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March 2010 (February 11, 2010 to March 9, 2010)

In This Issue:
Inflation and Prices

 January Price Statistics or the Definition of “Subdued”
Financial Markets, Money and Monetary Policy

 The Beginnings of Normalcy
 The Yield Curve, February 2010
International Markets

 Euro Problems
Economic Activity

 Economic Projections from the January FOMC Meeting
 Signs of Abating Default Risk
Regional Activity

 Ohio’s Labor Market Cycles

Inflation and Prices

January Price Statistics or the Definition of “Subdued”
03.02.10
by Brent Meyer

January Price Statistics
Percent change, last
1mo.a

3mo.a

6mo.a

12mo.

5yr.a

2009
average

All items

2.0

2.3

2.6

2.6

2.6

2.8

Less food and energy

−1.6

0.0

0.8

1.6

2.1

1.8

Medianb

0.5

0.6

0.8

1.0

2.5

1.2

1.0

1.0

1.1

1.2

2.4

1.3

18.3

3.3

4.8

5.0

3.4

5.3

4.3

3.3

1.1

1.0

Consumer Price Index

16% trimmed

meanb

Producer Price Index
Finished goods
Less food and energy

2.1

0.9

a. Annualized.
b. Calculated by the Federal Reserve Bank of Cleveland.
Sources: U.S. Department of Labor, Bureau of Labor Statistics; and Federal Reserve
Bank of Cleveland.

The headline CPI jumped up 2.0 percent (annualized rate) in January, mostly on a spike in energy
prices (up 39 percent). However, the real story is
the first appreciable decline in the core CPI index—it fell 1.6 percent in January—since December 1982, which pulled the three-month annualized
growth rate down to zero and the 12-month growth
rate down to 1.6 percent. The release pointed to
decreases in shelter, new vehicles, and airline fares
as the culprits for the decrease in the core during
the month.
Measures of underlying inflation trends produced
by the Federal Reserve Bank of Cleveland—the
median CPI and the 16 percent trimmed-mean
CPI—rose 0.5 percent and 1.0 percent, respectively, in January. These readings are very much in
line with where our measures have been over the
past few months. The three-month growth rate in
the median is 0.6 percent, while the trim is up 1.1
percent over the past three months.
That said, the longer-term trends in the trim and
median have come down sharply relative to the core
CPI over the past year or so. Since August 2008,
the 16 percent trimmed-mean measure has slipped
from a growth rate of 3.6 percent to 1.2 percent in
January 2010, while trend in the median CPI has
declined from 3.2 percent to 1.0 percent. In fact,
the 12-month growth rate in the median CPI—at
1.0 percent—is at a record low. Over that same
time period, the core CPI has come down only 0.9
percentage point.
As a measure of underlying inflation trends, the
core CPI suffers somewhat from its arbitrary nature. By excluding just food and energy, its implicit
stance is that food and energy prices are always
transitory and all other price movements may be
indicative of changing inflation. This leaves the core
CPI open to transitory price movements in other
categories. A current example of a sector-specific
shock has been the recent trend in used auto prices

Federal Reserve Bank of Cleveland, Economic Trends | March 2010

2

CPI Component Price Change Distribution
Weighted frequency
50

January 2010
Past three months
2003-2007 average

40
30
20

(up an annualized 28 percent over the past six
months), which many analysts have attributed (at
least in part) to a decrease in the supply of used
autos, related to the CARS program. Also, some
month-to-month volatility may cloud the core
CPI’s near-term trends. Trimmed-mean measures,
such as the median CPI and 16 percent trimmedmean CPI, seek to minimize transitory effects and
excess volatility, providing a “less cloudy” reading
on underlying inflation.

10
0
<0

0 to 1
1 to 2
2 to 3
3 to 4
4 to 5
Annualized monthly percentage change

>5

Source: Bureau of Labor Statistics.

Consumer Price Index
12-month percent change
4.0
3.5

Median CPIa

3.0
2.5

Another way to illustrate the recent softness in
retail prices is to look at the price-change distribution. In January (and over the past three months),
roughly 60 percent of the consumer price index (by
expenditure weight) either rose at rates less than 1.0
percent or posted outright price declines, compared to an average of 30 percent between 2003
and 2007. On the upper end of the distribution,
just 27 percent of the consumer market basket has
been rising at rates exceeding 3.0 percent over the
past three months, compared to 44 percent over the
roughly stable inflation period between 2003 and
2007.

