July 31 2012
This page was updated on July 27 2012 when BEA posted revisions to
the National Income and Product Accounts.
See here “Obama’s
Re-election Prospects Under ‘Bread and Peace’ Voting in the 2012 US
Presidential Election”
Douglas Hibbs
February 29 2012
The 2012 US Presidential Election: Implications of the ‘Bread and
Peace’ Model
For Obama’s Re-election
Prospects as of 2011:q4
Aggregate votes for president in postwar elections are well explained by
just two fundamental determinants: (1) weighted-average growth of per capita
real disposable personal income over the term, and (2) cumulative US military
fatalities owing to unprovoked, hostile deployments of American armed forces in
foreign conflicts. No other objectively
measured, exogenous factor systematically affects postwar aggregate votes for
president.
The Bread and
Peace equation is written

where Vote is the percentage share of the
two-party vote received by the incumbent party’s candidate, ΔR is the quarter-on-quarter percentage rate of growth
of per capita real disposable personal income expressed at annual rates, and Fatalities denotes the cumulative number
of deaths of American military personnel per million of population over the
term.
Estimating
the Bread and Peace equation for the fifteen
postwar presidential elections spanning 1952-2008 yields the following
coefficient values and related statistics:
|
Coefficient estimate: |
α=45.7 |
β1=3.6 |
λ=0.9 |
β2=-0.05 |
Adj. R2 =
.86 |
|
(Std. error|p-value): |
(1.1|.00) |
(0.56|.00) |
(0.05|.00) |
(0.01|.00) |
Root MSE = 2.20 |
The
graph below shows the pronounced relationship of vote shares to real income
growth, along with the displacement of vote shares from the real income growth prediction
line at elections significantly affected by cumulative US fatalities in
unprovoked foreign wars: Iraq, and especially Vietnam and Korea.

According to the latest revision to disposable
personal income data released by the Bureau of Economic Analysis on February 29
2012, during the first eleven full quarters of President Obama’s term --
2009:q2 to 2011:q4 -- the annualized, weighted-average quarterly growth rate of
per capita real disposable personal income was nil (0.0%), which is way below the
post-1948 average growth rate of 1.8%. Over the same period US Fatalities in
Afghanistan totaled 1234, which amounts to 4 per million of population. As
depicted in the graph below, which combines the real income growth and
fatalities variables to one dimension, according to the Bread and Peace model if the presidential election was held under
those conditions the notional vote share going to the incumbent party candidate
(Obama) would be only 45.5%:
45.5% ≈ 45.7 + 3.6⋅x (0.0) - 0.05⋅x 4

But
of course what really matters for Obama’s re-election prospect is the
over-the-term performance record at Election Day in 2012, not the notional vote
share implied by conditions at the end of 2011. I'll make the plausible
assumption that American military fatalities in President Obama’s “war of
necessity” in Afghanistan continue running at the (politically relatively low)
average quarterly rate of the past two years -- 115 or 0.37 per million of
population. At election day cumulative Fatalities
then would amount to 1579 or 5.1 per million of population, a number that would
detract only negligibly from Obama’s expected two-party vote share: -0.25
percentage points (-0.25 = -0.05 x 5.1).
Given my assumption about the flow of fatalities in Afghanistan, growth rates of
per capita real disposable personal income during the remainder of the term
will be the deciding, as yet unrealized fundamental factor in the 2012
presidential election. Calculations shown in the table below indicate that per
capita real income growth must average out at an annualized rate of more than 4
percent per quarter until the end of the term in order for Obama to have a good
chance of re-election.
|
Obama’s
2012 Expected Two-Party Vote Share at various real income growth rates 2012:q1 - 2012:q4 |
|||||
|
Hypothetical
per capita real income growth rates 2012:q1 - 2012:q4: |
-4 |
-2 |
0 |
+2 |
+4 +6 |
|
=>
Resulting weighted-average real income growth rate over the presidential
term: |
-1.6 |
-0.8 |
0.0 |
0.8 |
1.5 2.3 |
|
=>
Expected two-party vote share (assuming cumulative fatalities ≈ 1579 or
5.1 per million of population): |
39.8% |
42.6% |
45.4% |
48.2% |
51.0% 53.8% |
If the
US economy gets into robust recovery mode, real income growth could be high
enough to secure President Obama’s re-election. However the pace of recovery
from the 2008 Great Recession remains sluggish, and the famous 2009 book This Time Is Different: Eight Centuries of
Financial Folly by Carmen Reinhart and Kenneth Rogoff
documents that recoveries from contractions originating with the bursting of
speculative financial bubbles are not V-shaped as in garden-variety recessions,
but instead are typically prolonged U-shaped affairs lasting 5 to 6 years. The
statistical properties of the time path of US per capita real disposable
personal income indicate that the chances of a year-long run of quarterly
growth rates on the order of 4% or higher are no better than 1/7. I judge it
likely that real income growth rates during coming quarters will be in the
vicinity of 2%, yielding Obama an expected two-party vote share of around 48%
(shown by gray shading in the table above).
Yet
remember that every election is affected to some degree by idiosyncratic
factors, which at times are important enough to overwhelm the persistent
influence of fundamentals. Indeed idiosyncratic events contribute a lot of the
fun to political affairs and their unexpected appearance and impact from one
election to the next are why many of us follow election cycle developments so
carefully in the media.
The Bread and Peace model aims
to explain election outcomes in terms
of objectively measured political-economic fundamentals, rather than to predict
optimally voting results or to track them statistically after the fact. For
those reasons the model does not include arbitrarily coded dummy, trend and
count variables, or pre-election poll readings of voter sentiments, preferences
and opinions. Trends and related time-coded variables are ad-hoc, statistical
junk without scientific merit, no matter how much they improve statistical fits
or forecasting accuracy in various samples. Attitudinal-opinion poll variables
are themselves affected by objective fundamentals, and consequently they supply
no insight into the root causes of voting behavior, even though they may
provide good predictions of election results.
I
believe that the best predictions of 2012 election results, as of earlier
elections, will almost surely be delivered by price data at betting sites like Intrade and the Iowa Electronic
Markets (which of course contribute nothing to explanation). At the end of
February 2012 trading prices at both places implied that President Obama had a
60% chance of being re-elected, with betting in the Iowa vote share market
putting his vote at 51.3%. The Bread and
Peace model implies that President Obama's chances are more doubtful.
Here
is a pdf
file of slides for seminars I’ve given on the 2012 election, which supplies
more detail on the issues discussed at this web page.
Applications
of the Bread and Peace model to
previous elections, along with links to my academic papers on the topic, can be
found here.
Here
are the Stata
program (“do”) file and the Stata
data (“dta”) file that generated the statistical results on this page.
A Note on
the 1948 election: A retired professor of physics recently
wrote to me, motivated by some web chatter he read on the topic, asking why I
do not include the 1948 election in my analyses of postwar Bread and Peace voting in presidential elections. I referred him,
as I do other interested parties, to note 5, p. 173 in my Public Choice (2000, 104: 149–180) article titled “Bread
and Peace Voting in US Presidential Elections,” which reads as follows:
“Studies
like this one frequently include the 1948 election. I omit it not so much
because the quarterly National Income and Product Accounts begin in 1947 (and
the Bread and Peace model requires quarterly disposable income data over the
whole administrative term) but mainly because the transition from a total war
economy after the defeat of Japan renders the meaning of the measured economy
during demobilization wholly incomparable to the rest of the postwar period.”