Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 11 - 20 of 29
Study Type: Causal Impact Analysis
Experiments using U.S. households The study’s objective was to examine whether increases in the number of funds offered in a retirement plan caused investors to allocate their contributions more…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of having a borrowing option in a defined contribution (DC) pension plan on contribution rates and total debt. The authors used data from the United…Study Type: Causal Impact Analysis
The study examined the impact of providing information about employer contribution matches and penalty-free withdrawal rules on 401(k) contribution rates. These features created an opportunity for…Study Type: Causal Impact Analysis
The study’s key objective was to examine the impact of Quick Enrollment, an option enabling individuals to more quickly and easily enroll in a retirement savings plan, on plan enrollment rates and…Study Type: Causal Impact Analysis
The study’s objective was to assess the effect of a retirement planning aid on encouraging new hires at a large institution to enroll in a supplemental retirement account (SRA). The authors…Study Type: Causal Impact Analysis
The study examined the impact of requiring employees at a large, U.S.-based company to actively choose the asset allocation for an employer’s matching 401(k) contributions, rather than automatically…Study Type: Causal Impact Analysis
The study examined the impact of requiring employees to actively decide whether to enroll in a 401(k) plan, called active-decision enrollment, on newly hired employees’ 401(k) enrollment decisions…Reducing the Complexity Costs of 401(k) Participation through Quick Enrollment (Laibson et al. 2009)
Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of a simplified 401(k) enrollment procedure called Quick Enrollment on plan participation through three trials at two anonymous companies (two trials…Study Type: Causal Impact Analysis
The study’s objective was to determine whether tax policies that differently frame the rollover of lump-sum distributions (LSDs) from defined-contribution retirement plans into tax-preferred funds…Study Type: Causal Impact Analysis
The report’s objective was to examine the impact of choice architecture—that is, aspects of a savings plan’s structure and enrollment process—on 401(k) savings decisions. The authors discussed five…
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.