基于随机化回答模型的最低工资敏感性问题研究

The Study of Sensitive Questions in the Minimum Wage Based on Randomized Response Models

针对最低工资调查中出现的敏感性问题,引入随机化回答技术,并针对定性和定量两类敏感性问题,分别引入不同的随机化回答模型。同时还考虑到最低工资调查中,不同调查单位对同一问题敏感程度不相同的特性,在定量问题的随机化回答模型中引入敏感性水平,对原有模型进行有效的改进,使被调查者能够更加积极配合最低工资调查,从而能够进一步减少由于各类敏感性问题造成的非抽样误差。这套随机化处理方法还可推广应用到其他类型的敏感性问题中。

In order to resolve sensitive questions in the survey Of minimum wage, randomized response techniques are introduced. Concretely, different randomized response models are applied to solve qualitative and quantitative sensitive questions. According to the particularity of the survey of minimum wage, different sample units have different sensitivity to the same sensitive question. Therefore, the sensitivisity level of different units is introduced to the conventional quantitative randomized model and the interviewee would cooperate with the survey of minimum wage much more. As a result, non--sampling error would be reduced much more.