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Introduction
In the United States and
other developed economies, the labor market impacts virtually all segments of
society. Almost everyone is participating, has participated, or will participate
in the labor force, with wages derived from labor the primary source of income.
Projections about future labor market conditions drive human capital and
business decisions, with widespread effects on the economy and society as a
whole. However, the labor market is also one of the most dynamic elements of any
economy, and can vary significantly across regions. As such, this paper analyzes
specific elements of Wisconsin’s labor market, focusing on recent trends and
future challenges for the state as a whole, and for Marathon, Portage and Wood counties
specifically. As a framework for analysis this paper examines the labor market
from the three basic elements of any labor market: equilibrium, supply, and
demand. The first section examines equilibrium outcomes, and sets the stage for
further analysis by placing Wisconsin’s labor market in a national context. The
second section discusses important trends and challenges concerning labor
supply, while the third section addresses the same issues for labor demand. The
paper concludes by highlighting possible public policy and other solutions to
the labor market challenges.
Equilibrium Outcomes:
Employment and Wages
In terms of the labor
market two variables that can be considered equilibrium outcomes are employment
and wages. While many labor markets are far from perfectly competitive, at least
to some extent, these outcomes are determined by the interaction of labor supply
and labor demand, and not just by one or the other. To provide a basis for
analysis and to place Wisconsin in national context,
information on employment and wages is presented in Table 1. The information is
broken down into ten broad industrial categories of private industry.
Information for Wisconsin is presented in the first two columns while the
remaining columns present the same for the United States as a whole. The first
column for each region contains employment, average annual wage in constant year
2005 dollars, and the percent of total employment attributed to each industry in
2005. The second column for each region presents the percentage change of the
variables since the last recession year in 2001.
Examining the percentage of
total employment in each sector one sees that the pattern of employment in
Wisconsin follows the national pattern with only a few minor exceptions. For
both Wisconsin and the United States trade, transportation and utilities employ
the largest percentage of workers with over a fifth of total private employment,
while natural resources represents the smallest sector of employment with under
a percent. However, Wisconsin relies relatively more on education and health
services (21.21% to 15.53%) and manufacturing (19.63% to 12.75%) than the United
States and relatively less on professional and business services (10.21% to
15.12%).
Along with similar
employment allocations, a similar pattern of employment change is evident,
although the magnitudes of change vary significantly. The most significant
factor is that Wisconsin has not benefited as greatly from the economic
expansion since November 2001 as the United States overall, with employment
growing by only 0.17% by 2005, roughly a fifth of U.S. growth. Wisconsin also
changed in different industrial sectors than the national trend, although some
of the differential likely was due to differences in the relative importance of
the sectors in overall employment. Wisconsin grew significantly more slowly in
construction and education and health services, more quickly in professional and
business services, and lost significantly fewer jobs in information and
manufacturing than the United States. The slower decline in manufacturing is
particularly important for Wisconsin given the relative dependence on this
industrial sector for jobs.
Another issue which is
evident from the wage information in the table is that the expansion since 2001
has not necessarily benefited employees financially either in Wisconsin or the
United States. Of the ten industrial sectors, Wisconsin saw real wage declines
in four categories, while the United States saw declines in five. Given the slow
overall job growth this fact may not be too surprising, although it is somewhat
troubling given the relatively weak performance of wages during the last
expansion in the 1990s as well.
Although Wisconsin as a
whole matches national patterns in employment and wages relatively closely,
there is a great deal of variation within Wisconsin. Employment and wage
information for Marathon, Portage and Wood counties is
presented in Table 2. In terms of employment shares the three counties have
different strengths, with Marathon County employing the largest share of its workers in manufacturing, and
Wood County focusing on education and
health services. For Wood County the numbers clearly
reflect the influence of the two largest employers, namely Marshfield Clinic and
St. Joseph’s Hospital (Department of Workforce Development 2005b). Portage
County’s largest employment share is in the trade, transportation and utilities
category, although Portage
County also shows a relatively larger share of employment compared to
Marathon and Wood counties in the financial activities sector due to their
largest employer Sentry Insurance (Department of Workforce Development 2005a).