2.0
Core CPI
1.5
1.0

16% trimmed-mean CPIa

0.5
0.0
2000

2002

2004

2006

2008

2010

a. Calculated by the Federal Reserve Bank of Cleveland.
Sources: U.S. Department of Labor, Bureau of Labor Statistics, Federal Reserve
Bank of Cleveland.

Federal Reserve Bank of Cleveland, Economic Trends | March 2010

The most recent readings in the median CPI, 16
percent trimmed-mean CPI, and core CPI are all
below their respective longer-term trends, suggesting a continued disinflationary trend. Given low
capacity utilization rates, excess labor market slack,
and declining unit labor costs, underlying inflation
trends are likely to remain subdued.

3

Financial Markets, Money and Monetary Policy

The Beginnings of Normalcy
02.19.10
by Charles T. Carlstrom and John Lindner
In last week’s prepared testimony for the House
Committee on Financial Services, Federal Reserve
Chairman Bernanke spoke extensively on the
gradual exit of the Federal Reserve from many of
its emergency liquidity programs. At the beginning of February, several programs were allowed to
expire, including the Primary Dealer Credit Facility (PDCF), the Term Securities Lending Facility (TSLF), the Asset-Backed Commercial Paper
Money Market Mutual Fund Liquidity Facility
(AMLF), and the Commercial Paper Funding Facility (CPFF). Remaining programs, like the Term
Auction Facility (TAF), are mostly set to expire
in March. Because the liquidity crisis appears to
be over, the Board also announced that it would
increase the primary credit rate (often called the
discount rate) by one-quarter of a percentage point
to 0.75 percent. The announcement noted:
“These changes are intended as a further normalization of the Federal Reserve’s lending facilities. The
modifications are not expected to lead to tighter financial conditions for households and businesses and do
not signal any change in the outlook for the economy
or for monetary policy.”
This statement matches the language used by
Chairman Bernanke in his testimony, in which he
said that any change in the discount rate “should
be viewed as further normalization of the Federal
Reserve’s lending facilities.”

Credit Rates
Percent
6.50
6.00
5.50
Discount rate
5.00
4.50
Federal funds
4.00
rate target
3.50
3.00
2.50
2.00
1.50
1.00
0.50
0.00
1/07
7/07
1/08
7/08

1/09

7/09

1/10

Note: Shaded area represents a target range of the funds rate from 0 to 0.25 percent.
Source: Federal Reserve Board.

Federal Reserve Bank of Cleveland, Economic Trends | March 2010

Discount window lending has declined precipitously since the crisis that occurred at the end of
2008 and early 2009. Use of the Federal Reserve as
a lender of last resort peaked in October 2008, immediately following the collapse of Lehman Brothers. Use of the TAF continued at elevated levels
through the first half of 2009 but has recently fallen
to levels not seen since the gap between the federal
funds rate and the discount rate was 25 basis points
higher. Given that the target range of the federal
funds rate is 0–0.25 percent, the actions taken yes4

terday increased the spread between the two rates to
50–75 basis points.

Credit Extended
Billions of dollars
600

Due to the communications of Chairman Bernanke and other Federal Reserve officials prior to
the announcement yesterday, market reactions to
the news were relatively subdued. There were slight
increases in Treasury yields, but no more than 5
basis points. Pricing for fed funds futures saw a
brief increase in volatility following the release but
stabilized during Friday’s trading.

500
Term auction credit
400
300
200
Primary credit

100
0
01/07

07/07

01/08

07/08

01/09

07/09

01/10

Source: Federal Reserve Board.

Federal Reserve Bank of Cleveland, Economic Trends | March 2010

5

Financial Markets, Money and Monetary Policy

The Yield Curve, February 2010
02.25.10
by Joseph G. Haubrich and Kent Cherny

Yield Curve Spread and Real GDP
Growth
Percent
11
9
GDP
DP growth
(year-over-year
ea
r change)
e)

7
5
3
1
-1

Ten-year
ar minus three-month
e
re
yield spread

-3
-5
1953

1963

1973

1983

1993

2003

Note: Shaded bars indicate recessions.
Sources: Bureau of Economic Analysis, Federal Reserve Board.

