Category: Colorado Economy

Gross Firm Openings Flat Since Late 2003

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The Business Employment Dynamics (BED) data set produced by the Bureau of Labor Statistics reports gross changes in employment and firms on a quarterly basis. Several weeks ago, this blog reviewed gross changes in employment and found that job creation declined during the Lost Decade. As a result, the net change in jobs was decided by the level job layoffs or closures rather than job creation at new or existing firms.

This post will provide insight into the recovery from the past two recessions from the perspective of firms. It will look at gross openings and closings, a subset of gross firm gains and losses. Gross openings include new firms, firms that have been inactive, and seasonal firms. As such they include entrepreneurs and others. Gross closings include firms that are ceasing operations permanently, temporarily, or on a seasonal basis.

The following analysis shows Colorado gross opening and closings with averages for the following periods.

• Q1 1993 to Q4 2000 (32 quarters or 96 months).
– In this period of expansion, gross firm openings exceeded gross firm closings in 31 of the 32 quarters.
The 1990s were a period of innovation and growth. There was significant job churn. Gross firm openings and closings increased at similar rates and were highly correlated.

• Q1 2001 to Q2 2003 (10 quarters or 30 months).
– In this period of decline, gross firm openings exceeded gross firm closings in 9 of the 10 quarters.

• Q3 2003 to Q1 2008 (19 quarters or 57 months).
– In this period of recovery, gross firm openings exceeded gross firm closings in 16 of 19 quarters.

• Q2 2008 to Q4 2009 (7 quarters or 21 months).
– In this period of decline, gross firm closings exceeded gross firm openings in 6 of the 7 quarters.

• Q1 2010 to present (7 quarters or 21 months).
– In this period of recovery, gross firm gains exceeded gross firm closings in 4 of the 7 quarters. The average of gross firm openings has been flat since Q3 2003. The deciding factor in net firm change was the decline in the number of gross firms closed.

Since 2003 the average number of gross firms opened has remained flat. The average number of gross firms closed determined whether the net change was positive or negative. This lack of firm openings explains why the job recovery from both recessions has been so weak.

©Copyright 2011 by CBER.

The Colorado Economy is Outperforming the U.S.*

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Earlier this year, President Obama sparked a debate about the health of the economy when he said, “The private sector is doing fine.”

At the national level, the private sector began adding jobs in February 2010 and has consistently added jobs since. The private sector has regained about 48% of the jobs lost in the recession, as compared to the peak in 2008. That part of the debate is clear.

On the other hand, the number of total government jobs has been on the decline since January 2008 (temporary employment associated with the 2010 Census is excluded). Shrinking budgets have caused federal, state, and local agencies to tighten their belts.

Closer to home, Colorado leaders are proudly proclaiming that the state is recovering faster than the U.S. Unfortunately, the sense of optimism displayed in this statement requires an asterisk.

The state’s private sector began adding jobs in January 2010. It has regained about 49% of the jobs lost in the recession, as compared to the peak in 2008. By this measure of improvement, Colorado’s private sector is recovering from the recession at a similar rate as the U.S. Whether that level of growth is “fine” is a debate for a different time. (It should also be noted that current private sector employment is below the peak prior to the 2001 recession.)

Government employment is the difference maker. In contrast to the national level where there is a decline, the number of government jobs in Colorado has increased slightly since 2009. As a result, total Colorado employment has regained jobs lost in the recession at a faster rate than the U.S.*

 

©Copyright 2011 by CBER.

Slow Recovery Driven by Lack of Job Creation

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Most employment data sets report net jobs gains (gross job gains minus gross jobs losses). The Business Employment Dynamics (BED) data set produced by the Bureau of Labor Statistics reports gross changes in employment on a quarterly basis and provides insight into the recovery from the past two recessions.

Gross job gains occur when jobs are added by existing companies (openings) or new companies (expansions). Gross job losses occur when companies lay off some of their workers (contractions) or all of their workers (closings).

In the chart below the light blue lines represent quarterly totals for job gains and the light red lines represent quarterly totals for job losses. The data covers from Q3 1993 through Q3 2011 (this is the most current data).

