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ruby5ltc · 2023年01月24日

如何理解?

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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.

if the independent variable is a lagged value of the dependent variable,then regression coefficient estimates are invalid 

1 个答案

星星_品职助教 · 2023年01月28日

同学你好,

结合case,这句话想表达的是:当自变量是因变量的一个滞后项时,如果存在serial correlation的问题,则此时系数估计会受影响。

“自变量为因变量的滞后项”可以理解为 因变量是Yt,自变量中有Yt-1。

可参照下面讲义对应内容。

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