The following guest post was contributed by Andrew Biggs. He has studied the issue of retirement savings for a couple of orders of magnitude longer than I, so I wanted to give him the opportunity to outline his perspective on the topic. He regularly blogs on his own blog and, along with about four dozen other people, over here.
After our exchange regarding Tuesday’s blog on The Retirement Problem in the Washington Post (which started over at AEI’s Enterprise blog and continued here), James generously offered to let me guest-post my thoughts on Americans’ level of preparation for retirement. Overall I’m not so pessimistic, although there are surely problems that must be addressed. But most of the detailed research out there points to problems, but not a crisis.
Both James’s analysis and my own response were built on relatively simple projections using stylized workers who pay into Social Security and participate in 401(k) plans. These illustrations are useful for fleshing out basic issues – plus, in this case, finding how the SSA’s online benefit calculator may have skewed some of the results.
But the best research on retirement preparedness is more involved than this. Most analysis of current retirees uses survey data, such as from the Health and Retirement Study (HRS), the Survey of Income and Program Participation (SIPP), the Fed’s Survey of Consumer Finances (SCF) and the Current Population Survey (CPS). Each survey has strengths and weaknesses.
In addition, broader models of the population are built using this survey data. These models allow for simulations of how policy changes affect current retirees, as well as projecting the population into the future. Such comprehensive models include the Social Security Administration/Urban Institute MINT (Modeling Income in the Near Term) model, the Congressional Budget Office’s CBOLT (CBO Long Term) and the Policy Simulation Group’s PSG suite of models, used by the Government Accountability Office and the Department of Labor for Social Security and private pension projections. While these models, like any others, rely on assumptions regarding a large number of factors, they are also the most closely scrutinized to ensure these assumptions are consistent with current trends.
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