This note is to give a simple formalism to some material that we implicitly understand
when listening to the news media. This basic formalism is then applied to several
areas.
Consider a statement like GDP "grew at 5% this year, 3% real and 2% inflation." The
statement is obviously based on the idea that the 3% and 2% are additive. In
keeping with a traditional economic literature that defines money variables with capital
letters and deflated or real variables with small letters, define real GDP as gdp =
GDP/P where P is our symbol for "the" price level when, in fact, there are
several broad price indices
such as the CPI (consumer price index), PPI (producers price index) and (Greenspan's favorite) the
PCE (personal consumption expenditure price index).
We want to make extensive use of
the general mathematical point (demonstrated as the logarithmic time
derivative in calculus texts) that
|
the percent change of a ratio is the percent change of the
numerator minus the percent change of the denominator. |
Applied to the equation gdp = GDP/P, the result is
where
hatted variables denote percent
changes
like P-hat = (P
t - P
t-1)/P = ΔP/P
Just as gdp is found as a ratio, gdp=GDP/P, we can also look at the equation as
saying that
GDP = gdp×P.
Another statement of the general
algebraic relation is that the percent change a product (gdp×P) is
the sum of the percent changes -- i.e.,
GDP-hat = gdp-hat
+ P-hat (2)
One only has to look at equations (1) and (2) to recognize that they are two ways of
saying the same thing. Ie, the statement (1) that the percent change of a ratio (GDP/P)
is the difference in the growth rates of the numerator and denominator is equivalent to
the statement (2) that the percent change of a product (P×gdp) is the sum of the
percent changes.
Consider real wages defined as w = W/P. This implies that
w-hat = W-hat -
P-hat which just formalizes what we already knew, that real wages don't rise
unless W-hat is greater than inflation (P-hat).
When examining percent changes over time, we often need to pay
attention to the units in which time is measured. This is facilitated
by defining hatted variables, like P-hat, Debt-hat,
. . . ,
Q-hat with
expressions like
[ ΔP/Δt]/P
[ ΔDebt/Δt]/Debt
. . . ,
[ ΔQ/Δt]/Q
or, after taking limits,
P'(t)/P
Debt'(t)/Debt
. . . ,
Q'(t)/Q
where the notation in the numerators, the P'(t), Debt'(t) and Q'(t),
represent
the SLOPES of the trajectories of the variables against time. So
hatted-variables -- or growth rates -- can be seen as ratios, the ratio of
the slope (against time) over the level of the variables. (They can also be seen
as the derivatives of logarithms (dlnx(t)= [dx/dt]/x(t) = x'/x.)
If Ê = slope-of-E(t)/E, then a constant
slope implies a non-constant
Ê and a constant Ê implies a non-constant slope. Suppose, for example,
that E(t) were linear in t as expressed by the equation of a straight line such
as E(t) = a + bt.
Since b (a constant) is the slope of the line, then Ê
= b/E(t) is a variable that changes over time.
If we represented inflation as ΔP/P, it appears that the numerical value of
inflation is independent of the units of time but we know that inflation of 12%/yr,
restated in mos, gives a different value, viz., 1%/mo. By recognizing that inflation
is the ratio of the slope of P(t) against time, we build the desired time dimension
into P-hat.
The distinction between ΔDebt and Debt'(t) is especially interesting since we want
to relate the term "Deficit" to the change in Debt. If we use discrete time analysis and
define Deficit as Debtt - Debtt-1, it would appear
that Deficit has no time dimension and is, therefore, a stock rather than a flow
variable. But, in fact, a federal deficit (say, the U.S. federal government) of
$480bil/year can be equivalently stated as $40bil/mo or $1.3bil/day. The value of a
(household, firm, government) deficit is sensitive to the units in which time is
measured -- it's a flow not a stock variable. To recognize this characteristic of our
measures of budgetary deficits, we will define Deficit = Debt'(t) which is the limit of
ΔDebt/Δt as Δt goes to zero. In plain English, a deficit is the
change of the level of Debt over some period of time. Thinking about a plot of
Debt(t) against t, a "deficit" is the slope of the Debt(t) curve.
While we are on the topic of the distinction between the level of Debt
(a stock variable) and its change per unit of time, the Deficit, we
should note the relation between Debt-hat (the rate of growth of Debt)
and the Deficit, viz., Debt-hat = Debt'(t)/Debt =
Deficit/Debt.
Note the difference between the frequency of data collection and the annual units in
which the results are often expressed. GDP data is gathered quarterly and is often
reported at an annual as well as a quarterly rate. Similarly, the inflation rate is
measured monthly but often reported at an annual rate. Journalists usually report the
numbers as they are presented by the authorities. One authority might report inflation
as .5% one month and another authority might report that it is 6% (for the same month)
and the journalists will let their readers figure out the implicit time units.
The litmus test (just to
repeat this core point for emphasis) for the presence of a time dimension is whether the
value of the variable in question changes if one changes the unit of time.
Notice that inflation rates have a time dimension (in the denominator) just as interest
rates have a time dimension (in the denominator).
If the interest rate on credit card debt is 12%/yr, that's obviously 1%/month. If one
wants to express the real interest rate on a loan, the inflation rate that is netted out
has to be measured in the same time units as the interest rate. If inflation is .2%/mo
or 2.4%/yr and if the nominal interest rate (i) is 1%/mo or 12%/yr, then the real rate,
r = i - P-hat, is
12%/yr - 2.4%/yr = 9.6%/yr or
1%/mo - .2%/mo = .8%/mo.
One can add/subtract percentage figures if and only if their time
dimensions are the same. Theoretically speaking, it is irrelevant
whether one chooses to measure time in small (nanoseconds) or large
(light-years) units as long as one is consistent throughout the
equation. But units do matter to end users. Financial markets
strongly prefer annualized numbers.
Annualization vs Frequency:
Suppose a person is paid a wage each month of $4,000. The frequency
of payment can, of course, be distinguished from the time unit
in which the wage is quoted. To say that the person makes
$48,000/yr, even if they do not work an entire year
at $4k/month, is to annualize the numerical value of
the reported wage.
Annualization is performed most regularly for interest rates:
- Consider overnight
Fed Funds that is reported an an annual rate (like 1%/yr following the June03
Federal Reserve decision) despite the fact that interest on overnight money is paid
daily -- the actual interest paid is 1/360th of the (product of the size of the loan and
the) interest rate quoted on an annual basis.
- Consider 3
month Eurodollars (the London Interbank Offer Rate so widely used to index
contracts (such as poor country debt) that Bloomberg puts it on the 2nd line of their primary rate
quotation page. Although it may seem strange to find US home mortgages indexed
to a London rate, the 6 month
LIBOR has nevertheless been used in ARMs (adjustable rate mortgages). The actual,
total 90-day or 180-day LIBOR is one-fourth or one-half of the quoted LIBOR which is always annualized.