CAJ | 학술논문

目前学术界普遍使用的基于最小二乘法的传统线性回归方法不但不能分析行业属性对劳动报酬边际效应的细部特征，而且行业劳动报酬分布具有的非正态分布特征还会严重影响模型的估计结果，误导分析结论，而现代计量经济学中的分位数回归模型可以有效地解决上述问题。文章使用分位数回归模型方法对影响劳动报酬的行业属性变量进行了选择，测算了有关行业属性变量在不同部门、不同分位点上对劳动报酬的边际效应，分析了边际效应的细部特征与变化规律。
목전학술계보편사용적기우최소이승법적전통선성회귀방법불단불능분석행업속성대노동보수변제효응적세부특정，이차행업노동보수분포구유적비정태분포특정환회엄중영향모형적고계결과，오도분석결론，이현대계량경제학중적분위수회귀모형가이유효지해결상술문제。문장사용분위수회귀모형방법대영향노동보수적행업속성변량진행료선택，측산료유관행업속성변량재불동부문、불동분위점상대노동보수적변제효응，분석료변제효응적세부특정여변화규률。
The detail features of marginal effects of industry attributes on labor remuneration can＇t be analyzed with the traditional linear regression method based on OLG used in current academic literatures,and the non-normal characteristics of labor remuneration distribution can seriously affect the estimated results of model and therefore mislead the conclusions, but such problems can be solved effectively by the using of quantile regression method of modern econometrics. With the quantile regression model, the industry attribute variables impacting the labor remuneration were selected, the marginal effects of relevant variables on labor remuneration were measured in different sectors and different quantiles,and their detail features and changing patterns were analyzed in this article.