Average gains and losses are calculated for the periods of expansion and decline. The heavy horizontal blue lines represent average gross gains for the period and the heavy horizontal red lines represent average losses for the period.

The following analysis shows Colorado gross job gains and losses with averages for the following periods.
• Q1 1993 to Q4 2000 (32 quarters or 96 months).
– In this period of expansion, gross job gains exceeded gross job losses in each of the 32 quarters. The

1990s were a period of innovation and growth. There was significant job churn. Gross job gains and gross losses increased at similar rates and were highly correlated.
• Q1 2001 to Q2 2003 (10 quarters or 30 months).
– In this period of decline, gross job losses exceeded gross job gains in 8 of the 10 quarters.

• Q3 2003 to Q1 2008 (19 quarters or 57 months).
– In this period of recovery, gross job gains exceeded gross job losses in all 19 quarters. The average job gains for the previous decline were similar to the average job gains for the recovery. The average level of job losses, layoffs or closures, determined whether the net change was positive or negative.

• Q2 2008 to Q4 2009 (7 quarters or 21 months).
– In this period of decline, gross job losses exceeded gross job gains in all 7 quarters. Gross job losses rose significantly while job creation took a nosedive.

• Q1 2010 to present (7 quarters or 21 months).
– In this period of recovery, gross job gains exceeded gross job losses in 6 of the 7 quarters. During the recovery, the deciding factor was the decline in the number of gross jobs lost. The increase in gross job gains was minimal.

Since 2000 the average number of gross jobs has steadily declined. The average number of gross jobs lost has been the determining factor in whether the net change was positive or negative. This lack of job creation, with new firms or existing companies, explains why the job recovery from both recessions has been so weak.

©Copyright 2011 by CBER.

Are Construction Jobs being Added Too Quickly?

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The lack of growth in the Construction sector and problems in the housing market are reasons for the lackluster recovery of the economy. In April, 2012 there were 117,900 Colorado Construction workers, virtually the same as in March 1997.

Over 57,000 construction jobs were lost as a result of the Great Recession and an oversupply of construction workers. The recovery has begun; however, only 9.8% of the lost jobs have been recovered.

By comparison, Healthcare and Higher Education did not experience a downturn. Tourism jobs dropped off slightly but have returned to pre-recession levels. The Extractive Industries; and Professional, Scientific, and Technical Services will reach 2008 peak levels later this year.

When all sectors are considered, about 55% of all lost jobs have been recovered.

It is great news that workers are being added to the payrolls, but does the state still have a surplus of construction workers?. This question is asked because the Construction sector should have a location quotient near 1.0 (the location quotient is a ratio comparing the local concentration of workers to the national concentration).

In January, 2012 the location quotient jumped to 1.23 and has remained near that level since. This means the state’s concentration of construction workers was about 23% greater than the U.S. average.

To put this in a historical perspective, the construction location quotient was less than 1.0 in 1990. It had dropped to this level because the state residential and commercial markets were overbuilt during the 1980s. The state experienced a housing bust and negative net migration for five years.

The strong expansion during the 1990s was supported by the increase in the number of construction workers. By January, 2000 the location quotient reached its peak at 1.46. Over the next 12 years, the number of construction workers declined relative to other sectors and the location quotient gradually dropped to 1.17 in August 2011.

The comparative lack of construction activity will probably prevent an oversupply of construction workers. For example office vacancies remain high enough that there is not demand for significant new construction. There is one major speculative office site being built-in Colorado; it is located in Broomfield.

Current activity appears to be in reaction to demand:
• There has been a greater need for multi-family units than single family housing, resulting in new apartments, condos, and townhouses in certain areas.
• There is demand for infrastructure improvements. Construction continues on FasTracks and improvements to the 36 Corridor are on tap for this summer. (It should be noted that different skills are needed for building houses and infrastructure).
• Finally, the expansion of the extractive industries drives construction activity, in areas such as the Niobrara shale field.

