title: Increased wealth and income as correlates of self-assessed retirement.
abstract: This study examined whether retirement implies complete withdrawal from the labor force and the role that increased wealth and income play in regard to the nature of retirement. Data came from the Health & Retirement Study, Waves 1-5. Findings indicated that most study sample pre-retirees remained in the labor force as they moved into what are considered the normal retirement years. As they moved on average from 50+ years of age to 60+ years of age, increasing percentages of study sample pre-retirees reported themselves as completely retired. Those who viewed themselves as completely retired were far less likely to work than those who did not view themselves as completely retired. Of particular importance was the finding that increased income in 2000 decreased the likelihood of self-reported complete retirement. Equally important was the finding that increased assets had no effect on retirement status with the exception of survey year 1998 when increased assets decreased the likelihood of viewing oneself as completely retired. Findings suggested that pro-work retirement policies aimed at increasing labor force participation among pre-retirees and increasing the normal retirement age can be effective. Five pro-work policies were discussed.
authors.affiliation: Yeshiva University-Wilf Campus, Wurzweiler School of Social Work, Belfer Hall, 2495 Amsterdam Ave, New York, NY 10033-3299, USA. caputo@yu.edu
authors.forename: Richard K
authors.initials: RK
authors.lastname: Caputo
mesh_terms: D000368:Aged; D003625:Data Collection; D004651:Employment / Q000191:economics* / Q000523:psychology; D005260:Female; D005382:Financing, Personal / Q000706:statistics & numerical data / Q000639:trends*; D006801:Humans; D007182:Income / Q000706:statistics & numerical data / Q000639:trends*; D007407:Interviews as Topic; D008297:Male; D008875:Middle Aged; D009042:Motivation; D016134:Organizational Policy; D010415:Pensions / Q000706:statistics & numerical data; D012179:Retirement / Q000191:economics* / Q000523:psychology; D012647:Self-Assessment; D012943:Social Security / Q000706:statistics & numerical data / Q000639:trends*; D012959:Socioeconomic Factors; D014481:United States