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karweillas · 2024年08月12日

怎么样才是“自变量不是因变量的lag”的方程形式呢?

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NO.PZ202208220100000302

问题如下:

Identify the type of error and its impacts on regression Model A indicated by the data in Exhibit 2.

选项:

A.Serial correlation, invalid coefficient estimates, and deflated standard errors. B.Heteroskedasticity, valid coefficient estimates, and deflated standard errors. C.Serial correlation, valid coefficient estimates, and inflated standard errors.

解释:

A is correct. The Breusch–Godfrey (BG) test is for serial correlation, and for Model A, the BG test statistic exceeds the critical value. In the presence of serial correlation, if the independent variable is a lagged value of the dependent variable,then regression coefficient estimates are invalid and coefficients’ standard errors are deflated, so t-statistics are inflated.


步骤2不就是用来产生lag的吗?怎么才叫做没有“lag”呢?

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已采纳答案

品职助教_七七 · 2024年08月13日

嗨,努力学习的PZer你好:


截图为BG test的方程形式。和原方程(initial regression)中是否有lag没有关系。

没有lag指的是原方程的自变量中没有因变量的滞后项。例如自变量中没有Yt-1。

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虽然现在很辛苦,但努力过的感觉真的很好,加油!

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