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In simultaneous equations models, the dependent variables are functions of...
In simultaneous equations models, the dependent variables are functions of...
- other dependent variables (correct)
- independent variables
- explanatory variables
- error terms
Simultaneity poses challenges for the estimation of statistical parameters due to the violation of...
Simultaneity poses challenges for the estimation of statistical parameters due to the violation of...
- normality assumption of errors
- homoscedasticity assumption
- Gauss–Markov assumption of strict exogeneity (correct)
- linearity assumption of the model
What is a typical example of a simultaneous equations model in economics?
What is a typical example of a simultaneous equations model in economics?
- Linear regression model
- Time series model
- Supply and demand model (correct)
- Logistic regression model
Why is it difficult to estimate all simultaneous equations at once?
Why is it difficult to estimate all simultaneous equations at once?
What does it mean when some explanatory variables are jointly determined with the dependent variable in simultaneous equations models?
What does it mean when some explanatory variables are jointly determined with the dependent variable in simultaneous equations models?
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Study Notes
Simultaneous Equations Models
- In simultaneous equations models, the dependent variables are functions of other dependent variables, explanatory variables, and error terms.
Challenges of Estimation
- Simultaneity poses challenges for the estimation of statistical parameters due to the violation of the assumption of independence between the dependent variable and the error term.
Typical Example
- A typical example of a simultaneous equations model in economics is the supply and demand model, where the quantity supplied and the quantity demanded are simultaneously determined.
Estimation Difficulties
- It is difficult to estimate all simultaneous equations at once because the equations are interdependent, and changes in one equation affect the others.
Joint Determination
- When some explanatory variables are jointly determined with the dependent variable in simultaneous equations models, it means that the explanatory variables are endogenous, i.e., they are affected by the dependent variable.
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