This paper builds a conditional two-factor measure model, and proves the efficiency of this model using panel data regression skill. The samples are 54 Chinese close-end funds.

基于此，本文构建了条件双因子评价模型，并且以中国全部54只封闭式基金为样本采用面板数据回归技巧验证了该模型的有效性。

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By using panel data and fixed effects regression models, we have developed in this paper a new method which can be used to correct the omitted variable bias in some regression models.

一般的教材或研究文献没有谈及对其如何补救，该文提出一种采用面板数据和固定效应回归来对这种偏差进行补救的方法。

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In this thesis, the panel data of Shenzhen Stock Exchange listed company from the year 2004 to 2007 is cited to make a multiple linear regression analysis.

本文利用2004 - 2007年深交所上市公司的面板数据进行多元线性回归分析。

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