The good news is that jobs are being added. Hopefully they will increase at a rate that doesn’t result in an oversupply.

For a more complete update on the recovery of the Colorado economy, go to https://cber.co/.

 

©Copyright 2011 by CBER.

Warmer Weather – A Source of Job Creation?

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Recently, a local economist hypothesized that the recent strength of the Colorado economy was correlated with a warmer winter. The rationale for this hypothesis was that warmer weather may have benefitted outdoor sports such as golf courses, biking, rollerblading, and so forth. In addition, the economist surmised that retail sales would be stronger because warmer weather was more conducive to shopping and increased construction activity.

On one hand, the warmer weather theory sounded plausible because the weather “seemed” milder this winter, but on the other hand it sounded like it was full of hot air.

Premise 1 – The winter was warmer.
If heating degree days are the defining factor for how cold a winter is, then the period October 2011 through March 2012 was negligibly colder than the prior year. For this six month period, the most recent October, December, and February were colder, the two Novembers were similar, and January and March were warmer this year. (A larger number means it is colder, more heat is needed to heat a building).

October 2010         174 heating degree days
November 2010     645 heating degree days
December 2010     789 heating degree days
January 2011          925 heating degree days
February 2011        863 heating degree days
March 2011             513 heating degree days
Total                      3,909 heating degree days

October 2011          312 heating degree days
November 2011      636 heating degree days
December 2011  1,058 heating degree days
January 2012           763 heating degree days
February 2012         935 heating degree days
March 2012              364 heating degree days
Total                       4,068 heating degree days

Possibly it seemed warmer, because there didn’t seem to be snow on the ground that often. A comparison of snowfall for the metro area shows that there was 2.5 times as much snow this past winter as the prior year.

October 2010         none
November 2010    1.5 inches
December 2010    3.3 inches
January 2011         8.0 inches
February 2011       5.3 inches
March 2011            2.5 inches
Total                      20.6 inches

October 2011         8.5 inches
November 2011    4.5 inches
December 2011 16.5 inches
January 2012        4.9 inches
February 2012    20.2 inches
March 2012         none
Total                     54.6 inches

It is truly a shocker to learn that the past winter was actually colder and wetter than the previous year. The timing of the storms, the lack of wind, or some other factor must have created the perception that it was warmer this past winter.

Even with greater snowfall in the metro area, snowpack is below average and 95% of Colorado is reportedly in drought conditions. Two significant forest fires have occurred and summer hasn’t arrived.

Conclusion: Premise 1 is FALSE.

Premise 2 – The warm weather resulted in increased participation for local sporting activities.
There is no easy way to prove this. HOWEVER, the lack of snow in the ski country, at the right times, was in part responsible for diminished lift ticket sales – a decrease of more than 7%. Ouch that hurts! Not only did the lack of snow hurt ski business it will play havoc with rafting businesses this summer.

Conclusion: #2 Possibly true in the metro areas, FALSE in ski areas.

Premise 3 – Warm weather means stronger retail sales.
This is an interesting concept that is difficult to prove. Cold and snowy weather on key shopping days have reduced retail sales during past Christmas shopping seasons, but there is no evidence that warmer weather has increased trade sales. Retail sales are noticeably higher compared to a year ago, but that is attributed to more people working than last year at this time. And in some cases, sales are higher because retailers have finally been able to raise prices. Sales may be higher in the metro areas, but they are probably below expectations in the ski country because of reduced traffic.

Conclusion: #3 – Possibly true in the metro area, FALSE in ski areas.

Premise 4 – Warm weather means increased construction activity.
For the six month period October to March there were 114,500 construction workers this year versus 113,300 last year. Last June, the Construction sector finally bottomed out from the 2007 recession and has been slowly adding jobs since. The big boost of construction jobs in January is more likely a result of improved economic conditions than warmer weather.

Conclusion:#4 – Inconclusive.

One of the fun things about economics is dissecting “grassy knoll” or “warmer weather” theories to see if they are true, partially true, or false. In this case, it is highly improbable that the “warmer” weather was a source of net job creation. The gains in revenue at Denver golf courses, bike shops, and shopping malls were offset by losses on the ski slopes and sales in mountain t-shirt shops, hotels, and restaurants. The warmer weather will also result in a dismal rafting season and increased costs for fighting forest fires.

