(Updated February
4, 2005, to reflect new employment data.)
Did the economy create jobs during President George W. Bush's first
term?
The answer is yes, no matter which employment survey is used to
measure jobs. But a lingering controversy over which of the two
Bureau of Labor Statistics (BLS) surveys is the better measure
continues to cloud the issue. The survey of households, which
contacts people directly, reports a net increase of 2.37 million
employed Americans since President Bush was sworn in. The payroll
survey shows a net gain of 119,000.
Official data were published this morning for January 2005, the
final month of Bush's first term. According to preliminary data for
January, there were 146,000 new payroll jobs added last month. BLS
also added 203,000 additional payroll jobs due to its annual
correction of the survey's benchmark. If we also add in the 250,000
to 1,000,000 jobs "lost" to changing turnover rates, then payrolls
are solidly in the black for the first term by at least half a
million.
The big shock today was the drop in the unemployment rate to 5.2
percent, an excellent indicator of real strength in U.S. labor
markets. Real earnings rose as well, and the duration of
unemployment spells fell, but the headlines in the mainstream media
are likely to highlight the fact that payrolls came in below
expectations, which by this time should be recognized as the norm.
Payrolls have been disappointing for many years, and one more month
of disappointment is just another chink in the payroll survey's
reliability, which is why it really should not be the measure of
net job creation in this presidency.
The real question policymakers should be asking is not the
political one-"Is Bush the new Herbert Hoover?"-but the economic
one: "What structural shift caused a statistical earthquake in
economic indicators in 2002 and 2003?" The two middle years of the
Bush presidency mark the period of lingering controversy in
employment data (See Chart 1).

Timing the
Household-Payroll Divergence
In 2002 and 2003, payrolls were stuck in a "jobless
recovery" while the number of working Americans, as measured by the
household survey, grew by two million. Last summer, the disparity
between the two surveys grew so great that the Labor Department was
forced to publicly defend its payroll survey.
The household survey said employment was up 629,000 in July 2004,
while payrolls grew a meager 32,000 jobs. Today, BLS says that
payrolls actually rose by 83,000 that month. An even better example
is the preliminary estimate of 248,000 new jobs last May, which
today was cranked up to 419,000. All this revision to the payroll
numbers is par for the course. Payroll data are always revised for
the first two months after their preliminary release and then again
annually to update methodological quirks. Household data are
annually revised as well, being especially sensitive to population
estimates, which was announced today as well-a miniscule decline of
8,000. But even years of revisions have not changed the long-term
picture of divergence between the two surveys.
In retrospect, payrolls began to reflect recovery in September
2003, and since then the two surveys have been generally in sync.
But this does not mean all is well and the controversy is over.
Something important happened to make the two surveys diverge in the
first place.
What is at stake now is not only how half of the President's first
term is characterized, but also how the President's economic
policies during the first term are evaluated. For example, the 2001
and 2003 tax cuts stimulated the economy, but bad payroll data
serves as ammunition for critics who say those tax cuts produced
few jobs.
Explanations for the Divergence
In July of last year, BLS began publishing a document every month
to try to reconcile the recurring differences between the two
surveys. The document essentially peels away workers who are
counted in the household survey but not on payrolls, such as
farmers and self-employed consultants. Many economists expected
that this apple-to-orange reconciliation would resolve the puzzle.
But amazingly, when a "payroll-concept" version of household data
is "reconciled," the divergence actually increases by roughly
300,000 jobs.
So what happened at the end of 2001 that caused a level shift in
payrolls? We can rule out the recession itself as a cause of the
household-payroll divergence, because it hit in early 2001 and was
brewing long before then. The seismic event that seems most likely
to have changed work behavior is the impact of 9/11 and the war
mentality that followed.
The idea of phantom jobs in the payroll numbers stems from the
theory that 9/11 caused a reduction in job-changing. As explained
in the Winter 2005 issue of Public Interest,
Job-changing from
one employer to another, which had averaged 3 percent per month in
the 1990s, declined by about 0.2 percentage points per year after
2001, settling at 2.4 percent in 2003, where it remains today. This
seemingly small change meant…roughly one million fewer
workers were being were being double-counted on payrolls, a
statistical change that the payroll survey registered as one
million 'lost' jobs.
To this
day, the payroll survey mismeasures jobs and job losses by not
correcting for different rates of job turnover in its methodology.
BLS courageously acknowledged the turnover problem in July 2004 and
is working to define its scope. This could have significant
implications. As the BLS reconciliation study published January 7,
2005, put it, "If the rate of job-to-job movement changes
substantially over time, it could impact trends produced from the
payroll survey."
One thing that all policymakers should agree on is the need for
accurate economic data. Stimulating an economy at the wrong time or
failing to see economic weakness until it is too late can wreak
avoidable damage on the economy. That is why the recent efforts by
Rep. David Dreier to help BLS enhance its methodologies are a step
in the right direction. For the time being, though, currently
published payroll data should be reported with an asterisk.
Americans should not be misled about how strong their economy
actually is.
Tim Kane,
Ph.D., is Research Fellow in the Center for Data Analysis at The
Heritage Foundation.