Yield Spread and Lagged Real GDP Growth
Percent

Since last month, the yield curve has moved up
and gotten steeper, with long rates rising a bit more
than short rates. The difference between these rates,
the slope of the yield curve, has achieved some notoriety as a simple forecaster of economic growth.
The rule of thumb is that an inverted yield curve
(short rates above long rates) indicates a recession
in about a year, and yield curve inversions have
preceded each of the last seven recessions (as defined by the NBER). In particular, the yield curve
inverted in August 2006, a bit more than a year
before the current recession started in December
2007. There have been two notable false positives:
an inversion in late 1966 and a very flat curve in
late 1998.
More generally, a flat curve indicates weak growth,
and conversely, a steep curve indicates strong
growth. One measure of slope, the spread between
10-year Treasury bonds and three-month Treasury
bills, bears out this relation, particularly when real
GDP growth is lagged a year to line up growth with
the spread that predicts it.

11
One-year lag of GDP growth
(year-over-year change)

9
7
5
3
1
-1

Ten-year minus three-month
yield spread

-3
-5
1953

1963

1973

1983

1993

2003

Sources: Bureau of Economic Analysis, Federal Reserve Board.

Since last month the three-month rate rose to 0.10
percent (for the week ending February 19), up
from January’s 0.06 percent and December’s 0.04
percent. The 10-year rate increased to 3.74 percent,
above January’s 3.66 percent and December’s 3.56
percent. The slope, already quite high, increased
to 374 basis points, up from January’s 360 basis
points, and December’s 352 basis points.
Projecting forward using past values of the spread
and GDP growth suggests that real GDP will grow
at about a 1.17 percent rate over the next year,
essentially unchanged from January. Although the
time horizons do not match exactly, this comes in
on the more pessimistic side of other forecasts. Like
them, it does show moderate growth for the year.
While such an approach predicts when growth is
above or below average, it does not do so well in
predicting the actual number, especially in the case

Federal Reserve Bank of Cleveland, Economic Trends | March 2010

6

Yield Curve Predicted GDP Growth
Percent
5
4

GDP growth
(year-over-year change)

Predicted
GDP growth

3
2
1
0
Ten-year minus three-month
yield spread

-1
-2
-3
-4

-5
2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
Sources: Bureau of Economic Analysis, Federal Reserve Board, authors’
calculations.

Recession Probability from Yield Curve
Percent probability, as predicted by a probit model
100
90
80
70

Probability of recession

60
Forecast

50
40
30
20

Of course, it might not be advisable to take these
number quite so literally, for two reasons. (Not
even counting Paul Krugman’s concerns.) First,
this probability is itself subject to error, as is the
case with all statistical estimates. Second, other
researchers have postulated that the underlying
determinants of the yield spread today are materially different from the determinants that generated
yield spreads during prior decades. Differences
could arise from changes in international capital
flows and inflation expectations, for example. The
bottom line is that yield curves contain important
information for business cycle analysis, but, like
other indicators, they should be interpreted with
caution.
For more detail on these and other issues related to
using the yield curve to predict recessions, see the
Commentary, “Does the Yield Curve Signal Recession?”
To read more on other forecasts:
http://www.econbrowser.com/archives/2008/11/gdp_mean_estima.
html

10
0
1960

of recessions. Thus, it is sometimes preferable to
focus on using the yield curve to predict a discrete
event: whether or not the economy is in recession.
Looking at that relationship, the expected chance of
the economy being in a recession next February is
6.3 percent, just up from January’s 5.1 percent and
December’s is 5.5 percent.

1966 1972 1978 1984

1990 1996 2002 2008

Note: Shaded bars indicate recessions.
Sources: Bureau of Economic Analysis, Federal Reserve Board, authors’
calculations.

