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Answer: Omitted variable bias occurs when the omitted variable is correlated with an included regressor and is a determinant of the dependent variable.
Omitted variable bias occurs when a model improperly omits one or more variables that are critical determinants of the dependent variable and are correlated with one or more of the other included independent variables. This bias results in an over- or under-estimation of the regression parameters. The correct answer is A, which states that omitted variable bias occurs when the omitted variable is correlated with an included regressor and is a determinant of the dependent variable. Options B, C, and D are incorrect because they do not accurately describe the conditions under which omitted variable bias occurs.
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An important consideration in the analysis of financial variables using Ordinary Least Squares (OLS) estimation is the potential for bias if a key variable is omitted. Specifically, when analyzing a financial variable's behavior, at what point does the bias arise due to the exclusion of an important variable in the OLS model?
A
Omitted variable bias occurs when the omitted variable is correlated with an included regressor and is a determinant of the dependent variable.
B
Omitted variable bias occurs when the omitted variable is correlated with an included regressor but is not a determinant of the dependent variable.
C
Omitted variable bias occurs when the omitted variable is independent of an included regressor and is a determinant of the dependent variable.
D
Omitted variable bias occurs when the omitted variable is independent of an included regressor but is not a determinant of the dependent variable.
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