers and non-pledgers with similar characteristics. Unsurprisingly, this yielded no difference, since the pledge itself does not magically cause abstinence, but rather the underlying attitudes and values are the cause. This is a far cry from showing abstinence programs are ineffective. It would be like saying education is ineffective, but rather it is knowledge that changes behavior. Once again, competent scientists blinded by their biases can make inapt choices of groups to compare, and make interpretations that do not follow.