Do Big Cities Help College Graduates Find Better Jobs?
Jaison R. Abel and Richard Deitz
Liberty Street Economics, May 20, 2013

 

 

Although the unemployment rate of workers with a college degree has remained well below average since the Great Recession, there is growing concern that college graduates are increasingly underemployed—that is, working in a job that does not require a college degree or the skills acquired through their chosen field of study. Our recent New York Fed staff report indicates that one important factor affecting the ability of workers to find jobs that match their skills is where they look for a job. In particular, we show that looking for a job in big cities, which have larger and thicker local labor markets (that is, bigger markets with many buyers and sellers), can give workers a better chance to find a job that fits their skills.

Theoretical research in urban economics suggests that the large and thick local labor markets found in big cities can increase the likelihood of job matching and improve the quality of these matches. These benefits arise because big cities have more job openings and offer a wider variety of job opportunities that can potentially fit the skills of different workers. In addition, a larger and thicker local labor market makes it easier and less costly for workers to search for jobs.

Our research focuses on whether college graduates located in big cities are better able to find jobs that match the skills they’ve acquired through their college education. We utilize newly available census data that identify both an individual’s level of education and, for college graduates, undergraduate college major. We construct two measures of what we call job matching for those with a bachelor’s degree. Our first measure, which we refer to as college degree matching, determines whether an undergraduate degree holder is working in an occupation that requires at least a bachelor’s degree. Our second measure, which we call college major matching, gauges the quality of a job match by identifying whether a person is working in a job that corresponds to that person’s undergraduate major. For example, consider a college graduate who majored in Communications. If this person worked as a public relations manager, an occupation that both requires a college degree and relates directly to a Communications major, we would classify this person as matching along both measures. By contrast, if this person worked as a retail salesperson, he or she would be classified as not matching along either measure.

What percentage of college graduates match along these two dimensions? As the chart below shows, we find that close to two-thirds of college graduates in the labor force work in a job requiring a college degree, while a little more than a quarter work in a job that is directly related to their college major.

Share-of-College-Graduates-Working-in-a-Job-Requiring-a-College-Degree

In our staff report, we estimated the relationship between the size and density of a metropolitan area and the probability of job matching to examine whether big cities help college graduates match into better jobs. Estimating these relationships turns out to be quite challenging because biases may result if either the workers or job opportunities in big cities are systematically more or less conducive to job matching. To address this difficulty, our analysis controlled for a wide array of worker characteristics, such as age, gender, marital status, and college major. We also controlled for characteristics of the metropolitan area in which these individuals were located, such as industry structure and differences in economic performance.

The chart below shows our estimates of the probability of job matching across the urban spectrum for each of our measures. The horizontal axis measures the size of a metropolitan area in terms of population and is marked in percentiles. (The correlation between metropolitan area size and density is quite high, so the results along either dimension are similar.) To put these percentiles into perspective, St. Cloud, Minnesota, which has a population of about 190,000, is at the 25th percentile; while Chicago, with a population of more than 9 million, lies above the 95th percentile.

Predicted-Probability-of-Job-Matching

Our estimates suggest that both types of job matching are more likely in the larger and thicker local labor markets available in big cities, with job matching benefits concentrated at the top of the distribution. For example, the probability of a college graduate working in a job requiring a college degree increases from 61.1 percent to 64.5 percent when the population size of a metropolitan area increases from the 50th percentile to the 99.9th percentile. This implies that college degree matching is about 6 percent more likely in a place like New York City than in a place like Syracuse, New York. For the same movement across the urban spectrum, the probability of a college graduate working in a job related to his or her college major increases from 26.7 percent to 29.1 percent, implying that college major matching is about 9 percent more likely. Thus, the larger and thicker local labor markets of big cities appear to help college graduates find better jobs by increasing both the likelihood and the quality of a job match.

Given the expense of college and the potential difficulty faced by graduates in finding a job that utilizes the skills obtained through higher education, improving the chances of finding a good job is clearly important. Our work suggests that living in a big city can help.

Disclaimer
The views expressed in this post are those of the authors and do not necessarily reflect the position of the Federal Reserve Bank of New York or the Federal Reserve System. Any errors or omissions are the responsibility of the authors.

 

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Liberty Street Economics

 

Category: Think Tank

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2 Responses to “Do Big Cities Help College Graduates Find Better Jobs?”

  1. Iamthe50percent says:

    If a job requires a degree, but not a specific major or narrow range of majors then the requirement is just a filtering tool. Such filtering tools can be legal ways to discriminate based on race, age, and class.