scholarly journals Unemployment and COVID-19 Impact in Greece: A Vector Autoregression (VAR) Data Analysis

2021 ◽  
Vol 5 (1) ◽  
pp. 41
Author(s):  
Christos Katris
Keyword(s):  
Data Analysis ◽  
Response Function ◽  
Unemployment Rate ◽  
Vector Autoregression ◽  
Impulse Response Function ◽  
Youth Unemployment ◽  
The Other ◽  
Var Model ◽  
Unemployment Rates ◽  
The Impact

In this paper, the scope is to study whether and how the COVID-19 situation affected the unemployment rate in Greece. To achieve this, a vector autoregression (VAR) model is employed and data analysis is carried out. Another interesting question is whether the situation affected more heavily female and the youth unemployment (under 25 years old) compared to the overall unemployment. To predict the future impact of COVID-19 on these variables, we used the Impulse Response function. Furthermore, there is taking place a comparison of the impact of the pandemic with the other European countries for overall, female, and youth unemployment rates. Finally, the forecasting ability of such a model is compared with ARIMA and ANN univariate models.

scholarly journals Analysis of the Impact Fiscal Fundamentals on Unemployment in Nigeria. Imperatives for Covid 19, Era

2021 ◽  
Vol 04 (05) ◽  
Author(s):  
Patrick Ologbenla ◽  
Keyword(s):  
Unemployment Rate ◽  
Government Expenditure ◽  
Research Work ◽  
Youth Unemployment ◽  
Government Revenue ◽  
Increase Productivity ◽  
Employment Generation ◽  
The Impact ◽  
The Relationship

The study examined the impact of fiscal fundamental on unemployment rate in Nigeria from 1980 to 2020 focusing on COVID-19 imperatives. The research work embraces OLS estimating techniques to estimate the relationship between the variables. The result of the analysis revealed that government expenditure had positive and significant effect on the rate of unemployment. Also government revenue had a positive but insignificant impact on unemployment during. The implication of these findings for COVID-19 is that the narrative which is obtained from the analysis needs to be changed. Government revenue should be made to have significant impact on unemployment. The pandemic has led to a lot of job lost and the unemployment rate in Nigeria has risen by about 55% peaking at 36% youth unemployment rate as at last quarter of 2020. The study therefore, recommends that government should refocus expenditure and revenue in the country in such a way it will target development of infrastructural facilities so as to increase productivity and in turn facilitate employment generation.

scholarly journals The Output Gap and Youth Unemployment: An Analysis Based on Okun’s Law

Economies ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 108
Author(s):  
Mindaugas Butkus ◽  
Janina Seputiene
Keyword(s):  
Unemployment Rate ◽  
Youth Unemployment ◽  
Okun’S Law ◽  
Equilibrium Unemployment ◽  
Age And Gender ◽  
Okun's Law ◽  
And Gender ◽  
The Impact ◽  
Gender Specific ◽  
Potential Level

The impact of economic fluctuations on the total unemployment rate is widely studied, however, with respect to age- and gender-specific unemployment, this relationship is not so well examined. We apply the gap version of Okun’s law, aiming to estimate youth unemployment rate sensitivity to output deviations from its potential level. Additionally, we aim to compare whether men or women have a higher equilibrium unemployment rate when output is at the potential level. Contrary to most studies on age- and gender-specific Okun’s coefficients, which assume that the effect of output on unemployment is homogenous, we allow a different effect to occur, depending on the output gap’s sign (positive/negative). The focus of the analysis is on 28 EU countries over the period of 2000–2018. The model is estimated by least squares dummy variable estimator (LSDV), using Prais–Winsten standard errors. We did not find evidence that higher equilibrium unemployment rates are more typical for men or for women. The estimates clearly show the equilibrium level of youth unemployment to be well above that of total unemployment, and this conclusion holds for both genders. We assess greater youth unemployment sensitivity to negative output shock, rather than to positive output shock, but when we take confidence intervals into consideration, this conclusion becomes less obvious.

Does video games’ popularity affect unemployment rate? Evidence from macro-level analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Petr Parshakov ◽  
Sofiia Paklina ◽  
Dennis Coates ◽  
Aleksei Chadov
Keyword(s):  
Video Games ◽  
Unemployment Rate ◽  
Video Game ◽  
Leisure Activities ◽  
Leisure Activity ◽  
Youth Unemployment ◽  
Positive Influence ◽  
Data Set ◽  
Prize Money ◽  
Content Type

PurposeVideo games are considered as a leisure activity that makes being unemployed more attractive than before. In this study, the authors use eSports prizes as a proxy for the popularity of video games to analyze its influence on total and youth unemployment.Design/methodology/approachThe authors develop a theoretical model and empirically test it using the total prize money won by representatives of a country in a given season in eSports tournaments, via a panel regression model with the country-year as a unit of observation. The data set includes information about 191 countries between 2000 and 2015.FindingsThe authors’ results of regression analysis show a positive influence of the popularity of video games on the unemployment rate. In addition, the authors analyze this effect for countries with different levels of income and labor productivity. The authors found a significant inverse relationship between income level and the effect of the popularity of video games on total and youth unemployment.Originality/valueWhile previous studies rely mostly on self-reported data, the authors suggest a new approach to measure video game popularity. This paper contributes to existing knowledge with empirical evidence on how leisure activities affect unemployment at the country level.

