【摘要】 本文首先梳理目前国内就人才需求预测的研究文献,基于现有文献研究,同时考虑专家意见和数据获得性,选取四类共23个指标因素,构建基于金融业从业人员数量和23个指标因素间的回归预测模型。在具体分析过程中,由于多个指标间存在共线性问题,同时为保持更多的有意义的指标因素,本文利用主成分分析解决共线性问题,共提取2个公因子,并利用公因子构建线性回归预测模型。和金融业实际就业人员数量相比较,回归预测模型具有较好的预测效果。更多还原

【Abstract】 This article first introduces the domestic current research literature about talent demand forecasting.Based on the existing literature research and considering the expert opinion and the data acquired,the article selects four types including a total of 23 factors to build a regression prediction model between number of employees in the financial sector and the 23 factors.In the process of specific analysis,due to the presence of multi-colinearity problem of multiple indexes,the article uses principal component analysis to solve the multicolinearity problems and to keep the more meaningful factors.As a result,two public factors were extracted. The article uses the 2 public factors to build a linear regression model,which has better prediction effect compared with the actual number of employees in the financial sector.更多还原