For Paul Krugman’s column:
http://krugman.blogs.nytimes.com/2008/12/27/the-yield-curvewonkish/
“Does the Yield Curve Yield Signal Recession?,” by Joseph G.
Haubrich. 2006. Federal Reserve Bank of Cleveland, Economic
Commentary is available at:
http://www.clevelandfed.org/Research/Commentary/2006/0415.pdf

Federal Reserve Bank of Cleveland, Economic Trends | March 2010

7

International Markets

Euro Problems
03.02.10
by Owen F. Humpage and Caroline Herrell
Greece’s recent debt problem has many commentators wondering about the viability of the euro zone.
It has also sent the euro reeling. Whether a country
is better or worse off in a monetary union like the
euro zone depends on whether the gains from giving up monetary-policy sovereignty exceed the costs
of losing an important parameter for economic
adjustment. Monetary unions are not one-size-fitsall arrangements.
In January 1999, eleven of the 27 European Union
countries adopted the euro as their currency. In doing so, they agreed to accept a common monetary
policy, which the European Central Bank (ECB)
would determine. A highlight of the ECB is its
commitment to an inflation target of “below, but
close to, 2 percent over the medium term.” Greece
joined the euro zone in January 2001; Slovenia followed in January 2007; Cyprus and Malta climbed
on board in January 2008, and Slovakia enlisted in
January 2009. All European Union members are
obligated to eventually adopt the euro except the
United Kingdom, Denmark, and Sweden.
Having a common currency confers two key benefits on the euro-zone countries: First, those members that previously had less-than-stellar reputations
for low inflation obtain an instant boost in their
credibility. Such countries then face lower borrowing costs than otherwise would be the case, and
their citizens can devote more resources to building
wealth than to protecting the purchasing power
of their existing wealth. Second, a common currency lowers the expense of cross-border euro-zone
commerce by eliminating exchange-rate risk. The
savings can be substantial for small economies that
are heavily dependent on inter-Europe trade and
investment.
Having a common currency, however, can also
impose a serious cost: Member states have less latitude to adjust to specific types of economic shocks.
When domestic wages and prices are inflexible or
Federal Reserve Bank of Cleveland, Economic Trends | March 2010

8

Foreign Exchange Rate of the Euro
Over the Past Year
U.S. dollars per Euro
1.55
1.50
1.45
1.40
1.35
1.30

when international arbitrage is slow, flexible exchange rates can hasten a country’s adjustment to
idiosyncratic economic disturbances by facilitating
rapid changes in the price of a country’s exports relative to its imports. In the absence of exchange-rate
movements, the necessary price adjustment must
await changes in profit margins, or in wages and
other input prices. Losing this flexibility is not a big
deal if all of the countries in a monetary union experience similar and coincidental economic shocks.
In that case, bilateral exchange-rate changes would
not aid adjustment, and fixed exchange rates would
seem ideal.

1.25
February

April

March

June
May

August
July

October December February

September November January

Source: Federal Reserve Bank of New York.

When economic shocks are dissimilar, however,
fixed exchange rates are feasible only if other economic variables facilitate the adjustment process.
If, for example, the individual countries within the
monetary union have sufficiently well-diversified
economies so that shocks are negatively correlated
across the producing sectors of any single country,
changes in exchange rates may not be necessary,
since unemployed resources in one sector could be
absorbed in other sectors. Likewise, exchange-rate
changes may be unnecessary if factors of production are highly mobile across international borders
within the monetary union. Absent factor mobility,
fiscal transfers across countries could also ease the
adjustment to temporary shocks without recourse
to exchange-rate changes. Of course, when prices
and wages are highly flexible, export prices can
adjust quickly without a change in the nominal
exchange rate.
Each country that joins a monetary union must
consider the benefits and costs. That the cost has
often dominated this calculation explains why
monetary unions are rare and often fragile arrangements among sovereign nations. That said, the
United States did it!
“How Long Did It Take the United States to Become an Optimal
Currency Area?”
http://www.nber.org/papers/h0124
“In Order to Form a More Perfect Monetary Union”
http://www.minneapolisfed.org/publications_papers/pub_display.
cfm?id=254

