问题如下:
What conditions are required for a regression to suffer from omitted variable bias?
解释:
There are two conditions. First, the variable must be omitted in the sense that it has a non-zero coefficient in the correct model. Second, the omitted variable must be correlated with an included variable. If the X variables are uncorrelated, then the coefficients can be estimated consistently even if there is an omitted variable.
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