This Center for Retirement Research (CRR) policy brief resolves an apparent puzzle: the Social Security Administration's (SSA) policy model replacement rate for the median earner (42%) and the actual average replacement rate for new retirees (also ~42%) produce the same number despite using entirely different methods. Munnell and Soto show this agreement is pure coincidence — three methodological differences happen to offset each other. The brief clarifies the distinction between career-average earnings and Average Indexed Monthly Earnings (AIME) as replacement rate denominators, and documents the impact of earnings gaps and early claiming on actual versus hypothetical replacement rates.
"The two approaches happen to produce the same number for the median earner. However, this result is strictly a coincidence as the two methods involve different measures of pre-retirement earnings, different employment patterns, and different retirement ages."
"That the two numbers turn out to be the same is enough to drive a policy wonk crazy!"
A concise methodological note that every researcher using Social Security replacement rates should read. The key insight — that AIME and career-average earnings are different denominators producing systematically different replacement rate measures — is easy to miss and consequential for cross-study comparisons. The brief is Old-Age and Survivors Insurance (OASI)-focused (retirement, not disability insurance [DI]), but the AIME machinery is identical for DI replacement rate calculations, so the measurement clarity applies directly. The three-factor coincidence is a cautionary tale about using any single replacement rate number at face value without understanding what denominator it uses.