Leslie matrix matching approach in labor market studies

Abstract

This article aims to identify the possibilities of combining existing approaches in ecology with the challenges of the labor market in the current era of digitalization and to identify what qualitative changes the labor market may undergo under the impact of digital knowledge acquisition. This article contains original ideas as it proposes a methodology framework that combines the long-known population prediction model in ecology (the Leslie matrix) with empiric economic methods for labor studies. The proposed framework, which includes a two-stage empirical approach and employs the Leslie matrix, can help determine how digital knowledge can affect the quality of structural changes occurring in labor. The proposed approach is useful for policymakers for various purposes, such as predicting structural changes in a labor market, assessing the effectiveness of state support programs, and for the private sector, big corporations, and state administration bodies to predict the possibilities of changes in job structure resulting from digital knowledge acquisition.

Keywords

• Labor
• Leslie matrix
• digital knowledge
• structural changes
• Economics
• Education