Nevin's Data "Points"

It is routinely reported that 10,000 Baby Boomers are retiring every day, and yet surveys continue to indicate that Americans plan to postpone retirement. This raises the question: are more older Americans working? A recent Wall Street Journal article notes  (subscription required) that one of the biggest changes in the U.S. labor market over the past two decades has been the increasing number of people working over the age of 55. As recently as 1993, only 29% of people that age were in the labor force, but by 2012 more than 41% of that age group were still in the labor force, the highest since the early 1960s. It’s hard to find a workplace survey these days that doesn’t find workers planning to work past the traditional retirement age of 65. For example, a recent survey by the Federal Reserve found that fewer than one in five workers age 55 to 64 planned to follow the traditional retirement model of working full time until a set date and then stop working altogether. A recent

The use of assumptions was the focus of a recent report from the Employee Benefit Research Institute (EBRI), which not only highlighted the assumptions used in two separate retirement studies, but illustrated a real problem with their results. The EBRI report examined two earlier  studies — one by Pew Trusts, the other by the Center for Retirement Research at Boston College — that purported to show that the retirement prospects for Gen Xers were worse than those of the Baby Boomers. The EBRI report not only highlighted the questionable assumptions, but took the time to quantify the impact (see “ EBRI Report Calls Out Pew, CRR on Retirement Conclusions ”). Such public criticisms are a rarity, as evidenced by the media coverage accompanying the release of the EBRI report. As recently as a few years ago, I would have assumed that findings published by credentialed individuals associated with a reputable institution of higher learning could be taken at face value, if only because I ass

I joined EBRI with a passion for the insights that quality research can provide, and a modest concern about the dangers that inaccurate, sloppy, and/or poorly constructed methodologies and the flawed conclusions and recommendations they support can wreak on policy decisions.  While my tenure here has only served to increase my passion for the former, on (too) many occasions I have been struck not only by the breadth of assumptions made in employee benefit research, but just how difficult – though not impossible – it is for a non-researcher to discern those particulars. We have over the past couple of years devoted some of this space to highlighting some of the most egregious instances, but as I close this chapter of my professional career, I wanted to share with you a “top 10” list of things I have learned in my search to find reliable, objective, actionable research: There are always assumptions in research; find out what they are. Garbage in, garbage out, after all (the harder yo

A few months back, I was intrigued to catch several episodes of “Cosmos,” an updated version of the classic 1980 Carl Sagan series.  Along with the significantly expanded and enhanced visuals and (to me, anyway, generally annoying) animations, the series recounted the work, travails and accomplishments of Edmond Halley, who, even today, is probably best remembered for the comet whose 75-year cycle he identified and which still, as Halley’s Comet, bears his name. Halley wasn’t the first to see the comet, of course – in fact, it had been recorded by Chinese astronomers as far back as 240 BC, noted subsequently in Babylonian records, and perhaps most famously shortly before the 1066 invasion of England by William the Conqueror (who claimed the comet’s appearance foretold his success).  Halley noted appearances by the comet in 1531, 1607 and 1682, and based on those prior observations – and the application of the work and mathematical formulas of his friend Isaac Newton – predicted the