Table 2 also shows that the
three counties have fared much differently since 2001. While Marathon
County enjoyed robust 3.51% job growth,
Portage and Wood Counties experienced employment
declines, with Wood County losing almost four
percent of their jobs since 2001 despite the economic expansion. Relative to the
other two counties Marathon County experienced strong growth in information and manufacturing, managing
small increases in employment compared to large declines in the other two
counties. Marathon
County also experienced strong growth in education and health services which is
significant given the relatively high average wage in the sector.
Portage
County did experience relative employment gains in construction, other
services, and trade over the period, but also posted double digit losses in the
information, manufacturing, and natural resources sectors. Wood County saw
dynamic changes in employment patterns over the time period seeing solid
increases in education and health services and professional and business
services employment, but also seeing huge declines in employment for financial
activities, -25.06%, information, -19.55%, manufacturing, -24.89%, and other
services, -40.15%. Of particular interest given the state and national trends is
that Marathon
County was not only able to avoid the common declines in manufacturing
employment, but they were also able to increase the size of the manufacturing
sector. In contrast, Portage and Wood Counties simply saw the national
trend played out to a greater degree.
Not surprisingly given the
employment changes, there was also a wide difference in wage trends. Marathon
County did experience real wage declines in four of the ten industrial sectors,
although none were particularly severe in terms of magnitude or in terms of high
employment sectors affected. Predictably,
Portage and Wood Counties saw more severe wage
declines. Portage County experienced wage declines in half of the sectors, with
the decline in trade, transportation, and utilities particularly severe, both in
terms of the magnitude, -13.87%, and the fact that over a quarter of workers are
employed in the sector. Wood County saw wages decline in six of the ten sectors with large magnitude
declines in financial activities, information, and other services. A hidden
positive to the wage numbers for Wood County though was the fact
that none of the large declines occurred in high employment sectors, while the
education and health services and trade sectors, which combined employed over
60% of Wood County workers, both experienced
robust wage growth of 6.21% and 8.32% respectively.
The starkest conclusion
that can be reached from Tables 1 and 2 is that labor market equilibrium
outcomes have been markedly different within the Central Wisconsin region
despite the geographical proximity of the three counties. Marathon
County fared much better than both
Portage and Wood Counties, and also outperformed
the state and nation over the recent expansion. The next two sections examine
some potential challenges that may arise for Central Wisconsin that are sure to
cause more changes in these equilibrium outcomes.
Issues in Labor Supply:
Population Aging and Increasing Education
In terms of labor supply,
the workers who make up the labor force, perhaps the single largest issue facing
Wisconsin and the United States is the aging of the population. While
accelerated by the Baby Boom generation, the trend of population aging has been
fueled by more general trends in birth rates and mortality primarily. Population
numbers for 1990 and 2005 are presented in Table 3 by age group and region,
along with population projections for 2020. The top panel for each state/county
presents the percentage of the age 20 and older population that falls within
each age category, while the bottom panel displays the absolute population
numbers.
The most striking trend for
Wisconsin and all three counties since 1990 and projected out to 2020, is the
decline in the percentage of the population within the age 20-29 range and the
increase in the percentage of the population within the age 55-64 range. Even
disregarding the implications of an aging society on public programs such as
health care and pensions, the trends are important because of their effects on
the size of the labor force. The share of workers entering the labor force is
falling while the share of those workers in the traditional retirement age
bracket and soon to be leaving the labor force is rising. Within the near future
employers may be faced with the fact that ready replacements of young workers
are not available to fill the positions left by older retiring workers. This
potential relative labor shortage could force employers to reevaluate their
recruitment and retirement policies, or look in different places for workers.
While the age shares of
population numbers show the potential problems of an aging workforce, the
absolute population numbers illustrate differences in the magnitude of the
problem across the three counties. Although Wisconsin and Marathon County do
display the trends in population shares leading to an aging workforce, between
2005 and 2020 the absolute numbers of 20-29 year olds is expected to increase
slightly, partially offsetting the absolute increase in age 55-64 year olds. On
the other hand, Portage and Wood counties are not only seeing their work force
age in terms of population shares, but are also projected to see absolute
declines in the age 20-29 population between 2005 and 2020 further exacerbating
the problem of replacing retiring workers.
