Everything about Reduced Form totally explained
In
social science and
statistics, particularly
econometrics, the
reduced form of a system of equations is the result of solving the system for the endogenous variables. This gives the latter as a function of the exogenous variables, if any.
Structural form
As an example, we use a system of two equations. Both equations are linear. The system models the
supply and demand of some specific good. The quantity of the demand varies inversely with the price: a higher price decreases demand. The quantity of the supply varies directly with the price: a higher price makes supply more profitable. In formulas:
» supply:
» demand:
with positive
bS and negative
bD. This is the structural form of the equation system: the equations as derived from the theory. (In this case, the economic theory of supply and demand.)
The two endogenous variables are the traded quantity
Q and the price
P, defined by the two equations of the system. Of course there are always as many endogenous variables as there are equations.
Reduced form
To find the reduced form, one must
solve the equations for the endogenous variables. This reduces the system considerably. For instance, we know that the two right-hand sides of the equations are the same (both equal to
Q), and hence
. This can be written as
, or
. Thus,
P is in fact a fixed number, independent of
Q. Below, this number is called
, while the similar number for
Q is
:
»
»
The structure of supply and demand has disappeared. The two
coefficients are the reduced form coefficients. They are easily identified from data on
Q and
P. (However, the four structural form coefficients above can not be identified from data: the
parameter identification problem.)
It is easily verified that:
»
»
Structural form with exogenous variable
Exogenous variables are variables which are not defined by the system. In the following structural system,
Z is an exogenous variable:
» supply:
» demand:
(Note that the choice of the endogenous variables can not be derived from the equations themselves; the modeller might alternatively have chosen for instance
Q and
Z as endogenous variables, which would make
P the exogenous variable.)
Reduced form with exogenous variable
The reduced form is now slightly more complicated:
»
Without restrictions on the
A and
B, the coefficients of
A and
B can not be identified from data on
y and
x: each row of the structural model is just a linear relation between
y and
z with unknown coefficients. (Again the
parameter identification problem.) The
M reduced form equations (the rows of the matrix equation
y = Π
x above) can be identied from the data because each of them contains only one endogenous variable.
Further Information
Get more info on 'Reduced Form'.
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