Federal Reserve Bank of Cleveland, Economic Trends | March 2010

9

Economic Activity

Economic Projections from the January FOMC Meeting
02.23.10
by Brent Meyer
The economic projections of the Federal Open
Market Committee (FOMC) are released in conjunction with the minutes of the meetings four
times a year (January, April, June, and November). The projections are based on the information available at the time, as well as participants’
assumptions about the economic factors affecting
the outlook and their view of appropriate monetary
policy. Appropriate monetary policy is defined as
“the future policy that, based on current information, is deemed most likely to foster outcomes for
economic activity and inflation that best satisfy the
participant’s interpretation of the Federal Reserve’s
dual objectives of maximum employment and price
stability.”
Data available to FOMC participants on January 26-27 continued to confirm that the economy
was in the midst of a nascent recovery, albeit at a
pace that is expected to be somewhat slower than
an average snapback. Notably, industrial production posted its sixth consecutive gain in December,
with an accompanying 6-month annualized growth
rate of 9.7 percent. At the time, monthly detail on
inventories suggested that the pace of liquidation
had slowed dramatically, providing a large contribution to fourth-quarter growth (which looks to
be the case, as the advance estimate of real GDP
shows that change in private inventories contributed 3.4 percentage points). Moreover, it appeared
that businesses were successful at bringing inventory levels better in line with the pace of shipments,
promoting the environment for further increases
in production (provided demand continues to
strengthen).
Consumer spending seemed to hold on to thirdquarter gains, even when autos were excluded from
calculations. On the other hand, various housingmarket indicators exhibited somewhat of a pullback in the fourth quarter, though this may reflect
some pull-back associated with the initial end date
for some housing tax incentives. Indicators of emFederal Reserve Bank of Cleveland, Economic Trends | March 2010

10

ployment conditions continued to point to a plodding and uneven improvement in the labor market.
The FOMC members’ current forecasts for economic growth are very similar to November’s. In
2010, just the central tendency tightened up on the
lower end—from 2.5 percent to 2.8 percent—with
the upper end of the central tendency remaining
at 3.5 percent. Given the depth of the contraction,
historical patterns would suggest appreciably higher
growth in 2010 (the so-called “v-shaped” recovery).
The committee pointed to “elevated uncertainty”
on the part of businesses and households, and “very
slow” labor-market improvements as limiting factors in the pace of recovery.

FOMC Projections: Real GDP
Annualized percent change
6

November
January

5
4
3
Range
2

Central
tendency

1
0
2010 Forecast

2011 Forecast

2012 Forecast

Longer-run

Source: Federal Reserve Board.

FOMC Projections: Unemployment Rate
Annualized percent change
11
10

Central
tendency

9
Range

8
7
6
5
4

November
January
2010 Forecast

2011 Forecast

2012 Forecast

Longer-run

Source: Federal Reserve Board.

Federal Reserve Bank of Cleveland, Economic Trends | March 2010

January’s central tendency for 2011 and 2012 is
qualitatively similar to November’s projections. The
Committee’s forecast in the out years is for output
to grow above its longer-run trend, thus closing
some of the gap between potential and actual GDP.
Committee members noted that “over time” the
economy would converge to a “sustainable path
with real GDP growing at a rate of 2.5 percent to
2.8 percent.”
FOMC members’ current projections for the
unemployment rate are virtually unchanged from
November, except for a slightly narrower central
tendency for 2010 and a marginally wider tendency for 2012. The Committee noted that, “labor
market conditions would improve only slowly over
the next several years” before settling between 4.9
percent and 6.3 percent in the longer run. However, some participants suggested that underlying
structural adjustments are adding “considerable
uncertainty” to those projections.
FOMC members’ estimates for PCE inflation for
2010 were slightly higher than in November, in
part reflecting increases in energy prices. Interestingly, the 2012 range of PCE estimates tightened
up considerably from November to January. The
release noted that the prospects for global output growth may push energy prices higher over
the medium term. That said, the Committee still
anticipates a “subdued” path for inflation over
the outlook period. Rationale for the restrained
inflation path centered on relatively low rates of
resource utilization (helping to hold down cost
11

pressures), which are anticipated to be tempered
by stable inflation expectations. As evidence, the
central tendency for core PCE inflation ticked up
slightly in January, from 1.0-1.7 percent to 1.21.9 percent. However, the release noted that is still
slightly below the “mandate-consistent” inflation
rate accepted by most members of the Committee.

FOMC Projections: PCE Inflation
Annualized percent change
3.0

November
January

2.5
2.0
1.5

Central
tendency

1.0
Range

0.5
0
2010 Forecast

2011 Forecast

2012 Forecast

Longer-run

Source: Federal Reserve Board.

