NewGeography.com blogs

A new report from Skills2Compete attempts to address a national problem which continues to diminish our country’s competitive edge in the global economy. The loss of middle-skill jobs and the lack of qualified workers to fill the remaining jobs are major barriers, not only to our economic recovery, but also to our ability to sustain a high quality of life for succeeding generations. The report concludes that a new state policy is needed to align the workforce and education and training to better meet California’s labor market demand. Accomplishing that goal means improving basic skills in the workforce and ensuring that skills training and education is available to anyone post high school. A major policy change is a good start, but the report does not go far enough in addressing what is needed to restore the importance of middle-skill jobs to the economy.

Part of the challenge lies with the current mindset of the public education system and parents who value and push college as the only track to a well-paying and satisfying job. This leaves out a large segment of youth and the workforce who are not college bound and who need training and skills and encouragement to fill middle-skill jobs. Where does a high school student get vocational training or learn about middle skill jobs? Remember woodworking? Metal shop? Drafting?

Vocational education was the name of the program that provided these courses, but now it’s labeled “career tech” and the classes are no longer available in most public high schools. As a result, students have little awareness of these careers. A few years ago, while conducting focus groups of freshman and sophomore students, I was stunned to learn that many did not know what an electrician, welder, auto technician, or HVAC technician did and worse, they disdained those jobs because they thought they were “dirty” and didn’t pay well. This doesn’t bode well for a functioning society or economy. Who will service our cars, fix our plumbing, and build machinery to process our food or the solar panels to heat our homes? It will take more than a policy change to transform awareness, perceptions and values about middle-skill jobs.

The last economic boom was sustained, not by wealth created by high value manufacturing jobs, but by unbridled consumer spending particularly for houses and retail goods. If we want that standard of living to return, then we must address the greater challenge of how to grow and sustain an economy driven by production of goods instead of consumption. Along with a paradigm shift in our educational system that recognizes the importance of middle skill jobs, we must change our attitudes about work and what creates value not only for our economy but our worth to society.

We continue to hold on to arcane principles and entitled expectations about work that are increasingly less relevant in a fast-paced globalized world. We are not prepared to re-invent ourselves and our careers in terms of continuous learning of new skills and training either for middle-skill or knowledge jobs. That is what is ultimately needed to succeed in the rapidly changing workplace.

Leslie Parks has spent over ten years as a practitioner and consultant in the fields of economic and workforce development. She recently served as Director of Downtown Management and Industrial Development for the San Jose Redevelopment Agency until September 23, 2009 when she and 24 colleagues were laid off due to significant budget cuts. Leslie is now preparing for yet another career in the 21st Century workplace.

Check out this chart from geoff at Innocent Bystanders plotting the actual recent unemployment rates against the predicted stimulus-reduced rate from Obama's recovery team:

Google's chart interface is one of the easiest ways to explore unemployment data, allowing for easy comparisons for any state or county.

The news is full of stories about the the impact of the ARRA on job creation, including this one from the The Wall Street Journal about a shoe store owner who created or saved nine jobs with less than $900.

In the story, the Army Corps of Engineers spent $889.60 buying boots from shoe store owner Buddy Moore of Kentucky. Because the boots were purchased with ARRA funds, the Corps asked Buddy to report how many jobs the boot order had “created or saved.” He and his daughter struggled with paperwork, online forms, and a “helpline,” only to make a wild guess 15 minutes before the reporting deadline that they had created nine jobs.

Though not completely spelled out in the article, the impression is that Buddy and his daughter reasoned that they had created or saved nine jobs, because their boots had “helped nine members of the Corps to work.”

This sort of misreporting is now fodder for ARRA opponents, and is the last thing that the White House wanted on its hands. In July the Office of Management and Budget (OMB) issued this memorandum and created a series of PowerPoints and PDFs intended to assist ARRA recipients with their reporting.

These documents do not appear to be currently available on the White House website, but you can find the Google doc here. This list (also not directly available) shows that the Army Corps of Engineers is and was considered a primary recipient. Given its status, it is the one required in the initial PowerPoint to report the “job creation narrative and number.”