In addition to the aging of
the labor force, Wisconsin may face problems with the size of the labor force
overall. Turning to the numbers for the workers in the traditional labor force
age range, 20-64, we see that the share of the population in traditional age
ranges is declining for Wisconsin as well as the three
counties individually. In the state and in Marathon
County, the share of the population age 20-64 is projected to drop from about
82% in 2005 to about 77% in 2020, with larger percentage point declines in
Portage and Wood County. In terms of absolute
numbers the labor force aged share of the population is expected to increase by
2020 except in Wood County which is projected to see
small declines.
The projections to 2020 may
also not catch the entire severity of the issue. The Baby Boom generation
includes births between 1946 and 1964 meaning that Boomers will not reach age 65
until between 2011 and 2029. Projections reaching to only 2020 only capture the
midpoint of the Baby Boom age range, with the full effects of the generational
bubble likely not felt until about 2030. Looking at projections out to 2030
(unreported numbers) this appears to be the case, with absolute numbers for the
age 20-64 population projected to decline between 2020 and 2030 for Wisconsin
and all three counties. Combined with the relative shortfall of younger workers,
this population trend of overall labor shortage may place significant pressure
on employers to meet labor demand in growing industries.
A second labor supply trend
that may significantly alter the shape of the labor force is the trend towards
greater levels of education. Numbers reporting the educational attainment of
individuals age 25 and over are presented in Table 4. The table includes the
percentage of the population with various levels of educational attainment for
the last two decennial censuses in 1990 and 2000, along with the percentage
point change in each category over the time period.
What is immediately clear
from the information in the table is that the population received markedly more
education over the 1990s for all four geographic categories. For all four
regions, every educational category other than less than a high school graduate
increased its share (except for the Associate degree category for Wood County which stayed essentially
the same). Additionally, the largest percentage point increase occurred in the
Bachelor’s degree category except for in Wood Country where it was the second
largest gainer. Even more positive are numbers for Wisconsin and Portage
County where the categories with the second largest percentage point gains were
both post-secondary degrees, a graduate or professional degree for the state
overall and an associate degree for
Portage County. Clearly the population as a whole shifted towards receiving greater
education during the 1990s, a trend which obviously leads to a higher skilled
work force. While past performance is not necessarily an indication of future
trends, recent projections for the United States do suggest that the trend
towards greater education will continue, at least through 2025 (Cheeseman Day
and Bauman 2000). If this is indeed the case, it signifies a very positive trend
for the state as employers should have a higher skilled pool of labor to choose
from. In addition, if productivity gains follow worker skills, increasing
education could be a potential way to alleviate the possible future labor
shortage.
Labor Demand: Employer
Skill Needs
Although in general it
would appear that increasing levels of education is a positive trend for
workers, whether they actually benefit from receiving more education depends on
whether there is a demand for their skills. Although specific employment levels
can be considered an equilibrium outcome, in a general context employment is
driven by labor demand and the needs of employers. Even the highest level of
worker skills will not benefit the individual if no one is willing to pay them
for it.
Examining projections of
employment over the next decade provides mixed evidence over the future skill
needs of employers. Employment projections out to 2012 for occupations in North
Central Wisconsin (Adams, Forest, Langlade, Lincoln, Marathon,
Oneida, Portage, Vilas, and Wood
counties) are presented in Table 5, chosen by various measures of performance.
The second through fourth columns of the table present the numeric and percent
change in employment between 2002 and 2012 as well as the average annual job
openings in each occupation. The final two columns present the typical level of
education or training required in each occupation as well as the average annual
wage for the occupation (in 2005$).
The top panel of Table 5
presents the top ten occupations selected on the greatest number of average job
openings per year (new positions plus replacements). Examining the occupational
titles it appears that the vast majority of the jobs are relatively low-skill,
with an average wage for the ten of only $28,234. Three of the ten are low-skill
sales related occupations, two are low-skill food preparation and service jobs,
and two more are low level transportation and material moving occupations.
Turning to the education/training requirements the low-skill nature of the jobs
is even more evident as seven of the ten occupations require only short term
on-the-job training, while two more require only moderate on-the-job training.
Only one occupation, registered nurse, requires a Bachelor’s level education and
earns an average annual wage greater than $50,000. The occupational projections
suggest that while residents may be receiving more education, employers may not
necessarily be looking for highly educated workers when hiring.
A more positive outlook
appears if a different metric is used to select the top ten occupations, fastest
percentage growth, with the results presented in the middle panel of Table 5.