FOMC Projections: Core PCE Inflation
Annualized percent change
3.0

November
January

In the minutes of January’s FOMC meeting,
“nearly all” participants noted that uncertainty
was higher than historical norms for all forecasted
variables. The majority of respondents continued to
view the risks around their projections of real GDP,
inflation, and the unemployment rate as “roughly
balanced.” In stating the risks to the inflation outlook, Committee members noted that longer-term
inflation expectations may either head lower in
response to continued economic slack and “persistently low inflation,” or drift upward, “especially
if extraordinarily accommodative monetary policy
measures were not unwound in a timely fashion.”

2.5
2.0
1.5
1.0
0.5

Central
tendency

Range

0
2010 Forecast

2011 Forecast

2012 Forecast

Source: Federal Reserve Board.

Federal Reserve Bank of Cleveland, Economic Trends | March 2010

12

Economic Activity

Signs of Abating Default Risk
03.03.10
by Filippo Occhino and Kyle Fee
The last recession has been so severe that firms
have clearly faced a higher risk of defaulting on
their liabilities. When firms face a high probability
of default, they tend to underinvest, a distortion
known as “debt overhang.” This in turn reinforces
the direct negative effects of the initial shock that
caused the recession. Likewise, the recession, with
its exceptionally high unemployment rate, increased
some homeowners’ risk of default on their mortgages. Recent improvements in economic conditions may be having a positive effect on the risk of
default in the economy, both for corporations and
homeowners, and we check a few measures of risk
to see if this is the case.

Corporate Bond-Treasury Note Spread
Percentage points

Credit spreads are the primary indicators of borrowers’ risk of default. The spreads that contain
information on corporate default risk are those
between corporate bond yields and Treasury rates.
After deteriorating sharply during the second half
of 2007 and during 2008, these spreads have markedly declined in 2009 and are now at levels that,
although still elevated, are close to their historical
means. The current level of the spread between
the yields of Baa-rated corporate bonds and 10year constant maturity Treasury notes is about 2.7
percent, only half a percentage point higher than
its post-1990 historical mean. The recent improvement in these spreads points to a decrease in the
market-assessed corporate risk of default.

7
6
5
4
Baa
3
2
1

AAA

0
1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010
Note: Shaded bars indicate recessions.
Source: Federal Reserve Board.

Credit default swaps (CDS) provide further information about corporations’ credit risk. The fiveyear CDX North America Investment Grade Index
tracks the average cost of buying CDS protection
against the default of any of the underlying 125
North American investment-grade companies. If
the five-year index is 100, a market participant
can buy five-year protection on all of the 125
companies by paying annually 100 basis points, or
$10,000 per $1 million worth of protection, per
company. When the index increases, the perceived
risk of those companies defaulting is increasing.

The index sharply increased during 2008 but then
declined during 2009 and is now less than 100: It
costs less than 100 basis points per company to buy
protection against default. The High Volatility Index, which tracks the subset of 30 companies with
the widest CDS spreads, displayed the same qualitative behavior. The trends in both indexes indicate
that the cost of buying insurance against default has
decreased, and likely so has the risk of default.

CDS Spread Indexes
Index
700
600
500
400
300
Investment Grade
200

High Volatility

100
0
2003

2004

2005

2006

2007

2008

2009

2010

Note: Shaded bar indicates recession.
Source: Bloomberg.

Mortgage-Treasury Spread
Percentage points
4
3
3
2
2
1
1
0
1990

1994

1998

2002

2006

2010

Notes: The mortgage rate used is a 30-year fixed and the Treasury rate is a 10-year
note rate. Shaded bars indicate recessions.
Source: Federal Reserve Board.

