a) Determine if each equation is just identified, over identified or unidentified. Consider both rank and order conditions. is

ENGR.ECONOMIC ANALYSIS
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**b) How would you estimate equation 2? Please describe in detail.**

(Note: In the given text, there are no graphs or diagrams needing explanation. The content is primarily textual, focusing on the estimation of an equation.)
Transcribed Image Text:**b) How would you estimate equation 2? Please describe in detail.** (Note: In the given text, there are no graphs or diagrams needing explanation. The content is primarily textual, focusing on the estimation of an equation.)
### System of Equations: Identifiability Analysis

**1. Consider the following system of equations. \( Y_1 \), \( Y_2 \) and \( Y_3 \) are endogenous variables and \( X_1 \), \( X_2 \) and \( X_3 \) are exogenous variables.**

\[
\begin{align*}
Y_1 &= \alpha_1 + \alpha_2 Y_2 + \alpha_3 Y_3 + \alpha_4 X_1 + \alpha_5 X_2 + u_1 \quad &\text{(Eq. 1)} \\
Y_2 &= \beta_1 + \beta_2 Y_1 + \beta_3 Y_3 + \beta_4 X_2 + u_2 \quad &\text{(Eq. 2)} \\
Y_3 &= \gamma_1 + \gamma_2 X_1 + \gamma_3 X_2 + \gamma_4 X_3 + u_3 \quad &\text{(Eq. 3)}
\end{align*}
\]

**(a) Determine if each equation is just identified, over-identified or unidentified. Consider both rank and order conditions.**

**Explanation:**

Analyzing each equation involves applying the *rank* and *order conditions* to determine whether the equations are **just identified**, **over-identified**, or **under-identified**.

### Order Condition:
- **Just Identified:** The number of excluded exogenous variables (from the specific equation) should be equal to the number of endogenous variables minus one.
- **Over-identified:** The number of excluded exogenous variables is greater than the number of endogenous variables minus one.
- **Under-identified (Unidentified):** The number of excluded exogenous variables is less than the number of endogenous variables minus one.

### Rank Condition:
To fully confirm identifiability, the rank condition must also be met, which involves matrix manipulations to ensure that the necessary parameters can be uniquely determined.

### Equations Breakdown:

1. **(Eq. 1):** 
   - Endogenous Variables: \( Y_2 \), \( Y_3 \)
   - Exogenous Variables: \( X_1 \), \( X_2 \)

2. **(Eq. 2):**
   - Endogenous Variables: \( Y
Transcribed Image Text:### System of Equations: Identifiability Analysis **1. Consider the following system of equations. \( Y_1 \), \( Y_2 \) and \( Y_3 \) are endogenous variables and \( X_1 \), \( X_2 \) and \( X_3 \) are exogenous variables.** \[ \begin{align*} Y_1 &= \alpha_1 + \alpha_2 Y_2 + \alpha_3 Y_3 + \alpha_4 X_1 + \alpha_5 X_2 + u_1 \quad &\text{(Eq. 1)} \\ Y_2 &= \beta_1 + \beta_2 Y_1 + \beta_3 Y_3 + \beta_4 X_2 + u_2 \quad &\text{(Eq. 2)} \\ Y_3 &= \gamma_1 + \gamma_2 X_1 + \gamma_3 X_2 + \gamma_4 X_3 + u_3 \quad &\text{(Eq. 3)} \end{align*} \] **(a) Determine if each equation is just identified, over-identified or unidentified. Consider both rank and order conditions.** **Explanation:** Analyzing each equation involves applying the *rank* and *order conditions* to determine whether the equations are **just identified**, **over-identified**, or **under-identified**. ### Order Condition: - **Just Identified:** The number of excluded exogenous variables (from the specific equation) should be equal to the number of endogenous variables minus one. - **Over-identified:** The number of excluded exogenous variables is greater than the number of endogenous variables minus one. - **Under-identified (Unidentified):** The number of excluded exogenous variables is less than the number of endogenous variables minus one. ### Rank Condition: To fully confirm identifiability, the rank condition must also be met, which involves matrix manipulations to ensure that the necessary parameters can be uniquely determined. ### Equations Breakdown: 1. **(Eq. 1):** - Endogenous Variables: \( Y_2 \), \( Y_3 \) - Exogenous Variables: \( X_1 \), \( X_2 \) 2. **(Eq. 2):** - Endogenous Variables: \( Y
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