For a more complete update on the recovery of the Colorado economy, go to https://cber.co/.

©Copyright 2011 by CBER.

Construction Finally on the Uptick

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Construction was hit harder than most employment sectors during the Great Recession. For a number of years Colorado has had an oversupply of construction workers, relative to other industries. That has significantly lengthened the time of recovery.

Nationally, seasonally adjusted employment peaked in April 2006 at 7,726,000 workers. The number of workers declined with the Great Recession and appears to have bottomed out in January 2011 at 5,456,000. A total of 2,270,000 workers lost their jobs over that 57 month period. Since bottoming out, only 95,000 construction jobs have been added in 14 months.

There was a similar pattern for Colorado, but not as severe. Construction employment peaked in July 2007 at 170,100. It declined with the recession and appears to have bottomed out at 110,400. A total of 59,700 construction jobs were lost over this 47 month period. Since reaching bottom, 6,500 construction jobs have been added in nine months.

To put this in perspective, national tourism employment moved from peak-to-trough-to-peak in 50 months, while it took Colorado tourism employment 44 months to make the same journey. It has taken the Construction sector longer to go from peak-to-trough than it took the tourism industry to lose jobs and regain them.

On April 24, 2012 Aldo Svaldi of the Denver Post reported that the number of homebuilders in the state declined by 80%, a decrease of 2,903 to 616 builders.

Holy Moly Batman!

For additional information on the overall economy go to the cber.co website.

For additional information on the construction industry check out the cber.co report,Colorado’s Construction Industry – Impact Beyond the Hammers and Nails .

 

©Copyright 2011 by CBER.

Leisure and Hospitality Leads the Recovery

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The Leisure and Hospitality (L&H) Sector has played a critical role in the recovery of the national and state economies. It is important because of the number of jobs added and because it is part of the economy in every county in the state.

Nationally, seasonally adjusted employment peaked in December 2008 at 13,560,000 workers. The number of workers declined with the Great Recession and in March 2012 employment surpassed that previous peak, reaching 13,587,000. It took 50 months for the sector to go from peak-to-trough-to-peak.

There was a similar pattern for Colorado. L&H employment peaked in May 2009 at 276,000. L&H Employment declined with the recession and in January 2012 it surpassed the prior peak at 277,800. It took 44 months for the state sector to recover.

While 50 and 44 months is a long time, it is possible that the overall state economy may take close to six years before it reaches the 2006 peak.

Nationally, the time from peak to trough was 24 months, or two years. During this time 637,000 jobs were lost. The recovery period was slightly longer, 26 months.

At the state level, the time from peak-to-trough was 20 months. About 16,000 jobs were lost during this period. The recovery period was 24 months.

It is depressing to consider some of these number; however, it is even more unsettling to think that these numbers describe one of the state’s stronger sectors.

For additional information on the overall state economy go to the cber.co website.

©Copyright 2011 by CBER.

Colorado’s Recovery is Broad Based and Includes Primary Jobs

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Within the past month, there have been several reports citing how Colorado has one of the faster growing economies in the country. This is good news, but it must be remembered that for several years local economists were saying, “Thank God for Nevada, if it weren’t for them Colorado would have the worst economy in the country.” Part of the reason for the comparatively “strong growth” is about 150,000 jobs were lost in the Great Recession and our current tepid growth looks great compared to job losses.

Case in point…  Job losses in Colorado’s Construction sector have been so severe that employment is at mid-1990s levels. The Manufacturing sector declined for 12 years. It is just now beginning to add jobs again. Despite the build out in the Retail Trade sector, employment has been volatile over the past decade. Today it is similar to the late 1990s and retail Trade jobs are up 4,600.

With increased population in the state growth is inevitable in these sectors.

The real story is that the Colorado recovery is broad-based and it is includes primary jobs (jobs that create wealth).

