题目内容

Which of the following types of sampling always causes bias or inconsistency in the ordinary least squares estimators?

A. Random sampling
B. Exogenous sampling
C. Endogenous sampling
D. Stratified sampling

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A multiple regression model suffers from functional form misspecification when it does not properly account for the relationship between the dependent and the observed explanatory

A. 对
B. 错

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The measurement error is the difference between the actual value of a variable and its reported value.

A. 对
B. 错

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A change in the unit of measurement of the dependent variable in a model does not lead to a change in:

A. the standard error of the regression.
B. the sum of squared residuals of the regression.
C. the goodness-of-fit of the regression.
D. the confidence intervals of the regression.

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Changing the unit of measurement of any independent variable, where log of the dependent variable appears in the regression:

A. affects only the intercept coefficient.
B. affects only the slope coefficient.
C. affects both the slope and intercept coefficients.
D. affects neither the slope nor the intercept coefficient.

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Which of the following types of sampling always causes bias or inconsistency in the ordinary least squares estimators?

A. Random sampling B. Exogenous sampling C. Endogenous sampling D. Stratified sampling

A multiple regression model suffers from functional form misspecification when it does not properly account for the relationship between the dependent and the observed explanatory

The measurement error is the difference between the actual value of a variable and its reported value.

A change in the unit of measurement of the dependent variable in a model does not lead to a change in:

Changing the unit of measurement of any independent variable, where log of the dependent variable appears in the regression:

A. Random sampling
B. Exogenous sampling
C. Endogenous sampling
D. Stratified sampling