청년 니트(NEET)의 전이 유형 및 영향요인 분석

The purpose of this study is to examine the factors influencing transition patterns among youth classified as NEET. To this end, transition types of youth NEET were set as the dependent variable, and the research model incorporated key predictors identified in prior studies, including individual characteristics, family background, and career-related attributes. The study focused on individuals aged 19 to 28 and adopted an inclusive definition of NEET that encompasses the unemployed. Data were drawn from the Youth Panel Survey (YP). Using STATA 18.0, the analysis first identified four transition types based on Markov transition probability matrices: (1) non-NEET retention, (2) NEET exit, (3) NEET entry, and (4) NEET persistence. A multinomial logistic regression was then conducted to identify factors associated with NEET transition types. Given that no NEET-related transition occurs in the non-NEET retention group, this category was excluded from the model, and the NEET persistence type—defined as remaining in NEET status for two consecutive years—was used as the reference category. The results show that gender, residential region, and self-esteem were significant individual-level predictors. Among family background variables, cohabitation with parents, financial support, and debt status were found to have significant effects. In terms of career-related attributes, career maturity was found to exert a significant effect. Based on these findings, the study provides implications for future research and practical interventions related to NEET transition patterns among youth.