This topic area focuses on interventions grounded in behavioral economics that aim to increase individuals’ savings for retirement. These interventions leverage observations about how employees’ choices differ from the predictions of standard economic models in order to affect behavior. CLEAR assesses the quality of existing causal evidence for this topic area, using other types of research as background and context.
Behavioral Finance: Retirement
Status: Literature reviewed in this topic area currently covers 1996 - 2016.
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 - 33 of 33
Study Type: Causal Impact Analysis
The study’s objective was to determine the impact of receiving information about tax-deferred retirement accounts (TDAs) on enrollment in the accounts. The study used a randomized controlled trial (…Study Type: Causal Impact Analysis
The study examined the impact of two simultaneously implemented changes in the 401(k) plan of a large, Fortune 500 company: (1) automatic enrollment into the plan immediately after hire (a change…Study Type: Causal Impact Analysis
The study’s objective was to determine whether 401(k) plan characteristics, including the number of total investment options offered by a 401(k) plan and the requirements for whether employers’…
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.