274
Views
4
CrossRef citations to date
0
Altmetric
Research Articles

Study of the unemployment problem by mathematical modeling: Predictions and controls

, &
Pages 301-313 | Received 24 Dec 2020, Accepted 13 May 2021, Published online: 06 Jul 2021
 

ABSTRACT

One problem that has become a concern for governments around the world is unemployment. We illustrate the problem using a nonlinear system of differential equations considering three dynamical variables: the number of unemployed people, the number of employees and the number of available vacancies. We find that the system possesses one positive equilibrium point which is locally and globally stable under certain conditions. We identify the employment rate and the rate of creating new vacancies that is required to reach the unemployment rate of 7% in agreement with the efforts of governments to attain low unemployment levels.keywords: Unemployment; Stability; Routh Hurwitz; Lyapunov function; Numerical simulation

Disclosure of potential conflicts of interest

All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or nonfinancial interest in the subject matter or materials discussed in this manuscript.

Research involving human participants and/or animals

This article does not contain any studies with human participants or animals performed by any of the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,078.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.