In: Statistics and Probability
plz provide two example of Econometric issues with simultaneous systems
1.
Consider situation of an ideal market where transaction of only one commodity, say wheat, takes place.
Assume that the number of buyers and sellers is large so that
the market is a perfectly competitive market. It
is also assumed that the amount of wheat that comes into the market
in a day is completely sold out on the
same day. No seller takes it back. Now we develop a model for such
mechanism.
Let
dt denotes the demand of the commodity, say wheat, at
time t,
st denotes the supply of the commodity, say wheat,
at time t, and
qt denotes the quantity of the commodity, say
wheat, transacted at time t.
By economic theory about the ideal market, we have the following
condition:
,dt =st .t=1............n.
Observe that
the demand of wheat depends on
- price of wheat (pt ) at time . t
- income of buyer (it ) at time . t
the supply of wheat depends on
- price of wheat (pt ) at time t.
- rainfall (rt ) at time t .
From market conditions, we have
. qt =dt=
st.
Demand, supply and price are determined from each other.
Note that
income can influence demand and supply, but demand and supply
cannot influence the income.
supply is influenced by rainfall, but rainfall is not influenced by
the supply of wheat.
Our aim is to study the behaviour of st ,
pt and rt which are determined by
the simultaneous equation
model.
Since endogenous variables are influenced by exogenous variables
but not vice versa, so
st,pt
and rt are endogenous variables.
it and rt are exogenous
variables.
Now consider an additional variable for the model as lagged value
of price pt, denoted as pt-1. In
a market,
generally the price of the commodity depends on the price of the
commodity on previous day. If the price of
commodity today is less than the previous day, then buyer would
like to buy more. For seller also, today’s
price of commodity depends on previous day’s price and based on
which he decides the quantity of
commodity (wheat) to be brought in the market.
2.
The general linear simultaneous equations model with m equations
can be written
formally as
Byt + Γzt = ut
, t = 1, · · · , T (2.1)
where yt
is an m×1 vector of observations on the m current endogenous
variables
at period t, zt
is a q×1 vector of observations on the q predetermined variables,
ut
is an m×1 vector of disturbances, B is a m×m square matrix of
coefficients on the
endogenous variables and Γ is an m×q matrix of coefficients on the
predetermined
variables.
Consider the two equation dynamic demand–supply model . In each
equation,
a single variable is excluded (Wt
in the demand equation and Yt
in the second).
Thus both equations satisfy the order condition for
identification.
Consider now the rank condition. for the first equation, the matrix
to be
considered is the 1 × 1 matrix
[−β3] .
Clearly this will have rank m − 1 = 1 as long as β3 6= 0. If
β3 = 0 however, then
the equation will not be identified. Similarly, the rank condition
for the second
equation is that the 1 × 1 matrix
[−α3]
has rank m − 1 = 1. Again, this will be the case except if
α3 = 0.