Latent profile analysis reveals varying life satisfaction levels among youth wage workers, indicating policy implications.
The purpose of this study is to classify groups according to the level oflife satisfaction in various areas among wage workers of the youth generation andto identify the influence of fertility-childcare support systems on this. Therefore, to achieve the study's purpose, the 24th Korea Labor Panel data were used, and athree-step approach of latent profile analysis (LPA) was applied using the Mplusstatistical program. Looking at the main analysis results of this study derivedthrough this approach, firstly, the latent profiles of life satisfaction in various areasamong youth generation wage workers were largely divided into two groups. Thesetwo groups were named the 'Job-low-level life satisfaction group' and the'Overall-high-level life satisfaction group'. Secondly, upon examining the influenceof fertility-childcare support systems on the life satisfaction of youth generationwage workers, it was found that the greater the number of fertility-childcare supportsystems provided, the higher the probability of belonging to the 'Overall-high-levellife satisfaction group'. However, it was not statistically significant(OR=1.09, p>.05),Based on the results of this analysis, we propose expanding policy provisionsallowing unstable youth generation wage workers. In addition, we proposestrengthening support services for recruiting replacement workers to minimize jobvacancies resulting from the use of the fertility-childcare support system.
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Song et al. (2025) studied this question.
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