FEDERAL RESERVE BANK OF CHICAGO
A speech delivered on March 9, 2010 in Washington, D.C.
Last Updated: 03/08/2010
26th Annual NABE Economic Policy Conference: Labor Markets and Monetary
Policy
Good morning. It is a pleasure to be with you today. This yearfs conference,
and the topics being discussed, are of great importance to us all—economists,
regulators, market participants and policymakers. We share a common interest in
fostering the economic recovery and a return to strong growth in an environment
of low and stable inflation. Conferences such as this one bring together diverse
perspectives that will help in devising solutions to achieve these goals.
Today I would like to discuss a few challenging issues that the labor market
presents for monetary policymaking. For a bit of context, let me say that I
approach this from not just the perspective of a Fed bank president, but also of
a macroeconomist and former Fed research director. Ifve had the benefit of
attending FOMC meetings since 1995. I have observed firsthand some of the
conflicts that FOMC members face in addressing the Fedfs dual mandate to promote
maximum employment and price stability even in more normal times. For me, price
stability is 2 percent inflation as measured by the Personal Consumption
Expenditures (PCE) deflator over the medium term. When I became Chicago Fed
president in 2007, I never would have guessed that my first 2-1/2 years would
have me voting continually for lower interest rates and more policy
accommodation. But with the unemployment rate at 9.7 percent and inflation
significantly under my benchmark for price stability, there is no conflict
between our policy goals, and so the directions for policy have been clear.
Today, I will highlight a number of labor market issues that lead me to think
this accommodation will likely be appropriate for some time.
Let me emphasize that the views that I am presenting today are my own and not
necessarily those of the Federal Open Market Committee (FOMC) or my other
colleagues in the Federal Reserve System.
I find myself in broad agreement with the view that restrictive bank credit,
along with business and household caution, will continue to restrain the
recoveryfs strength but that these headwinds will abate as we move through 2010.
Most business cycle indicators have turned favorable already. Yet many
households and businesses remain wary that a full-fledged recovery is in train.
That is not surprising. As we all know, employment is often the last piece of
the puzzle to fall into place, and until the economy begins to add jobs in
significant numbers, for many it will not feel like much of a recovery.
The latest reports on this front have been mixed. Layoffs are subsiding.
Firms are hiring more temporary workers, and after a large decline, the average
workweek is showing signs of stabilizing and perhaps reversing course. These
developments usually are precursors of a broader scale recovery in labor demand.
But, today, employers remain cautious. Job openings are still scarce, and there
are few signs, even anecdotally, that permanent hiring has picked up yet.
Moreover, even once labor markets turn the corner, there is a long ways to go
before they get back to what we would consider to be normal.
The ongoing weakness in labor markets—and memories of the jobless recoveries
from the previous two recessions—have raised concerns that something has
fundamentally changed in the way labor markets work. Some worry that they have
deteriorated more than would be expected given the declines in output during the
recession and, in turn, this additional weakness might impinge on the speed of
the recovery moving forward.
Headline unemployment numbers are consistent with the recession
The usual starting point for thinking about this issue is Okunfs famous glawh
relating gross domestic product (GDP) growth to the change in the unemployment
rate. The usual estimates of Okunfs law imply that the unemployment rate should
be at least a percentage point lower than the 9.7 percent we actually saw last
Friday.
However, this calculation assumes that the association between economic
activity and the unemployment rate does not vary across the business cycle. In
fact, many employment indicators tend to deteriorate faster during recessions
than they improve during expansions. A simple statistical model that uses the
historical relationship between GDP growth and unemployment estimated only
during recessions can actually account for the sharp rise in the
unemployment rate. Figure. 1 compares the actual unemployment numbers (the blue
line) to their predicted values from models estimated using GDP data only from
recessions (the red line). The two lines are just about spot on. But the green
line—the prediction from a standard model that does not distinguish between
behavior in expansions and recessions—is not capable of capturing the current
numbers. Similar grecession-onlyh models can also explain the rise in broader
measures of unemployment and gunderemploymenth like the U.S. Bureau of Labor
Statisticsf U-6 rate, as well as the declines in payroll employment.[1]
Based on these exercises, I think that it is reasonable to conclude that the
unemployment rate and employment growth have evolved about as we would expect
given the severity of this recession.