Selecting on this condition the top ten projected occupations in 2012 do appear
to require higher levels of education. Only three of the ten occupations require
short or moderate on-the-job training, while five require a Bachelor’s or
Associate degree. In addition, one of the occupations, physical therapist,
requires a Master's degree as the typical level of education. The ten
occupations also pay a much higher wage on average, with the group averaging
$42,378, roughly 50% more than the occupations in the top panel. However,
looking at the numeric increase in employment levels between 2002 and 2012 it is
unclear how significant an impact the occupations will actually have on the
economy as the higher skilled occupations create far fewer jobs in absolute
terms than the lower skilled occupations in the first panel.
Another perspective to take
when examining the skill needs of employer is to look at which occupations are
leaving North Central Wisconsin. The bottom panel of Table 5 presents the ten
occupations with the largest absolute numeric declines in employment over the
time period. Although losing jobs is never a good thing for an economy, one
moderately positive view that can be taken away from the numbers is that none of
the occupations is a high-skill, high-pay occupation. All ten of the occupations
require either short or moderate on-the-job training, and as a whole the ten
occupations have an average wage of only $29,786. One interesting fact is that
the ten occupations fall within only two broad occupational categories:
production, and office and administrative support. While the fact that
production jobs are declining is a well-documented trend, the office and
administrative declines may be a bit more unexpected. However, looking at the
occupational titles, many of the positions may be lost due to the higher levels
of computer literacy possessed by the work force. Much of the computer related
tasks previously performed by one secretary or typist may now be performed by
the individual workers themselves, eliminating the need for these positions.
Considering the three
pieces of information in Table 5 as a whole, it is unclear exactly what we can
expect to happen in terms of employer skill demands over the next few years.
While the projections suggest, as expected, that the region is losing lower
skill production jobs, the skill requirements of the jobs being gained are more
mixed. Numerically, many jobs added will be relatively low-skill, but it appears
that there will be a strong and fast growing need for higher skill workers in
some areas of the labor market. Which jobs are created over the coming years is
a concern particularly given the increasing levels of education in the economy.
If high-skill jobs are not created to employ educated workers, many of whom will
be the younger workers just entering the labor force, the state and Central
Wisconsin region risks losing their educated workers to other geographic areas.
Given the already low absolute number of young workers projected to be entering
the labor force in the future, the migration of these young, educated workers to
other areas may exacerbate the labor supply problems previously discussed.
Addressing Labor Market
Challenges: Public Policies and Other Solutions
Although the challenges
concerning labor supply and labor demand are significant, there are things that
can be done to alleviate the effects, particularly if the problems are
recognized. With respect to the aging population, one potential strategy is very
basic: do nothing. While the population trends are clear, the projection of a
labor shortage due to population aging depends to some extent on the assumption
that workers will not change their retirement behavior and will follow
historical trends of retirement ages. However, this may not be the case as many
older workers do not currently, and will not in the future, have the same level
of retirement income security as past generations. The shift away from Defined
Benefit pensions toward 401(k)/IRA Defined Contribution type pensions has
shifted risk onto employees. When combined with rising health care costs,
workers may have to work longer simply to be able to support themselves
financially. If the trend towards longer work occurs, it may remove, or at least
reduce, the projected labor shortage.
While the population trend
is likely to be partially offset by extended labor force participation, it does
not seem to be completely resolving the problem. Already in 2005, an AARP study
of human resources managers reported that 58% thought it was more difficult to
find qualified job applicants today than five years ago, and that the majority
thought a labor shortage would occur in the coming decade (AARP 2005). In
response to the expected shortage it appears that the do nothing strategy may
not be advisable.
If a shortage is indeed
occurring, there are two clear options of how to alleviate the population
trends: convince older workers to stay longer or attract a greater number of
younger workers. While logistically both would solve the problem, attracting a
greater number of younger workers may not be an economy wide solution as the new
workers may not exist. One company, industry, or region’s success at attracting
a greater share of young workers will simply exacerbate the problems of the
other groups. This shortcoming leaves retaining older workers as the most
efficient strategy for the overall economy. However, convincing older workers to
stay at work may be easier said than done. To do so, employers will likely have
to shift the components of compensation packages towards components favored by
older workers, primarily health insurance. In the face of skyrocketing health
care costs employers may be reluctant to pursue this path.
