www.harpers.org/archive/2008/05/0082023
Bad Money: Reckless Finance, Failed Politics, and the Global Crisis of American Capitalism, is published Viking. Almost four decades have passed since the United States scrapped its last currency ties to precious metals. Our copper and nickel coinage still retains some metallic value, but not nearly enough for the purpose of currency tampering--the historic temptation of inflation-plagued or otherwise wayward governments, including, at times, our own. Instead, since the 1960s, Washington has been forced to gull its citizens and creditors by debasing official statistics: the vital instruments with which the vigor and muscle of the American economy are measured. The effect, over the past twenty-five years, has been to create a false sense of economic achievement and rectitude, allowing us to maintain artificially low interest rates, massive government borrowing, and a dangerous reliance on mortgage and financial debt even as real economic growth has been slower than claimed. If Washington's harping on weapons of mass destruction was essential to buoy public support for the invasion of Iraq, the use of deceptive statistics has played its own vital role in convincing many Americans that the US economy is stronger, fairer, more productive, more dominant, and richer with opportunity than it actually is. The corruption has tainted the very measures that most shape public perception of the economy--the monthly Consumer Price Index (CPI), which serves as the chief bellwether of inflation; the quarterly Gross Domestic Product (GDP), which tracks the US economy's overall growth; and the monthly unemployment figure, which for the general public is perhaps the most vivid indicator of economic health or infirmity. Not only do governments, businesses, and individuals use these yardsticks in their decision-making but minor revisions in the data can mean major changes in household circumstances--inflation measurements help determine interest rates, federal interest payments on the national debt, and cost-of-living increases for wages, pensions, and Social Security benefits. And, of course, our statistics have political consequences too. An administration is helped when it can mouth banalities about price levels being "anchored" as food and energy costs begin to soar. The truth, though it would not exactly set Americans free, would at least open a window to wider economic and political understanding. Readers should ask themselves how much angrier the electorate might be if the media, over the past five years, had been citing 8 percent unemployment (instead of 5 percent), 5 percent inflation (instead of 2 percent), and average annual growth in the 1 percent range (instead of the 3-4 percent range). We might ponder as well who profits from a low-growth US economy hidden under statistical camouflage. Might it be Washington politicos and affluent elites, anxious to mislead voters, coddle the financial markets, and tamp down expensive cost-of-living increases for wages and pensions? Let me stipulate: the deception arose gradually, at no stage stemming from any concerted or cynical scheme. There was no grand conspiracy, just accumulating opportunisms. As we will see, the political blame for the slow, piecemeal distortion is bipartisan--both Democratic and Republican administrations had a hand in the abetting of political dishonesty, reckless debt, and a casino-like financial sector. To see how, we must revisit forty years of economic and statistical dissembling. A short history of "pollyanna creep" This apt phrase originated with John Williams, a California-based economic analyst and statistician who "shadows," as he puts it, the official Washington numbers. In a 2006 interview, Williams noted that although few Americans ever see the fine print, the government "always footnotes the changes and provides all the fine detail. Nonetheless, some of the changes are nothing short of remarkable, and the pattern over time is what I call Pollyanna Creep." Williams is one of the small group of economists and analysts who have paid any attention to the phenomenon. A few have pointed out the understatement of the Consumer Price Index--the billionaire bond manager Bill Gross has described it as an "haute con job," and Bloomberg columnist John Wasik has dismissed it as "a testament to the art of spin." In 2003, a University of Chicago economist named Austan Goolsbee (now a senior economic adviser to Barack Obama's presidential campaign) published an op-ed in the New York Times pointing out how the government had minimized the depth of the 2001-2002 US recession, having "cooked the books" to misstate and minimize the unemployment numbers. Unfortunately, the critics have tended to train their axes on a single abuse, missing the broad forest of statistical misinformation that has grown up over the past four decades. The story starts after the inauguration of John F Kennedy in 1961, when high jobless numbers marred the image of Camelot-on-the-Potomac and the new administration appointed a committee to weigh changes. The result, implemented a few years later, was that out-of-work Americans who had stopped looking for jobs--even if this was because none could be found--were labeled "discouraged workers" and excluded from the ranks of the unemployed, where many, if not most, of them had been previously classified. Lyndon Johnson, for his part, was widely rumored to have personally scrutinized and sometimes tweaked Gross National Product numbers before their release; and by the 1969 fiscal year, Johnson had orchestrated a "unified budget" that combined Social Security with the rest of the federal outlays. This innovation allowed the surplus receipts in the former to mask the emerging deficit in the latter. Richard Nixon, besides continuing the unified budget, developed his own taste for statistical improvement. He proposed--albeit unsuccessfully--that the Labor Department, which prepared both seasonally adjusted and non-adjusted unemployment numbers, should just publish whichever number was lower. In a more consequential move, he asked his second Federal Reserve chairman, Arthur Burns, to develop what became an ultimately famous division between "core" inflation and headline inflation. If the Consumer Price Index was calculated by tracking a bundle of prices, so-called core inflation would simply exclude, because of "volatility," categories that happened to be troublesome: at that time, food and energy. Core inflation could be spotlighted when the headline number was embarrassing, as it was in 1973 and 1974. This methodology, controversial at the time but still in place today, simply sidestepped what was happening in the real world of homeowner costs. Because low inflation encourages low interest rates, which in turn make it much easier to borrow money, the BLS's decision no doubt encouraged, during the late 1980s, the large and often speculative expansion in private debt--much of which involved real estate, and some of which went spectacularly bad between 1989 and 1992 in the savings-and-loan, real estate, and junk-bond scandals. Also, on the unemployment front, as Austan Goolsbee pointed out in his New York Times op-ed, the Reagan Administration further trimmed the number by reclassifying members of the military as "employed" instead of outside the labor force. The distortional inclinations of the next president, George HW Bush, came into focus in 1990, when Michael Boskin, the chairman of his Council of Economic Advisers, proposed to reorient US economic statistics principally to reduce the measured rate of inflation. His stated grand ambition was to move the calculus away from old industrial-era methodologies toward the emerging services economy and the expanding retail and financial sectors. Skeptics, however, countered that the underlying goal, driven by worry over federal budget deficits, was to reduce the inflation rate in order to reduce federal payments--from interest on the national debt to cost-of-living outlays for government employees, retirees, and Social Security recipients. It was left to the Clinton Administration to implement these convoluted CPI measurements, ...
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