As a prime recipient, the Corps should have been briefed on the fact that the key data issue to avoid was: “Significant Reporting Errors: (which are) instances where required data is not reported accurately and such erroneous reporting results in significant risk that the public will be misled or confused by the recipient report in question.”

They also would have had to listen in to this presentation on data quality, which stresses that prime recipients are fully responsible for the quality of the data. The Corps could have caught the reporting mistake by running a simple math equation, which would have indicated that the shoe store had created a full-time job for every $98.84.

If this were true, only $2 billion (administered by Buddy Moore) would have reemployed every single unemployed person in the US, a savings of $785 billion to the American taxpayer.

In the end, it turns out that because the payment made by the Corps was less than $25,000, the Corps (while responsible for reporting the total number and amount of small sub-awards less than $25,000) was not required to have Buddy Moore report anything.

Prime recipients are still responsible to report a total jobs creation estimate based off what sub-recipients and vendors do with the funds they disperse. To do that, the Corps could have called up Buddy and asked him to estimate the extra hours he worked for that specific order, and calculated Full Time Equivalents using those hour(s) by “… adding the total hours worked by all employees in the quarter, and dividing by the total hours in a full-time schedule.”

In this case, let’s assume he worked an extra hour filling the boot order. A quarter-year full-time job would take 520 hours to complete, so he would report that the Corps funds created 1/520 of a quarterly FTE (.001923 FTE), or just about 2/1000th’s of a full-time job for a quarter of the year. The shoe store’s estimate of job creation, therefore, was 4,680 times too big.

The OMB’s method of job reporting is, by our estimation, a good way of quantifying job creation. The problem, highlighted by the WSJ article, is that average businesses and recipients have had a hard time understanding what data was needed in the first place, and then what they were supposed to do with it.

Mark Beauchamp is a customer service representative at Economic Modeling Specialists Inc., an Idaho-based data and economic analysis firm.

Illustration by Mark Beauchamp.

Houston city councilman Peter Brown, unique as a devotee of smart growth (compact development) in this city of light land use regulation, placed third in the mayoral election yesterday. Brown had long advocated Portland-style smart growth land use and development policies for the city of Houston and looked likely to garner the most votes in the four-way race. Brown, an architect and urban planner, spent more than $3 million of his own money in the election.

The Houston metropolitan area distinguished itself by not experiencing the profligate credit and smart growth related house price bubble and, as a result experienced little decline in house prices and largely avoided the Great Recession. Houston is the largest municipality in the nation without zoning, however, with land regulation being principally limited to private covenants between land owners. Other Texas metropolitan areas also averted the housing bubble and the Great Recession, because their generally more liberal approaches to land regulation did not produce the price distortions that occurred in more highly regulated metropolitan areas as in California, Florida, Arizona, Nevada, the Pacific Northwest and the Northeast.

A few days ago BusinessWeek released a list of the top 40 metropolitan economies based on data compiled at the Brookings Institution's Metromonitor project. But, as many old media sites tend to do, they've locked the list behind a slow-loading slide show in a cheap attempt to drum up page views. Many of the commenters to the original article couldn't even find the list.

So, in the interest of usability, here's the top 40 in boring list format:

Trends? Looks like energy economies, state capitals, university-heavy towns, generally affordable regions that avoided the housing boom, and a few old industrial centers that suffered the brunt of decline 25 years ago and now may be positioned for an up-swing.

Here's an explanation of the list methodology:

The Brookings Institution ranked the 100 largest metros by averaging the ranks for four key indicators: employment change, unemployment change, gross metropolitan product, and home price change. Employment was measured by the change from the peak quarter for each metro to the second quarter of 2009. The peak was the quarter in which the metro had the most jobs during the past five years. Unemployment was ranked by measuring the percentage-point change from the first quarter of 2009 to the second quarter of 2009. Gross metropolitan product was measured from the peak quarter to the second quarter of 2009. And the ranking of home prices compared the second quarter of 2009 to the previous quarter. The employment data were provided by Moody's Economy.com, the unemployment data were collected from the U.S. Bureau of Labor Statistics, and the home price index came from the Federal Housing Finance Agency.

Source: The Brookings Institution's MetroMonitor