We turn next to the risk that households will default on their mortgages. Again, credit spreads are
an excellent source of information on this risk, but
for households these spreads are between mortgage
rates and Treasury rates. After increasing during
the second half of 2007 and in 2008, the spread
between the 30-year mortgage rate and the 10-year
Treasury yield has sharply declined during 2009
and is now at levels last seen during the 1990s.
Although such a large decline may be partly due to
the Federal Reserve’s purchase program of federal
agency debt and mortgage-backed securities, it also
indicates a decrease in the market-assessed risk of
mortgage default.
We conclude by observing that, in the period after
1990, measures of the risk of default have been
negatively correlated with investment growth: The
correlations of the AAA and Baa spreads with the
growth rate of nonresidential fixed investment have
been, respectively, −0.55 and −0.70; the correlation of the mortgage rate spread with the growth
rate of residential fixed investment has been −0.38.
There are several reasons behind these negative
correlations. A decrease in investment decreases
future profitability and increases the risk of default; an increase in the risk of default discourages
investment because of a debt-overhang distortion;
and economy-wide adverse shocks simultaneously
decrease investment and increase the risk of default.
In any case, these negative correlations suggest that
the recent improvement in these risk-of-default
indicators is likely to be associated with a strengthening of investment activity.

Regional Activity

Ohio’s Labor Market Cycles
03.09.10
by Kyle Fee
Now that it appears that the worst of the “great
recession” is over, assessing the damage done to
Ohio’s labor market offers insights into what a potential recovery might look like in the state.

State Payroll Employment
Percent change from previous peak
4.0

0.0

-4.0

-8.0

Range
Ohio’s current cycle
Average of all states

-12.0
0

3

6

9

12

15

18

21

24

27

30

Months from previous peak
Source: Bureau of Labor Statistics.

State Unemployment Rate
Change from previous peak
10

Range
Ohio’s current cycle
Average of all states

8
6
4
2
0
-2
-4
0

3

6

9

12

15

18

21

Months from previous peak
Source: Bureau of Labor Statistics.

24

27

30

Over the course of this recession, Ohio’s payroll
employment losses have continuously fared worse
than the state average. To date, Ohio’s payroll employment losses of −6.1 percent have not been the
largest in the country (that would be Nevada, with
10.7 percent), but they have been worse that the
state average (−4.8 percent). Similarly, Ohio’s unemployment rate did not increase the most during
the recession (again, that would be Nevada, at 7.8
percentage points), but it has increased more than
the state average. (Ohio’s unemployment rate has
increased 5.2 percentage points since the beginning
of the recession, compared to the state average of
4.4 percentage points.) These numbers suggest that
Ohio’s labor market recovery will also be slower
than the average state.
Examining Ohio’s previous labor market cycles also
allows one to glean information about the pending recovery. Comparing cycles reveals the severe
impact that the current recession has had on Ohio’s
labor markets. Payroll employment typically bottoms out 15 months after the peak, but it has yet
to reach bottom, and we are currently 24 months
from the peak. Also notice that payroll employment
does not return to peak levels until 35 months
after the peak in the average payroll employment
cycle. An even more worrisome pattern emerged in
the previous two recessions. During the 1990-91
recession, employment never fell that far relatively
speaking, but it took every bit of 35 months for it
to return to peak levels. Moreover, Ohio has still
not returned to peak employment levels since the
2001 recession.
Ohio’s unemployment rate cycles tell a similar story.
This recession saw unemployment rates increase
much more than the average recession (5.2 percent-

age points compared to 2.6 percentage points). Fortunately, it appears that Ohio’s unemployment rate
has stabilized, as it has remained 10.8 percent over
the past three months. However, after the 199091 recession, Ohio’s unemployment rate declined
very slowly (48 months) and has yet to return to its
March 2001 level (3.9 percent).

Ohio Payroll Employment
Percent change from previous peak
4.0

Average of all previous
post-war cycles

Range
2001 cycle
Current cycle
1990 cycle

2.0
0.0
-2.0
-4.0
-6.0
-8.0
0

3

6

9

12

15

18

21

24

27

30

33

36

33

36

Months from previous peak

Discounting the structural problems in Ohio’s
economy such as human capital accumulation,
population loss, manufacturing decline, and so on,
labor market data indicate significant damage has
been done to Ohio’s economy during the recession.
Previous patterns in the labor market data point to
a prolonged recovery.

Source: Bureau of Labor Statistics.

Ohio Unemployment Rate
Change from previous peak
6

Range
2001 cycle
Current cycle
1990 cycle

5
4

Average of previous
four cycles

3
2
1
0
-1
0

3

6

9

12

15

18

21

24

27

30

Months from previous peak
Source: Bureau of Labor Statistics.

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ISSN 0748-2922

Federal Reserve Bank of Cleveland, Economic Trends | March 2010

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