The recovery has been led by the Tourism and Health Care sectors. They are sectors that add jobs in all areas of the state. There are very few primary jobs in either sector. They account for 19,000 of the 47,300 jobs added when comparing Q1 2012 to Q1 2011.

The Manufacturing and Professional Scientific sectors have added a combined total of 7,700 jobs. Many of these are primary jobs.

Colorado has added 3,900 jobs in the Employment Services sector – The addition of temporary jobs is considered a harbinger that the economy is improving.

Only two sectors recorded significant job losses during this period. Combined, the Information and Local Government, excluding schools, sectors declined by 5,700 jobs.

For additional information go to https://cber.co.

©Copyright 2011 by CBER.

DIA Passenger Growth – Another Sign of Improving Economy

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Denver International Airport had 52.8 million people pass through its gates in 2011. This represents a 1.7% increase over the 2010 total of 52.0 million passengers. It is also the fourth consecutive year for DIA to see more than 50 million travelers. These totals place DIA as the fifth busiest airport in the U.S. behind Atlanta, O’Hare,Los Angeles, and Dallas-Fort Worth.

While some carriers have decreased capacity, state and local officials continue to bring additional carriers to the area. Icelandair and Spirit will add flights to Denver in 2012.

This good news is another sign that the national and state economies are showing improvement.

 

©Copyright 2011 by CBER.

LEHD and Quickfacts – Commerce City – A Community with Atypical Demographics

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Are you a data geek looking for a fix? If so, have you tried the LEHD or Census Quickfacts databases?

The two databases contain information from the U.S. Census Bureau and the Bureau of Labor Statistics. They are combined in a way that allows data geeks, public and private leaders, and others to learn more about their local population and workforce and see what makes their local economy work (or not work).

To illustrate this point, let’s take a look at five examples of information that can be gleaned for Commerce City, Colorado. (Those in the Denver MSA think of Commerce City as the home of the refinery located along Highway 270.)

Example 1
In Colorado 24.5% of the workforce has earnings of $1,250 per month or less, 36.1% have earnings of $1,251 to $3,333 per month, and 39.5% have earnings of more than $3,333 per month.

In Commerce City 17.1% of the workforce has earnings of $1,250 per month or less, 34.2% have earnings of $1,251 to $3,333 per month, and 48.7% have earnings of more than $3,333 per month.

This begs the question, “What industries are driving the higher concentration of earnings in the upper wage category for Commerce City?”

Example 2
In Colorado 50.8% of the workforce is male and 49.2% is female.
In Commerce City 73.7% of the workforce is male and 26.3% is female.

So, why are there more men workers than women in Commerce City? What are the types of jobs that cause that difference?

Example 3
In Colorado 50.1% of the population is male and 49.9% is female.
In Commerce City 50.4% of the population is male and 49.6% is female.

OK? The mix of men and women in Commerce City is split about 50-50, but the workforce (example 2) is not. Where do Commerce City employers find the workers to fill their jobs? Where do the Commerce City women go to work?

Example 4
In Colorado the median value of an owner-occupied home is $236,600
In Commerce City, the median value of an owner-occupied home is $206,600

Earlier we learned that Commerce City has a higher percentage of workers in the upper earnings bracket. If that is the case, then why isn’t the value of the homes higher there? Or do the Commerce City workers in the upper bracket live somewhere other than Commerce City?

Example 5
In Colorado 35.9% of the workforce has a Bachelor’s degree or higher.
In Commerce City 19.8% of the workforce has a Bachelor’s degree or higher.

Again, we previously learned that Commerce City has a higher percentage of workers in the upper earnings bracket. If that is the case, then what types of jobs are they performing that pay well and don’t require a college degree? Or do the people with college degrees live elsewhere and work in Commerce City?

In the matter of minutes it is possible to create a profile about any local community in the United States. Once that sketch of a community is prepared, then another series of probing questions can be asked to address policy decisions regarding social, economic, workforce, or education issues.

What’s the story behind your community? Check out LEHD and Quickfacts to learn more.

 

©Copyright 2011 by CBER.