But other labor market measures are weaker than expected
Once you look past the headline numbers, however, some other labor market
indicators are unusually weak. In particular, the share of adults who are
outside the labor force has increased more, and the average length of a spell of
unemployment has grown much longer than predicted by even our grecession-onlyh
models.
I would like to spend some time elaborating on the implications of the
increase in unemployment duration. Much of this material will be appearing in a
forthcoming article by my colleagues at the Chicago Fed, Dan Aaronson, Bhash
Mazumder, and Shani Schechter. The consequences of long-term unemployment on
households can be quite severe. Such households, especially those with little or
no wealth, are susceptible to sharp falls in consumption. Moreover, long-term
unemployment often leads to a significant loss in permanent earnings even after
the worker finds a new job.
Unemployment duration has risen at an unprecedented rate over the past year
or so. In February, over 40 percent of the unemployed were in the midst of a
spell lasting more than six months, by far the highest proportion in the
post-World War II era.
You can see this in Figure 2,which plots from 1948 to the present the relationship
between the unemployment rate (x-axis) and the average length of an ongoing
spell of unemployment (y-axis). The red dots represent the monthly figures for
2008 and 2009. At the beginning of the recession, the unemployment rate was at 5
percent and the average unemployment duration was about 17 weeks. Duration was
already about 4 weeks more than what would be predicted based on the average
historical relationship, represented by the black regression line, between the
two measures. This divergence is largely accounted for by a secular shift toward
longer spells of unemployment due to the aging of the work force and the much
stronger labor force attachment of women.
In the first 15 months of the recession, average duration increased with
unemployment at roughly the rate you would have expected. This is indicated by
the series of red dots that fall along the top of the blue cloud and are
parallel to the black line. But since the first quarter of 2009, average
duration has increased much more rapidly than the rise in the unemployment rate
would predict.
The extension of unemployment insurance benefits, while helpful in supporting
unemployed households, likely accounts for a portion of the recent rise in
unemployment duration.[2] Even so, we view the overall magnitude of the increase as
an indicator that labor market conditions are even bleaker than the unemployment
rate alone suggests. This weakness may also explain why the share of those
outside the labor force has also grown so much—many people have simply stopped
searching for jobs given the lack of demand for their services at prevailing
wages.
Implications of rising long-term unemployment on the outlook
The rise in long-term unemployment may have ramifications for the economy
going forward. The likelihood of finding a job tends to decline as an individual
remains out of work for a longer period. Partly this reflects the fact that
those who typically have a difficult time finding work will tend to be
unemployed longer. In this case, longer spells are a symptom rather than the
source of an underlying problem. However, a long unemployment spell could itself
cause deterioration in a workerfs skills, leaving some of the long-term
unemployed with less bright job prospects even as the economy begins to
revive. This could contribute to high average unemployment duration for
some time.
We can gain some insight into this dynamic from earlier periods. Figure 3 highlights the path of the unemployment rate and duration during the last two severe recessions. As youfd expect, both
measures rise in tandem during the recession. But during the recovery phase,
unemployment duration remains persistently high for quite some time even as the
unemployment rate declines. We expect to see a similar pattern in the near
future. And as I noted earlier, long-term unemployment tends to lead to
permanent earnings losses, particularly for those who have previously invested
heavily in job- or industry-specific skills. So, high unemployment durations
could have long-lasting effects on consumer confidence and demand.
To summarize this discussion of the labor market, headline employment
indicators appear to be roughly following a conventional track given the
severity of the recession. But these measures may not fully capture the weakness
displayed in the rising unemployment duration and the withdrawal of workers from
the labor force. These developments thus raise the risk that the recovery in
labor markets could be slow even as output returns to a well-established growth
path.
Productivity and resource slack
The other side of an economy experiencing growing output but low labor
utilization is high productivity growth. Indeed, productivity has been quite
strong of late, particularly over the past three quarters. This is often the
case in the early stages of a recovery, as firms first meet higher demand for
their products and services without expanding their work force.
