Job Transitions in a Time of Automation and Labor Market Crises

by   Nikolas Dawson, et al.

Job security can never be taken for granted, especially in times of rapid, widespread and unexpected social and economic change. These changes can force workers to transition to new jobs. This may be because technologies emerge or production is moved abroad. Perhaps it is a global crisis, such as COVID-19, which shutters industries and displaces labor en masse. Regardless of the impetus, people are faced with the challenge of moving between jobs to find new work. Successful transitions typically occur when workers leverage their existing skills in the new occupation. Here, we propose a novel method to measure the similarity between occupations using their underlying skills. We then build a recommender system for identifying optimal transition pathways between occupations using job advertisements (ads) data and a longitudinal household survey. Our results show that not only we can accurately predict occupational transitions (Accuracy = 76 difficulties of moving between jobs (it is easier to move in one direction than the other). We also build an early warning indicator for new technology adoption (showcasing Artificial Intelligence), a major driver of rising job transitions. By using real-time data, our systems can respond to labor demand shifts as they occur (such as those caused by COVID-19), and can be leveraged by policy-makers, educators, and jobseekers who are forced to confront the often distressing challenges of having to find new jobs.


Studying the UK Job Market During the COVID-19 Crisis with Online Job Ads

The COVID-19 global pandemic and the lockdown policies enacted to mitiga...

Low-skilled Occupations Face the Highest Re-skilling Pressure

While substantial scholarship has focused on estimating the susceptibili...

Longitudinal Complex Dynamics of Labour Markets Reveal Increasing Polarisation

In this paper we conduct a longitudinal analysis of the structure of lab...

Does it Pay Off to Learn a New Skill? Revealing the Economic Benefits of Cross-Skilling

This work examines the economic benefits of learning a new skill from a ...

Enhancing the Demand for Labour survey by including skills from online job advertisements using model-assisted calibration

In the article we describe an enhancement to the Demand for Labour (DL) ...

Measuring and Visualizing Place-Based Space-Time Job Accessibility

Place-based accessibility measures, such as the gravity-based model, are...

An Extensive Analytical Approach on Human Resources using Random Forest Algorithm

The current job survey shows that most software employees are planning t...