Structural
& Reduced Form Models
Structural Model
A structural model is a complete set of equations that explains how both endogenous and exogenous variables interact structurally in a system.
The parameters associated with the model is known as structural parameters. The
structural parameters are represented by Latin letters, i.e., α, β, γ, ...
Consider the following SEM:
The table of structural
parameters can be obtained as: consider the above SEM model.
Transformed the observed
variables to the left-hand side as:
Y1 - α1 X1 - α2 Y2 = ϵ1
Y2 - β1 Y1 - β2 X2 = ϵ2
Ct = β0 + β1 Yt + ut
Yt = Ct + It
Transformed the observed variables to the left-hand side as:
Ct - β0 - β1 Yt = ut
Yt - Ct - It
The table of structural parameters can be obtained as: consider the above SEM model.
Reduced Form Models
An equation in which the endogenous variables are
expressed as functions of the endogenous variables is known as a reduced form
model of a structural model. The
reduced form parameters are represented by πij and OLS method is used
to estimate these parameters.
Let us we taken the following structural model
Y1 = α0 + α1 X1 + α2 Y2 + u1
Y2 = β0 + β1 Y1 + u2
In this model (Y1,Y2 ) are endogenous
variables and (X1) is exogenous
variable.
Now to transform the endogenous variables is a function of exogenous variable. Substitute Y2 (from equation 2) into equation 1.
Y1 = α0 + α1 X1 + α2 Y2 + u1
Y1 = α0 + α1 X1 + α2 (β0 + β1 Y1 + u2 ) + u1
Y1 = α0 + α1 X1 + (α2 β0 +α2 β1 Y1 +α2 u2 ) + u1
Y1- α2 β1 Y1 = α0 +α2 β0 + α1 X1 + u1 + (α2 u2 )
(1- α2 β1 )Y1 = α0 +α2 β0 + α1 X1 + (α2 u2 + u1 )
Substitute Y1 (from eq 1) in equation (2) as:
Y2 = β0 + β1 Y1 + u2
Y2 = β0 + β1 (α0 + α1 X1 + α2 Y2 + u1) + u2
Y2 = β0 + α0 β1 + α1 β1 X1 + α2 β1 Y2 + β1 u1 + u2
Y2 - α2 β1 Y2 = β0 + α0 β1 + α1 β1 X1 + + β1 u1 + u2
(1- α2 β1) Y2 = β0 + α0 β1 + α1 β1 X1 + + (β1 u1 + u2)
From equation – A and equation – B, it is clear
endogenous variables as a function of exogenous variable that’s translated in
to a single equation model. Now the OLS method to apply and estimate the
parameters of A and B.
Checking
Now apply OLS method on model (A) to find the estimates π10 of and π11 as:
Practice Question – 1:
Convert the following structural
model into reduced form model.
Qd = α1 P + α2 I + u1
Qs = β1 P + u2
Solution: Consider at equilibrium
Qd = Qs
In the model, Q and P are
endogenous variables and Income “I” is exogenous variable. The two equilibrium
values, for P and Q determine at the same time.
α1 P + α2 I + u1 = β1 P + u2
α1 P - β1 P = - α2 I - u1 + u2
(α1 - β1) P = - α2 I + u2 - u1
The reduced form of the above structural
model:
P = π11 I + ν1 → 2
The OLS method can be applied
to estimate the parameter of equation – 2.
Substitute P (from equ. 1) in
supply equation (or in demand equation)
Qs = β1 P + u2
Qs = β1 P + u2
Practice Question – 2:
Find the reduced form of the following structural model.
Qd = α0 + α1 P + α2 Y + u1 →Demand Equ.
Qs = β0 + β1 P + β2 R + u2 →Supply Equ.
Qd=Qs→at equilibrium
Solution: The Qd=Qs = Q. The endogenous
variables are Qd, Qs, and P.
P is endogenous variable because in some cases demand influences the
price.
Qd = Qs
α0 + α1 P + α2 Y + u1 = β0 + β1 P + β2 R + u2
α1 P - β1 P = β0 - α0 + β2 R - α2 Y+ u2 - u1
(α1 - β1)P = β0 - α0 + β2 R - α2 Y+ u2 - u1
P = π10 + π11 Y + π12 R + v1Now substitute the value of P in supply equation.
Q = β0 + β1 P + β2 R + u2
Q = π20 + π21 Y + π22 R + v2
Now we can use OLS method to find the estimates of the above reduced form model parameters.
Practice
Question – 3:
Identify the exogenous and endogenous variables in the following model
and also find the reduced form of the model.
Ct = a0 + a1 Yt + u1
It = b0 + b1 Yt + b2 Yt-1 + u2
Yt = Ct + It + Gt
Solution:The
endogenous variables are Ct, It and Yt and the exogenous variables are Yt-1, Gt
Ct = a0 + a1 Yt + u1 →1
It = b0 + b1 Yt + b2 Yt-1 + u2 →2
Yt = Ct + It + Gt →3
Substitute the value
of Ct(from eq. 1) and It (from eq.2) in equation (3)
Yt = Ct + It + Gt
Yt = (a0 + a1 Yt + u1) + (b0 + b1 Yt + b2 Yt-1 + u2)+ Gt
Yt - a1 Yt - b1 Yt = a0 + b0 + b2 Yt-1 + Gt + u1 + u2
(1 - a1 - b1 )Yt = a0 + b0 + b2 Yt-1 + Gt + u1 + u2
Now to obtain the reduced form of equation – 1. Substitute the value of Yt in equation – 1.
Ct = a0 + a1 Yt + u1 →1
Now to obtain the reduced form of equation – 1. Substitute the value of Yt in equation – 2.
The OLS method can be applied to estimate the parameters of the above
reduced form equations.
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