Another potential strategy
to retain older workers is to offer more flexible work arrangements or ‘partial
retirement’ schemes where employees reduce hours or responsibilities, or
telecommute to reduce work related stress. The benefit of the plan is the
retention of experienced, productive older workers who are not ready for a full
retirement, but may not be willing or able to face the demands of full time
work. This strategy does appear to be occurring although the evidence of its
effectiveness is mixed. One study examining the trend reports that while 73% of
employers surveyed report a willingness to adopt such policies to retain
workers, only 36% have actually done so (Hutchens 2003). The shortfall between
reported willingness to implement policies and actual implementation casts doubt
on how honest the efforts to use these plans actually are.
Governments may also be
able to help in the retention of older workers through alterations to pension
law. The way many traditional Defined Benefit pensions are structured, workers
who reach scheduled entitlement ages may actually make the same amount, or even
more, by retiring than by continuing to work. In more extreme cases some plans
even punish continuing work by reducing future pension benefits for each year
worked past the specified retirement ages. Current pension law does not allow so
called ‘in-service’ disbursements, where individuals receive payments from their
pensions while working at the same employer, until the normal retirement age is
reached. If the individual wishes to reduce hours earlier, they are not able to
supplement their wages with pension disbursements. Removing this provision may
have the effect of encouraging continued labor force participation as employers
could reduce their labor costs by offering reduced wage/hour packages for older
workers, while from the employee’s perspective they would actually be making the
same or more for fewer hours as wages would be supplemented by their accrued
pension.
Turning to the labor demand
concerns the solutions are somewhat more difficult. While the younger more
educated generation of workers should be able to fill the projected growth in
relatively low-skill occupations if they choose to do so, the skill mismatch
between the supply of workers and the demand of employers may cause migration of
the younger workforce out of Wisconsin and the North Central region to areas
where their skills are in high demand. A natural solution to the problem is to
encourage the growth of higher-skill industries and occupations so that young
workers have employment opportunities within the state. However, encouraging
high-skill, high-wage employers to enter a region is a goal of virtually all
areas, making competition for industry location fierce. A possible strategy for
Central Wisconsin could be to forge stronger relationships between employers and
the institutions of higher education within the region, perhaps through
increased internship opportunities or placement and recruitment services. These
programs may help keep younger workers in the Central Wisconsin region, showing
employers that if they locate in the area they will have a ready supply of
workers. For Marathon, Portage and Wood counties in
particular this may be a way to gain a competitive advantage over other regions
as the region boasts three University of
Wisconsin institutions, the four year
University of Wisconsin – Stevens Point, as well as UW –
Marathon County and UW – Marshfield/Wood County.
In conclusion, the Central
Wisconsin counties do face some significant labor market challenges over the
coming years, but steps can be taken to minimize the effects. With innovation
from employers and timely public policy Marathon, Portage and Wood counties should
be able to successfully address the challenges and reestablish a pattern of
robust employment and wage growth.
References:
AARP. 2005. The Business
Case for Workers Age 50+. Washington, DC.
Cheeseman Day, Jennifer and Kurt J. Bauman.
2000. “Have We Reached the Top? Educational Attainment Projections of the U.S.
Population”. U.S. Census Bureau
Population Division Working Paper. No. 43.
Department of Workforce Development. 2005a.
Portage County Workforce Profile.
Madison, WI.
Department of Workforce Development. 2005b.
Wood County Workforce Profile.
Madison, WI.
Hutchens, Robert M. 2003. “The Cornell Study of
Employer Phased Retirement Policies: A Report on Key Findings” Faculty
Publications-Labor Economics. Vol. 3.
WI Department of
Administration. 1990 Census of Population and Housing.
WI Department of
Administration. Census 1990. WisStat Interactive Data Source.
WI Department of Administration. Population
Projections for Wisconsin Counties by Age and Sex: 2000–2030.
WI Department of Administration.
Wisconsin State, Counties and Municipalities
Demographic Profiles 2000.
WI Department of Workforce Development. Long
Term Occupational Projections, 2002-2012 North
Central WI.
WI Department of Workforce Development.
Quarterly Census of Employment & Wages, June 2005.
WI Department of Workforce Development.
Quarterly Census of Employment & Wages, December 2005.





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