European unemployment nonlinear dynamics over the business cycles: Markov switching approach

Oliskevych, Marianna; Lukianenko, Iryna

doi:10.1504/gber.2020.10029475

Cited by 3 publications

(2 citation statements)

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“…Also, the reactions of labor market indicators to changes in these factors are different in each country. The situation of the population concerning education, demographics, changes in social norms, and preferences for participation in the labor market are important factors, but in the long term, according to the author [12].…”

Section: Literature Reviewmentioning

confidence: 99%

Study of Post-COVID-19 Employability in Peru through a Dynamic Model, Between 2020 and 2025

Arias-Marreros¹,

Dionisio²,

Tuanama³

et al. 2021

IJACSA

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The research work is focused on the sector of the population that will have a job, taking into account that the pandemic was a problem that resulted in many people losing their jobs due to the economic crisis that affected all countries because the first half of the year 2020 the equivalent of 400 million full-time jobs were lost and there was a 14% drop in working hours worldwide, also in Lima 1.2 million people were left without work. For this reason, a dynamic analysis was developed for the projection of post-COVID19 employability in Peru from 2020 to 2025 to obtain an approximate knowledge of the population's labor outlook, implementing system dynamics as a methodology since it includes this recommendation, given that any model built through its application will be based on the opinion of those involved in the system to be represented. In this work, system dynamics is presented as a very useful methodology for the analysis of complex problems, developing the Forrester and causal diagram with the help of Vensim software. As a result, the approximate number of jobs that will be available was visualized, and it was observed that the future of employability will be at risk, which is why a good government strategy is necessary so that this does not happen since people need to satisfy their professional, economic and development needs.

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Section: Literature Reviewmentioning

confidence: 99%

Study of Post-COVID-19 Employability in Peru through a Dynamic Model, Between 2020 and 2025

Arias-Marreros¹,

Dionisio²,

Tuanama³

et al. 2021

IJACSA

View full text Add to dashboard Cite

show abstract

“…One of the advantages of this framework is the highly flexible nature of the test, as it may find evidence of only a single regime switch over time in which the economy shocks from one natural rate of unemployment to another, or it may well describe an economy which is continuously switching between two distinct unemployment regimes, each with its own natural rate of unemployment. In the last decade, researchers have started using this test to look for regimeswitching stationarity in unemployment rates, but these studies have all been focused on a small number of countries (Oliskevych and Lukianenko (2020)), or even just a single one (Bayat et. al (2020), Cevik and Dibooglu (2013)).…”

Section: Introductionmentioning

confidence: 99%

The Structure of OECD Unemployment

2021

JABE

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In this paper, I apply a set of unit root tests on 31 OECD countries in order to uncover evidence on the best way to model their unemployment rates. There are three primary classes of theories into how the unemployment rate evolves (natural rate theories, hysteresis theories, and structural theories) and they each have very distinct statistical properties related to unemployment persistence. In this paper, I use a set of Markov-Switching Augmented Dickey Fuller tests to find evidence that 20 of the 31 countries could be better modeled by structuralist theories of unemployment than by hysteresis theories or natural rate of unemployment theories. These results provide comparable evidence supporting structural theories of unemployment to previous papers that have used different sets of unit root testing techniques.

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Management Problems of Innovative Technologies

Стасишин

Оліскевич

Козицький

2023

journal

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The article focused on the innovative technologies management problems investigation. The endogenous distribution of economic factors for research and development sectors have been evaluated in order to study the accumulation process of innovation and technologies. The research methodology is based on the system dynamics approach that gives the advantage to delve in dynamic problems for complex economic and social issues taking into account information and material delays as well as feedback and endogenous causality. The computer simulation model has been built to describe the dynamic of innovative technologies and to perform the sensitivity analysis in order to investigate how change in different parameter of system affect the economic growth and its dynamic properties. The simulation results confirm that management policy decisions can change dramatically if parameters are influenced by unpredictable shocks but the behavior of technological growth does not depend on initial conditions of system if an effective management policy has been provided.

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European unemployment nonlinear dynamics over the business cycles: Markov switching approach

Cited by 3 publications

References 0 publications

Study of Post-COVID-19 Employability in Peru through a Dynamic Model, Between 2020 and 2025

Study of Post-COVID-19 Employability in Peru through a Dynamic Model, Between 2020 and 2025

The Structure of OECD Unemployment

Management Problems of Innovative Technologies

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