Review Protocol
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Older Workers
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.
Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
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Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study examined the impact of a time and place management (TPM) initiative at a medical provider on retirement expectations among workers ages 50 and older. The study was a randomized control... -
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study examined the impact of tax changes on people’s employment, retirement, and labor income outcomes. The study uses a nonexperimental approach and the data from the Health and Retirement Study... -
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study examined the impact of changes to the Full Retirement Age (FRA) on labor force exit, Old Age and Survivor’s Insurance (OASI) claims, and retirement. The study uses a statistical model and... -
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study examined the effect of availability of retiree health insurance (RHI) on a person’s decision to leave a career job (a measure of retirement). Using data from the Health and Retirement Study... -
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study examined the impact of a theoretical increase in Supplemental Security Income (SSI) benefits on the preretirement employment outcomes for likely SSI participants ages 60 to 64. Using data... -
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study examined the relationship between generous state Supplemental Security Income (SSI) benefits and the employment of older worker nearing SSI eligibility age. The authors used a regression... -
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study examined the impact of the strength of state disability discrimination laws on hiring rates of older men. The study used statistical models and data from the Health and Retirement Study and... -
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study examined the impact of the Social Security statements issued by the Social Security Administration (SSA) on older men’s annual hours worked. The authors used a nonexperimental design and... -
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study examined the impact of the expansion of health insurance for veterans through the U.S. Department of Veterans Affairs (VA) in the mid-1990s (as a result of the implementation of the Veteran... -
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study examined the impact of the repeal of the earnings test under the Senior Citizens Freedom to Work Act of 2000 on the labor supply and earnings of older men ages 62 to 72. The authors used a...
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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.
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High Causal Evidence
Strong evidence the effects are caused by the examined intervention.
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Moderate Causal Evidence
Evidence that the effects are caused to some degree by the examined intervention.
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Low Causal Evidence
Little evidence that the effects are caused by the examined intervention.
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Causal Impact Analysis
Uses quantitative methods to assess the effectiveness of a program, policy, or intervention.
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Descriptive Analysis
Describes a program, policy, or intervention using qualitative or quantitative methods.
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Implementation Analysis
Examines the implementation of a program, policy, or intervention.
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Favorable
The study found at least one favorable impact in the outcome domain, and no unfavorable impacts.
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Mixed
The study found some favorable and some unfavorable impacts in the outcome domain.
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None
The study found no statistically significant impacts in the outcome domain.
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Unfavorable
The study found at least one unfavorable impact in the outcome domain, and no favorable impacts.
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Not applicable
Not applicable because no outcomes were examined in the outcome domain.
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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.
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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.
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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.
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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.