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Related Concept Videos

Decision Making01:20

Decision Making

Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Reason and Intuition01:37

Reason and Intuition

The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the brain can only use...
Decision Making: P-value Method01:09

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
Optimal Foraging00:48

Optimal Foraging

How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
Self-Discrepancy Theory02:45

Self-Discrepancy Theory

One influential perspective on what motivates people's behavior is detailed in Tory Higgin's self-discrepancy theory (Higgins, 1987). He proposed that people hold disagreeing internal representations of themselves that lead to different emotional states.

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Related Experiment Video

Updated: Jun 17, 2026

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
05:48

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

Published on: June 12, 2020

Optimal Defaults and Active Decisions.

Gabriel D Carroll1, James J Choi, David Laibson

  • 1Massachusetts Institute of Technology.

The Quarterly Journal of Economics
|December 31, 2009
PubMed
Summary
This summary is machine-generated.

Requiring individuals to make active decisions about 401(k) enrollment significantly boosts initial participation by 28%. This method accelerates retirement savings compared to standard opt-in procedures.

Related Experiment Videos

Last Updated: Jun 17, 2026

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
05:48

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

Published on: June 12, 2020

Area of Science:

  • Behavioral Economics
  • Consumer Decision-Making
  • Retirement Savings

Background:

  • Defaults profoundly influence consumer choices.
  • Standard opt-in enrollment for 401(k) plans often results in suboptimal participation rates.
  • An alternative to defaults is requiring explicit, active decisions.

Purpose of the Study:

  • To investigate the impact of active decisions on 401(k) enrollment.
  • To compare active decision enrollment with standard opt-in procedures.
  • To model optimal enrollment regimes based on consumer behavior.

Main Methods:

  • Empirical study of 401(k) enrollment procedures.
  • Development of a theoretical model for 401(k) enrollment.
  • Analysis of factors influencing enrollment decisions, such as procrastination and financial literacy.

Main Results:

  • Active decisions increased initial 401(k) enrollment by 28 percentage points compared to opt-in.
  • Active decisions created a savings distribution in three months that would typically take 30 months under standard enrollment.
  • The optimal enrollment strategy depends on procrastination propensity, preference heterogeneity, and financial literacy.

Conclusions:

  • Active decisions are a powerful tool to enhance retirement savings, particularly for those prone to procrastination.
  • Financial illiteracy may necessitate default enrollment strategies over active decisions.
  • Policy design should consider behavioral factors to optimize retirement savings enrollment.