Social Security Bulletin, Vol. 73 No. 4
Released November 2013
by April Yanyuan Wu, Nadia S. Karamcheva, Alicia H. Munnell, and Patrick J. Purcell
Changes in the role of women in the economy and in the family have affected both the amount and the type of Social Security benefits they receive in retirement. Women's labor force participation rate increased from less than 40 percent in 1950 to more than 70 percent in 2011. Over much of the same period, marriage rates fell and divorce rates rose. This article examines how women's higher earnings and lower marriage rates have affected Social Security replacement rates over time for individuals and for households.
by David Pattison and Hilary Waldron
We find that three factors—(1) population growth, (2) the growth in the proportion of women insured for disability, and (3) the movement of the large baby boom generation into disability-prone ages—explain 90 percent of the growth in new disabled-worker entitlements over the 36-year subperiod (1972–2008). The remaining 10 percent is the part attributable to the disability “incidence rate.” Looking at the two subperiods (1972–1990 and 1990–2008), unadjusted measures appear to show faster growth in the incidence rate in the later period than in the earlier one. This apparent speedup disappears once we account for the changing demographic structure of the insured population. Although the adjusted growth in the incidence rate accounts for 17 percent of the growth in disability entitlements in the earlier subperiod, it accounts for only 6 percent of the growth in the more recent half. Demographic factors explain the remaining 94 percent of growth over the 1990–2008 period.
by Benjamin Bridges and Robert V. Gesumaria
In November 2011, the Census Bureau released its first report on the Supplemental Poverty Measure. The SPM addresses many criticisms of the official poverty measure and is intended to provide an improved statistical picture of poverty. This article examines the extent of poverty identified by the two measures. First, we look at how the SPM and official estimates differ for various aged and nonaged groups. Then, we look at why the SPMpoverty rate for the aged is much higher than the official rate.