858 Macroeconometric Modeling for Policy
Iffis a linear function ofyandxthenR=0 and so:
f(x,y)=a
(
y−y ̄+
δ
a
(x−x ̄)
)
=a(y−bx−c), (17.4)
in whichb=−δ/aandc=y ̄+(δ/a) ̄x.
17.2.2 Discretization
For a macroeconometric model, a discrete representation is usually practical, and it
can be worked out as follows. Lett 1 ,t 2 ,···,tk,···be a sequence of times spaced
hapart and lety 1 ,y 2 ,···,yk,···be the values of a continuous real variabley(t)
at these times. The backward-difference operator%is defined by the rule:
%yk=yk−yk− 1 , k≥1. (17.5)
By observing thatyk=( 1 −%)^0 ykandyk− 1 =( 1 −%)^1 yk, the value ofyat the
intermediate pointt=tk−sh( 0 <s< 1 )may be estimated by the interpolation
formula:
y(tk−sh)=yk−s=( 1 −%)syk, s∈[0, 1]. (17.6)
Whensis not an integer,( 1 −%)sshould be interpreted as the power series in the
backward-difference operator obtained from the binomial expansion of( 1 −x)s.
This is an infinite series of differences. Specifically:
( 1 −%)s= 1 −s%−
s( 1 −s)
2!
%^2 −
s( 1 −s)( 2 −s)
3!
%^3 −···. (17.7)
With this preliminary background, the differential equation:
dy
dt
=f(y,x), x=x(t), (17.8)
may be integrated over the time interval[tk,tk+ 1 ]to obtain:
y(tk+ 1 )−y(tk)=%yk+ 1 =
∫tk+ 1
tk
f(y(t),x(t))dt, (17.9)
in which the integral on the right-hand side of this equation is to be estimated by
using the backward-difference interpolation formula given in equation (17.7). The
substitutiont=tk+shis now used to change the variable of this integral from
t∈[tk,tk+ 1 ]tos∈[0, 1]. The details of this change of variable are:
∫tk+ 1
tk
f(y(t),x(t))dt=
∫ 1
0
f(y(tk+sh),x(tk+sh)) (hds)=h
∫ 1
0
fk+sds,