Study: Job Earnings Data Does Not Impact Students' Choice of Major

miniature people standing on stacks of coins

In an era where people are demanding that institutions of higher education justify the return on investment of a college education, two researchers have long sought to understand how labor market outcomes influence student decision-making. The latest issue brief by this pair, published by Rutgers University, specifically examined whether access to labor market data changed the choice of major or perceptions of earnings or job security, as well as how that might vary based on whether the student is first-generation or low-income. The bottom line: When students didn't know any better, they expected to earn more than they should, especially in business and STEM fields; yet having access to earning data didn't sway students to consider changing majors.

Michelle Van Noy, assistant research professor and associate director of Rutgers' Education & Employment Research Center, and Alex Ruder, senior community economic development adviser at the Federal Reserve Bank of Atlanta and visiting scholar at the Heldrich Center for Workforce Development at Rutgers, began examining the role of labor market outcomes for student decision-making in 2014. Their newest brief, "Adjusting Expectations: The Impact of Labor Market Information on How Undergraduates View Majors and Careers," relied on data generated in an online survey of undergraduate Rutgers students given during 2015. In total, 4,916 students across all grade levels and majors completed the survey out of an initial panel size of 48,139.

The students were randomly assigned to one of three conditions:

  • They were given no labor market outcomes information;
  • They were given information on median earnings based on employment five years after college; or
  • They were given information on the variation in earnings and job security.

Also, to limit the number of choices students had to work through, the survey focused on six "broad" fields of study: computer, engineering, and physical/ biosciences; healthcare; business; social sciences; education; and humanities. Students were told to pick one of those for their responses. Then everybody was asked to address the same three topics:

  • What they thought they'd earn for fulltime employment five years after graduation;
  • Based on a scale of one to nine, how secure they thought their jobs would be; and
  • The percentage likelihood they'd complete a degree in the field of study.

What did the researchers discover?

First, students who received no earnings information had the highest expectations. Those who received earnings data had lower expectations, though those who received median earnings data only had somewhat lower earnings expectations than those who saw variations in earnings. The differences, according to the researchers, were "sizable and significant" — especially among those in business and STEM. As the report noted, "Students may have formed perceptions of potential earnings in these fields that were driven by this attention and then were adjusted by the earnings data they observed." For example, for those in STEM majors, students supplied with no data estimated an annual salary of $86,720, compared to $76,953 for those outfitted with the median earning information and $80,000 for those given information about the variation in earnings. (The median salary students were supplied with was $60,000; the variation showed a low percentile of $43,000 and a high percentile of $75,000.)

Students who viewed median earnings had lower earnings expectations relative to those with no information, regardless of the students' low-income or first-generation status.

Information didn't influence students' perceptions of job security, no matter what field of study.

Finally, the earnings data didn't change the students' choices of major. "Students' choice of major is a highly complex process influenced by many factors, and this information on earnings alone is likely to be insufficient to substantially sway students' decisions," the report explained.

Overall, suggested the researchers, earnings information can help students better understand their potential earning power as they make decisions about majors or develop expectations for their job searches. "More information on the types of skills and experiences that would help students move to the higher end of the earnings distribution across a range of majors may better inform students in their preparation for a career," they concluded.

The full issue brief is openly available on the Rutgers website.

About the Author

Dian Schaffhauser is a former senior contributing editor for 1105 Media's education publications THE Journal, Campus Technology and Spaces4Learning.

Featured

  • person signing a bill at a desk with a faint glow around the document. A tablet and laptop are subtly visible in the background, with soft colors and minimal digital elements

    California Governor Signs AI Content Safeguards into Law

    California Governor Gavin Newsom has officially signed off on a series of landmark artificial intelligence bills, signaling the state’s latest efforts to regulate the burgeoning technology, particularly in response to the misuse of sexually explicit deepfakes. The legislation is aimed at mitigating the risks posed by AI-generated content, as concerns grow over the technology's potential to manipulate images, videos, and voices in ways that could cause significant harm.

  • close-up illustration of a hand signing a legislative document

    California Passes AI Safety Legislation, Awaits Governor's Signature

    California lawmakers have overwhelmingly approved a bill that would impose new restrictions on AI technologies, potentially setting a national precedent for regulating the rapidly evolving field. The legislation, known as S.B. 1047, now heads to Governor Gavin Newsom's desk. He has until the end of September to decide whether to sign it into law.

  • illustration of a VPN network with interconnected nodes and lines forming a minimalist network structure

    Report: Increasing Number of Vulnerabilities in OpenVPN

    OpenVPN, a popular open source virtual private network (VPN) system integrated into millions of routers, firmware, PCs, mobile devices and other smart devices, is leaving users open to a growing list of threats, according to a new report from Microsoft.

  • interconnected cubes and circles arranged in a grid-like structure

    Hugging Face Gradio 5 Offers AI-Powered App Creation and Enhanced Security

    Hugging Face has released version 5 of its Gradio open source platform for building machine learning (ML) applications. The update introduces a suite of features focused on expanding access to AI, including a novel AI-powered app creation tool, enhanced web development capabilities, and bolstered security measures.