Statistical Analysis of Management Data pp 187-216 | Cite as
System of Equations
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Abstract
In this chapter we consider the case where several dependent variables are explained by linear relationships with other variables. Independent analysis of each relationship by ordinary least squares could result in incorrect statistical inferences either because the estimation is not efficient (a simultaneous consideration of all the explained variables may lead to more efficient estimators for the parameters) or may be biased in cases where the dependent variables influence each other.
Keywords
Covariance Matrix Ordinary Little Square Exogenous Variable Endogenous Variable Rank Condition
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