Exploring the Association between Socioeconomic Status and Children’s Imagined Future: A Study Using Machine Learning

In 1969, over 10,000 children wrote essays on their imagined lives at age 25. Did their imagined futures vary by their socioeconomic status? What future did children from different social classes tend to imagine and write about? This study uses a machine learning approach to answer these questions.