The Deterioration of the Spanish Youth Labour Market (1985–2015): An Interdisciplinary Case Study

Young ◽  
2020 ◽  
Vol 28 (5) ◽  
pp. 544-563 ◽  
Author(s):  
Miquel Úbeda ◽  
M. Àngels Cabasés ◽  
Malena Sabaté ◽  
Tanja Strecker
Keyword(s):  
Labour Market ◽  
Unemployment Rate ◽  
Job Insecurity ◽  
Average Length ◽  
Youth Unemployment ◽  
Working Hours ◽  
Systematic Analysis ◽  
Youth Labour Market ◽  
Deterioration Process ◽  
Youth Labour

The Spanish labour market is notorious for its high unemployment rate and its exceptionally high youth unemployment rate, job insecurity, impermanence and underemployment. This article presents a systematic analysis of the Spanish labour market’s deterioration process, in particular focusing on the youth labour market. It combines historic reviews with statistical analyses of data from official sources, like the Continuous Sample of Working Lives (CSWL), through different econometric models. The procedure consists of three steps: (a) first, a historical estimation to facilitate the systematic selection of the statistics, in this case contracts taken from a large sample of the Spanish workforce over the period 1985–2015; (b) econometric modelling of relevant indicators, in this case the average annual income, daily working hours and average length of contract; and (c) an analysis of the identified trends and conjuncture regarding precarious work and gender inequality.

scholarly journals Does Corruption Matter for Unemployment in SADC Countries?

2018 ◽  
Vol 11 (2) ◽  
pp. 65-92
Author(s):  
Dopé M. Adjor ◽  
Léleng Kebalo
Keyword(s):  
Unemployment Rate ◽  
Empirical Investigation ◽  
Youth Unemployment ◽  
Decision Makers ◽  
Development Programs ◽  
Vector Autoregressive Model ◽  
Vector Autoregressive ◽  
Income Inequalities ◽  
Market Needs ◽  
Main Factor

AbstractIs corruption, the main source of unemployment in the SADC countries? Do the effects of corruption outweigh those of income inequalities, human capital and government revenues in explaining the unemployment rate within the SADC area? Through these questions, the objective of our paper is to propose targeted policies that can enable decision-makers to reduce the unemployment rate within the SADC area. Through a panel vector autoregressive model, our empirical investigation on a sample of nine (09) SADC countries reveals that the education level and income inequalities contribute the most to explain the total unemployment rate. However, for the youth unemployment, corruption is the main factor followed by the level of education. To reduce total unemployment in the area, SADC countries need to reduce income inequalities and the mismatch between education and the labour market needs and/or countries’ development programs. For the youth unemployment, the reduction of corruption to all its forms should be the priority of political and economic decisionmakers.

Combining official and Google Trends data to forecast the Italian youth unemployment rate

2018 ◽  
Vol 130 ◽  
pp. 114-122 ◽  
Author(s):  
Alessia Naccarato ◽  
Stefano Falorsi ◽  
Silvia Loriga ◽  
Andrea Pierini
Keyword(s):  
Unemployment Rate ◽  
Youth Unemployment ◽  
Google Trends

scholarly journals Sytuacja na rynku pracy na obszarach wiejskich państw Unii Europejskiej

2017 ◽  
Vol 17(32) (2) ◽  
pp. 176-185
Author(s):  
Luiza Ossowska ◽  
Dorota Janiszewska
Keyword(s):  
Cluster Analysis ◽  
Unemployment Rate ◽  
Rural Areas ◽  
Labour Productivity ◽  
Youth Unemployment ◽  
Age Group ◽  
Diagnostic Features ◽  
Active Population ◽  
European Union Countries ◽  
Group 15

The main objective of this article is to discuss the diversity of European Union countries based on selected indicators of labour market in rural areas. Presented data come from 2015 (in comparison with 2013). The analysis was conducted using the cluster analysis. The following diagnostic features were used for the analysis: employment persons as a share of total 20-64 y. o. population, unemployment rate for the age group 15-74 in total active population, youth unemployment rate for the age group 15-24 in total active population and labour productivity. As a result of the cluster analysis examined regions were divided into five groups.

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