A key question today is the degree to which the recent productivity surge
reflects a temporary cyclical development or a more enduring increase in the
level or trend rate of productivity. If the gains are predominantly driven by
intense cost cutting, then they may be unsustainable once demand revives more
persistently. In this case, we would expect hiring to pick up quickly as the
economic expansion takes hold. However, if the level or trend in productivity
has risen due to technological or other improvements, then higher average
productivity gains will continue. In this case, the implications for
hiring are not clear. Higher levels of productivity will show through in both
higher potential and actual output for the economy, and so need not necessarily
come at the cost of lower labor input.
The relative importance of these factors also has consequences for our
assessment of the degree to which resource slack exists in the economy. Since a
higher level or trend of productivity implies a higher path for potential
output, a given level of actual GDP would also be associated with a greater
degree of economic slack. That is, the good news on productivity, if sustained,
suggests that as of today we have a larger output gap to fill In contrast, some
are skeptical that the economy really is operating far below sustainable levels.
They argue that much of the drop in output during the recession was the result
of a permanent reduction in the economyfs productive capacity, perhaps because
certain financial market practices that had for a time enabled additional
investments have now been discredited. According to this view, the strong
productivity growth of recent quarters only goes a fraction of the way toward
offsetting this decline in the level of potential output.
Of course, the unemployment rate gives us another way to infer the degree of
slack in the economy. My earlier discussion of the sharp rise in unemployment
duration and decline in labor force attachment may lead one to think that slack
is even greater than what is implied by the unemployment rate itself.
However, it is possible that longer durations and lower labor force
attachment could reflect broader structural changes in the economy, such as a
mismatch between the skills of the unemployed and those demanded by employers.
There may also be other impediments that currently prevent workers from shifting
to the industries or locations where jobs are available. Under these scenarios,
labor market slack might actually be lower than what one might infer from the
unemployment rate alone.
I have just given you 2 minutes of classic two-handed economist speak. In the
final analysis, however, the sheer magnitude of unemployment today is so large
that there is little doubt in my mind that there is considerable slack in the
economy. Incorporating alternative views about productivity and labor market
behavior do not alter this general conclusion. The debate really boils down to
whether the amount of slack in the economy is large or is extremely large.
Should the Fed have done more?
Given this large degree of slack, there is a legitimate question of whether
monetary policy could, and more fundamentally should, have done more to combat
the deterioration in labor markets. As we all know, a lot was done. As the
crisis arose, we first used our traditional tools, substantially cutting the
federal funds rate and lending to banks through our discount window. As we
neared a zero funds rate, we turned to nontraditional tools to clear up the
choke points, providing liquidity directly to nonbank financial institutions and
supporting a number of short-term credit markets. Finally, we reduced long-term
interest rates further by purchasing additional medium- and long-term Treasury
bonds, mortgage-backed securities, and the debt of government-sponsored
enterprises.
These nontraditional actions helped us avoid what easily could have been an
even more severe economic contraction. But the unemployment rate still hit 10
percent this fall.
Had we done more, the most plausible action would have been to expand our
Large Scale Asset Purchases (LSAP) program. Precisely quantifying the effect
this would have had is difficult. A good place to start, though, is to look at
the recent empirical evidence.[3] When significant new asset purchases were announced, our
big, fluid financial markets built that information immediately into asset
prices. For example, right after the March 2009 Treasury purchase announcement,
ten-year Treasury yields fell about 50 basis points. Comparable declines
occurred in Option Adjusted Spreads (OAS) on the announcement of agency
mortgage-backed securities (MBS) purchases in November 2008. It might be
reasonable to infer that say, doubling the size of the LSAPs might have doubled
this impact on rates.
However, I would attach more than the usual amount of uncertainty to such an
inference. Part of my hesitation reflects our lack of understanding about the
interactions between nontraditional monetary policy, interest rates, and
economic activity. While research efforts at the Federal Reserve and elsewhere
to assess the effects of nonstandard monetary policy have been ramped up
considerably, to date we do not have a robust suite of formal models to reliably
calibrate interventions of this sort.
