The older workers topic area examines a broad range of employment and training programs funded by the U.S. Department of Labor, Employment and Training Administration and other organizations and broad federal or state policies that support and/or improve the employment prospects and financial security of workers age 40 and older. CLEAR assessed the strength of causal evidence provided in each study and summarized each study’s design, methods, findings, and the intervention examined.
Older Workers
Status: Literature reviewed in this topic area currently covers 2005 – 2017.
Synthesis Reports
Synthesis reports look at the research evidence across studies within a topic area. They also highlight gaps in the literature, and suggest areas in which further research is needed.
Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 31 - 40 of 46
Study Type: Causal Impact Analysis
The study examined whether the strength of state age discrimination protections affected rates of Social Security benefit claiming and employment outcomes of older workers. The study used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of employer-provided retiree health insurance on early retirement. The authors used a nonexperimental design to compare early retirement outcomes of…Study Type: Causal Impact Analysis
The study examined the impact of uncapping mandatory retirement on retirement ages at postsecondary institutions The study used a statistical model to examine the age of retirement before and after…Study Type: Causal Impact Analysis
The study examined the impact of pension reform under the California State Teachers’ Retirement System (CalSTRS) on retirement timing. The author used a statistical model and data from retirement-…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of firm-specific training and general training on older men’s retirement decisions The study used a nonexperimental design and data from the U.S.…Study Type: Causal Impact Analysis
The study examined the impact of Individual Placement and Support (IPS) on competitive employment for older people with schizophrenia The study was a randomized controlled trial (RCT) conducted at a…Study Type: Causal Impact Analysis
The study examined the effect of a progressive income tax on the likelihood of transitioning to self-employment among older workers. The study used a nonexperimental approach (the exponential hazard…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of flexibility in hours of work on the likelihood that older workers separate from an employer. The study used a statistical model to compare the job…Study Type: Causal Impact Analysis
The study examined the impact of changes in Social Security Administration (SSA) retirement rules on men’s labor force participation rates in the 1960s–1980s and 1990s–2000s. The study used…Study Type: Causal Impact Analysis
The study objective is to examine the impact of the Personal Responsibility and Work Opportunity Reconciliation Act (PRWORA) of 1996 on employment outcomes of foreign-born people and noncitizens…
CLEAR Icon Key
Below is a key for icons used to indicate important details about a study, such as its type, evidence rating, and outcome findings.
High Causal Evidence
Strong evidence the effects are caused by the examined intervention.
Moderate Causal Evidence
Evidence that the effects are caused to some degree by the examined intervention.
Low Causal Evidence
Little evidence that the effects are caused by the examined intervention.
Causal Impact Analysis
Uses quantitative methods to assess the effectiveness of a program, policy, or intervention.
Descriptive Analysis
Describes a program, policy, or intervention using qualitative or quantitative methods.
Implementation Analysis
Examines the implementation of a program, policy, or intervention.
Favorable
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts.
Mixed
The study found some favorable and some unfavorable impacts in the outcome domain.
None
The study found no statistically significant impacts in the outcome domain.
Unfavorable
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts.
Not applicable
Not applicable because no outcomes were examined in the outcome domain.
Favorable - low evidence
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Mixed - low evidence
The study found some favorable and some unfavorable impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
None - low evidence
The study found no statistically significant impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Unfavorable - low evidence
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.