Model
Let be a vector of endogenous variables and be a vector of exogenous covariates.
The structural model can be written as
\underset{M \times M}{\Gamma_0} \underset{M \times 1}{y_i}
+ \underset{M \times K}{B_0} \underset{K \times 1}{x_i}
= \underset{M \times 1}{\varepsilon_i},
for all . and are the structural parameters.
If we define , then we have
\E[x_i \varepsilon_i^\top] = \underset{K \times M}{0}
If is nonsingular, the corresponding reduced form model is
\begin{aligned}
y_i &= -\Gamma_0^{-1} B_0 x_i + \Gamma_0^{-1} \varepsilon_i \\
&= \Pi_0^\top x_i + \nu_i \\
\end{aligned}
The relationship between the structural and reduced form parameters is thus
\underset{M \times K}{\Pi_0^\top} = -\underset{M \times M}{\Gamma_0}^{-1}
\underset{M \times K}{B_0}
and the error terms are related by
\nu_i = \underset{M \times M}{\Gamma_0^{-1}}
\underset{M \times 1}{\varepsilon_i}.
Note that we still have .
Examples
Supply and Demand
\begin{gathered}
q_i &= \gamma_{11} p_i + B_{11} + B_{12} a_i + \varepsilon_{i1} \\
q_i &= \gamma_{21} p_i + B_{21} + B_{22} w_i + \varepsilon_{i2} \\
\end{gathered}
The first equation is the supply equation and the second is the demand demand equation. The exogenous variables are the wage , a supply shifter, and , a demand shifter. Price is endogenous to both equations.
See also: Full information maximum likelihood