What Do Public Health Graduates Do and Where Do They Go? An Analysis of Job Destinations and Mismatch in Australian Public Health Graduates

Background: It is not well understood what occupations public health graduates have after graduation, nor is it well known whether their education provides them with the relevant knowledge and skills to feel well matched to their occupations. Furthermore, it is commonly presumed that public health graduates work in government, and investments in education would bolster this workforce. Methods: We aimed to describe the common occupations of Australian public health graduates, describe the heterogeneity of graduate destinations, describe the level of mismatch that graduates report, and compare these results with other fields of study. We used eight years of Australian graduate survey data (2008–2015) from the Graduate Destinations Survey, examining outcomes data from 8900 public health graduates from four levels of education. We compared occupation and industry heterogeneity, and level of occupational mismatch between public health graduates, and graduates from other fields of education. Results: Public health graduates report having a broad set of occupations in a broad set of industries after graduation, and this breadth is dissimilar to most health degrees. Furthermore, public health graduates tend to have average or lower-than-average rates of mismatch. Conclusions: Despite going into a broad set of occupations and industries, graduates from public health tend to report being well prepared given their education. Given that both occupation and industry outcomes are heterogeneous for graduates, an investment in public health education does not guarantee an increase in the governmental public health workforce.

Bridges or Barriers? The Relationship between Immigrants’ Early Labor Market Adversities and Long-term Earnings

Using data from the Extended Longitudinal Survey of Immigrants to Canada (LSIC-IMDB), this article investigates the association between early adverse labor market experiences in the host country and immigrants’ long-term earnings. We use Growth Curve Modeling (GCM) to estimate how months of joblessness, part-time status, and occupational mismatch during the first four years in Canada relate to immigrant men’s and women’s earnings trajectories over the following 10 years. Part-time employment, we find, is negatively associated with long-term earnings trajectories for both male and female immigrants, and male immigrants who are occupationally mismatched in the medium term also face a long-term wage penalty. Months of joblessness early on, however, is associated with relatively less wage disadvantage in later years. Since immigrants’ early difficulties are associated with long-term economic scarring, it is imperative to introduce early interventions to promote rapid assimilation.

Is Labor Market Mismatch a Big Deal in Japan?

This paper estimates Japanese labor market mismatch between 2000 and 2019 by using the method of Sahin et al. (“Mismatch Unemployment.” The American Economic Review 104 (11): 3529–64, 2014). We quantify contract-type (regular or non-regular), employment-type (full or part-time), and occupational mismatch and their respective contributions to changes in unemployment. All three types of mismatch show a countercyclical pattern, sharply increasing during the global financial crisis (GFC), but slowly declining during the recovery. Contract-type and occupational mismatch accounted for a significant portion of the rise in the unemployment rate during the GFC, each accounting for around 30 and 20–40 percent, respectively. Employment-type mismatch, on the other hand, accounted for much less–at around 15 perecent of the rise in unemployment for the same period.

Occupational Skill Mismatch: Differences by Gender and Cohort

The authors deploy a measure of occupational mismatch based on the discrepancy between the portfolio of skills required by an occupation and the array of abilities possessed by the worker for learning those skills. Using data from the Occupational Information Network (O*NET) and the 1979 and 1997 National Longitudinal Survey of Youth (NLSY79 and NLSY97), they report distinct gender differences in match quality and changes in match quality over the course of careers. They also show that a substantial portion of the gender wage gap stems from match quality differences among the college educated. College-educated females show a significantly greater likelihood of mismatch than do males. Moreover, individuals with children and those in more flexible occupations tend to experience a larger degree of mismatch. Cohort effects are also evident in the data: College-educated males of the younger cohort (NLSY97) are worse off in terms of match quality compared to the older cohort (NLSY79), even as the younger cohort of women is doing better on average.