Moreover, there are reasons to expect that the impact of recent
nontraditional policy actions might not have scaled up so simply. We initially
responded to the financial crisis with our highest-value tool—a reduction in the
funds rate—and then moved to our best alternative policies as interest rates
approached zero. Finally, we turned to the LSAPs, which were designed to further
lower long-term interest rates and thus stimulate demand for interest-sensitive
spending, such as business fixed investment, housing, and durables goods
expenditures. But the influence of lower rates on private sector decision-making
may have reached the point of second-order importance relative to the
countervailing forces of the housing overhang, business and household caution,
and considerably tighter lending standards.
Moreover, although it is impossible to quantify, a portion of the impact of
our nontraditional actions may have come simply from boosting confidence. In
those very dark times, I believe households, businesses, and financial markets
were reassured that policymakers were acting in a decisive manner. Further asset
purchases would not have had an additional effect of this kind.
In addition, on a practical level, the portfolio of future purchases likely
would have looked different and therefore their overall effectiveness might have
deviated from our recent experience. The Fedfs typical monthly purchases of new
issuance MBS were so large that it left very little floating supply for private
investors. This could have forced a larger LSAP program to concentrate more
heavily in Treasuries or existing MBS. Though the empirical evidence is limited,
these assets likely are less close substitutes than new MBS for many of the
instruments used to finance spending on new capital goods, housing, and consumer
durables. Consequently, the effect of their purchase on economic activity may be
less.
Finally, we must also keep in mind that more monetary stimulus also has
costs. These could be considerable at higher LSAP levels. Many are already
worried about the inflation implications of the Fedfs expanded balance sheet and
the associated large increase in the monetary base. Currently, most of the
increase in the monetary base is sitting idly in bank reserves—and because banks
are not lending those reserves, they are not generating spending pressure. But
leaving the current highly accommodative monetary policy in place for too long
would eventually fuel inflationary pressures. Likewise, if the monetary base was
expanded much beyond where we are today, the risk that such pressures would
build as the economy recovers would be significantly increased. Furthermore,
policymakers already face the task of unwinding a sizable balance sheet at the
appropriate time and pace. Substantially increasing the size of asset purchases
could have further complicated the exit process down the road.
That said, changes in economic conditions could alter the cost–benefit
calculus with regard to the LSAP. Hopefully the recovery will progress without
any serious bumps in the road and the inflation outlook will remain benign. But,
as we have repeatedly indicated in the FOMC statements, the Committee will
continue to evaluate its purchases of securities in light of the evolving
economic outlook and conditions in financial markets.
References
Aaronson, Daniel, Scott Brave, and Shani Schechter, 2009, gHow Does Labor
Adjustment in this Recession Compare to the Past,h Chicago Fed Letter,
June.
Aaronson, Daniel, Bhashkar Mazumder, and Shani Schecter, 2010, gAn Analysis
of the Rise in Long-Term Unemploymenth, forthcoming, Economic
Perspectives.
Card David and Phillip B. Levine, 2000, gExtended Benefits and the Duration
of UI Spells: Evidence from the New Jersey Extended Benefit Programh. Journal
of Public Economics, 78(1-2), 107-138.
Katz, Lawrence F. and Bruce D. Meyer, 1990, gThe Impact of the Potential
Duration of Unemployment Benefits on the Duration of Unemploymenth. Journal
of Public Economics, 41(1), 45-72.
Sack, Brian, g The Fedfs Expanded Balance Sheet,g Remarks given at New York
University, December 2, 2009.
[1] For further details, see Aaronson, Brave,
and Schechter (2009).
[2] Aaronson, Mazumder, and Schechter
(2010) apply estimates from Katz and Meyer (1990) and Card and Levine (2000) of
the elasticity of increases in the maximum eligibility time for unemployment
insurance benefits on the duration of unemployment to the current context. These
calculations suggest that federal extensions may account for between 10 percent
and 25 percent of the observed rise in mean durations from July 2008 through
December 2009. Some caution should be applied to these estimates, since they
rely on strong assumptions.
[3] See Sack (2009) as
well.