Predicting participation in retirement preparation programs

Area of Science:

• Gerontology
• Sociology of Retirement
• Labor Economics

Background:

• Retirement planning is crucial for financial security in later life.
• Understanding participation drivers in retirement preparation programs is essential for policy and individual well-being.

Purpose of the Study:

• To estimate the probability of participation in retirement preparation programs.
• To identify significant predictors of program enrollment among mature men.

Main Methods:

• Utilized data from the National Longitudinal Survey of Mature Men.
• Employed multivariate logit analysis to estimate participation probabilities.

Main Results:

• Occupational status, marital status, health status, preretirement income, and mandatory retirement rules significantly predict participation.
• Evidence of positive sample selectivity bias was found in the participation data.

Conclusions:

• Socioeconomic and health factors significantly influence engagement with retirement planning resources.
• The presence of sample selectivity bias necessitates careful consideration in interpreting participation rates.