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利用面板数据预测未来退休人员的退休收入:近期收入建模(MINT)项目的结果。

Projecting retirement income of future retirees with panel data: results from the modeling income in the near-term (MINT) project.

作者信息

Butrica B A, Iams H M

出版信息

Soc Secur Bull. 1999;62(4):3-8.

Abstract

Cross-sectional data capture only a point in time and miss individual changes in earnings, labor force participation, marriage, fertility, and health. Because panel data follow individuals over time, they do not have this problem. The problems or concerns with cross-sectional data may be compounded when these data are used to make projections. Iams and Sandell (1997) found that using panel data on earnings explained much more variation in future earnings than using cross-sectional survey data. Panel data are also needed to estimate Social Security benefits, especially for women. Because of auxiliary benefits paid to spouses, ex-spouses, and widow(er)s of entitled workers, an individual's Social Security retirement benefit depends not only on his or her earnings history, but also on his or her marital history and the earnings histories of current and previous spouses. When we compare projected unreduced Social Security benefits with what they would be if we didn't have marital history or earnings history data for men, we find that: Benefits computed using only earnings histories are not very different from benefits computed using both earnings and marital histories. Benefits computed using only current earnings and marital histories underestimate benefits for those in earlier birth cohorts and overestimate benefits for those in the most recent birth cohort. Benefits computed without either marital or earnings histories underestimate benefits for all birth cohorts, but by much more for earlier cohorts than for more recent cohorts. For women we find that benefits computed without marital or earnings histories underestimate benefits in all birth cohorts. The largest differences are for women in earlier birth cohorts. Using both marital and earnings histories to estimate unreduced Social Security benefits, we find that men are projected to continue receiving higher benefits than women, although the gap is expected to narrow as the baby boomers near retirement age. We also look at the composition of projected total income available at retirement for those with incomes in the 45th-55th percentiles of the income distribution and find that: Total income at retirement is projected to be larger for men than for women in every birth cohort. Women are projected to receive the largest share of their total income from Social Security benefits. Men are projected to receive the largest share of their total income from other income sources, although this share declines as the baby boomers near retirement age.

摘要

横截面数据仅捕捉某一时刻的情况,会遗漏收入、劳动力参与、婚姻、生育和健康方面的个体变化。由于面板数据随时间跟踪个体,所以不存在这个问题。当使用这些横截面数据进行预测时,横截面数据的问题或担忧可能会更加复杂。艾姆斯和桑德尔(1997年)发现,使用收入面板数据比使用横截面调查数据能解释更多未来收入的变化。估计社会保障福利也需要面板数据,尤其是对女性而言。由于向有资格领取福利的工人的配偶、前配偶和鳏寡支付辅助福利,个人的社会保障退休福利不仅取决于其收入历史,还取决于其婚姻历史以及现任和前任配偶的收入历史。当我们将预计的未减少的社会保障福利与如果没有男性的婚姻历史或收入历史数据时的福利进行比较时,我们发现:仅使用收入历史计算的福利与同时使用收入和婚姻历史计算的福利没有太大差异。仅使用当前收入和婚姻历史计算的福利低估了较早出生队列人群的福利,高估了最近出生队列人群的福利。不使用婚姻或收入历史计算的福利低估了所有出生队列人群的福利,但较早队列人群的低估幅度比最近队列人群大得多。对于女性,我们发现不使用婚姻或收入历史计算的福利低估了所有出生队列人群的福利。差异最大的是较早出生队列的女性。使用婚姻和收入历史来估计未减少的社会保障福利,我们发现预计男性继续比女性获得更高的福利,尽管随着婴儿潮一代接近退休年龄,差距预计会缩小。我们还研究了收入分布处于第45至55百分位的人群退休时预计的总可用收入构成,发现:每个出生队列中,预计男性退休时的总收入都高于女性。预计女性总收入中社会保障福利所占份额最大。预计男性总收入中其他收入来源所占份额最大,尽管随着婴儿潮一代接近退休年龄,这一份额会下降。

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