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Consider the following system of equations:​Y1=α0+α1Y2+α3Y3+α4X1+α5X2+U1Y2=β0+β1Y3+β2Y1+β3X2+U2Y3=λ0+λ1X1+λ2X2+λ3X3+U3\begin{aligned}Y_1 &= \alpha
Question

Consider the following system of equations:
Y1=α0+α1Y2+α3Y3+α4X1+α5X2+U1Y2=β0+β1Y3+β2Y1+β3X2+U2Y3=λ0+λ1X1+λ2X2+λ3X3+U3\begin{aligned}Y_1 &= \alpha_0 + \alpha_1 Y_2 + \alpha_3 Y_3 + \alpha_4 X_1 + \alpha_5 X_2 + U_1 \\Y_2 &= \beta_0 + \beta_1 Y_3 + \beta_2 Y_1 + \beta_3 X_2 + U_2 \\Y_3 &= \lambda_0 + \lambda_1 X_1 + \lambda_2 X_2 + \lambda_3 X_3 + U_3\end{aligned}​​
According to the order condition, the first equation is:

A.

Unidentified

B.

Just identified

C.

Over identified

D.

Not possible to say because the reduced form of the model is not given.

Correct option is A

Correct Option: A. Unidentified
Explanation:

  • The Order Condition is a necessary condition for the identification of a structural equation.
  • It compares the number of excluded exogenous variables to the number of included endogenous variables (minus one).
  • If the number of excluded exogenous variables is less than the number of included endogenous variables minus one, the equation is unidentified.

Information Booster:

  • Formula: Kkg1K - k \ge g - 1​​
    • K=3K = 3​: Total exogenous variables in the system (X1,X2,X3X_1, X_2, X_3​).
    • k=2k = 2​: Exogenous variables in the first equation (X1,X2X_1, X_2​).
    • g=3g = 3​: Total endogenous variables in the first equation (Y1,Y2,Y3Y_1, Y_2, Y_3​).
  • Calculation:
    • Excluded Variables (KkK - k) : 32=13 - 2 = 1​ (Only X3 X_3​ is excluded).
    • RHS Endogenous Variables (g1g - 1​): 31=23 - 1 = 2​ (Y2 and Y3Y_2\ and \ Y_3​ appear on the RHS).
  • Conclusion: Since 1<2 1 < 2 (Excluded < Required), the equation is Unidentified.

Additional Knowledge:

  • Just Identified: Condition holds with equality (Kk=g1K - k = g - 1​).
  • Over Identified: Excluded variables are greater than required (Kk>g1K - k > g - 1​).
  • Rank Condition: While the Order Condition is necessary, the Rank Condition is both necessary and sufficient for identification. It checks if the matrix of excluded coefficients has full rank.

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