Exploration of Dynamic Optimization Paths for Work Search Models under Incomplete Information Conditions

Xian Jingchen, Liu Qing


This article is based on the application exploration of dynamic optimization theory under incomplete information conditions. Based on the job search model and its extended model, this theory is analyzed in detail, explaining the relationship between unemployment rate and wages in the labor market, exploring the impact of Western labor unemployment formation, summarizing the experience of urban unemployment in the process of social construction in the new era, and developing high-quality and high-quality employment work for college students, It will have very important inspiration and reference significance.

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DOI: https://doi.org/10.22158/jbtp.v11n3p1


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