scholarly journals The impact of COVID ‐19 on unemployment rate: An intelligent based unemployment rate prediction in selected countries of Europe

2021 ◽  
Author(s):  
Muneeb Ahmad ◽  
Yousaf Ali Khan ◽  
Chonghui Jiang ◽  
Syed Jawad Haider Kazmi ◽  
Syed Zaheer Abbas
Keyword(s):  
Unemployment Rate ◽  
Rate Prediction ◽  
The Impact

Using distributed lag models to predict regional budget revenues

2020 ◽  
Vol 19 (6) ◽  
pp. 1154-1172
Author(s):  
Yu.V. Granitsa
Keyword(s):  
Unemployment Rate ◽  
Consumer Price Index ◽  
Mathematical Methods ◽  
Distributed Lag ◽  
Key Indicator ◽  
Distributed Lag Models ◽  
Regional Budget ◽  
The Impact ◽  
Financial Result

Subject. The article addresses projections of regional budget revenues, using distributed lag models. Objectives. The purpose is to review economic and statistical tools that are suitable for the analysis of relationship between the revenues of the regional budget system and regional macroeconomic predictors. Methods. The study draws on statistical, constructive, economic and mathematical methods of analysis. Results. In models with quantitative variables obtained under the Almon method, the significant predictors in the forecasting of regional budget revenues are determined mainly by the balanced financial result, the consumer price index, which characterizes inflation processes in the region, and the unemployment rate being the key indicator of the labor market. Models with quantitative variables obtained through the Koyck transformation are characterized by a wider range of predictors, the composition of which is determined by the peculiarities of economic situation in regions. The two-year forecast provides the average lag obtained during the evaluation of the models. The exception is the impact of unemployment rate, which is characterized as long-term. Conclusions. To generate forecasts of budget parameters, the results of both the Koyck method and the Almon method should be considered, though the former is more promising.

scholarly journals The impact of economic factors on the relationships between psychological contract breach and work outcomes: a meta-analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Thushel Jayaweera ◽  
Matthijs Bal ◽  
Katharina Chudzikowski ◽  
Simon de Jong
Keyword(s):  
Job Performance ◽  
Unemployment Rate ◽  
Psychological Contract ◽  
Inflation Rate ◽  
Meta Analysis ◽  
Psychological Contract Breach ◽  
Contract Breach ◽  
Content Type ◽  
Outcome Relationship ◽  
The Impact

PurposeThe purpose of this paper is to explore the macroeconomic factors that may moderate the psychological contract breach (PCB) and work outcome relationship.Design/methodology/approachThis study conducted a meta-analysis based on data from 134 studies.FindingsThe study revealed that the inflation rate and the unemployment rate of a country moderated the association among employee PCB, job performance and turnover.Research limitations/implicationsThe availability of more detailed macroeconomic data against the PCB and outcome relationship for other countries and studies examining the impact of micro-economic data for PCB and outcome relationship would provide a better understanding of the context.Practical implicationsThe authors believe that the results highlight the importance of the national economy since it impacts individual outcomes following a breach.Social implicationsEmployment policies to capture the impact of macroeconomic circumstances as discussed.Originality/valueOne of the valuable contributions made by this paper is that the authors capture the current accumulative knowledge regarding the breach and performance and breach and turnover relationship. Second, the study examines how the inflation rate and unemployment rate could moderate the association between PCB and job performance and turnover.

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 The Unemployment Puzzle of Corporate Taxation

2011 ◽  
Vol 39 (6) ◽  
pp. 743-769 ◽  
Author(s):  
Horst Feldmann
Keyword(s):  
Adverse Effects ◽  
Empirical Research ◽  
Unemployment Rate ◽  
Labor Demand ◽  
Corporate Taxation ◽  
Annual Data ◽  
Corporate Taxes ◽  
Industrial Countries ◽  
Growth Effects ◽  
The Impact

Using annual data on nineteen industrial countries for the period 1979–2005 and a large number of controls, this article is the first to empirically study the impact of corporate taxes on the unemployment rate. In contrast to previous empirical research on the labor demand, investment and growth effects of corporate taxation, which consistently finds adverse effects, the regression results suggest that higher corporate taxes may have a favorable impact, lowering the unemployment rate. The magnitude of the estimated effect is substantial. The results of this study are robust to both endogeneity and numerous variations in specification.

Market overreaction, firm-specific information and macroeconomic variables in US and Chinese markets during COVID-19

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ooi Kok Loang ◽  
Zamri Ahmad
Keyword(s):  
Unemployment Rate ◽  
Stock Return ◽  
Design Methodology ◽  
Specific Information ◽  
Content Type ◽  
Macroeconomic Variables ◽  
Real Gdp ◽  
Chinese Markets ◽  
The Impact ◽  
Loser Portfolio

PurposeThis study examines the impact of firm-specific information and macroeconomic variables on market overreaction of US and Chinese winner and loser portfolio before and during COVID-19.Design/methodology/approachThe firm-specific information includes firm size, volume, volatility, return of asset (ROA), return of equity (ROE), earning per share (EPS) and quick ratio while the macroeconomic variables are export rate, import rate, real GDP, nominal GDP, FDI, IPI and unemployment rate. Besides, one-third of the top performance stocks are categorized as winner portfolio while one-third of lowest performance stocks are categorized as loser portfolio. This study uses AECR to indicate stock return and measure market overreaction. GAECR is used to determine contrarian profit. The data range of pre-COVID-19 is from 1-Jan-2015 to 31-Dec-2019 while the period of COVID-19 is from 1-Jan-2020 to 31-Dec-2020.FindingsIn pre-COVID-19, firm-specific information (volatility, ROA, ROE and EPS) and macroeconomic variables are found to be correlated to stock return in US and Chinese portfolios except Chinese winner portfolio. Nonetheless, the impact of firm-specific information has vanished and macroeconomic variables are significant to stock return in COVID-19. It shows that investors rely on the economic indicators to trade in turbulent period due to emergence of COVID-19 as a disruption in market. Furthermore, US and Chinese portfolios are overreacted during COVID-19. Chinese loser portfolio has higher tendency of overreaction than US loser portfolio while US winner portfolio has higher tendency of overreaction than Chinese winner portfolio.Originality/valueThe results of this study assists academician, practitioners and investors on understanding and create awareness to the existence of market overreaction and the determinants that can cause the phenomenon.

scholarly journals Peningkatan Keuangan Keluarga Dalam Perspektif Maqashid Syari'ah (Studi Pada Driver Gojek dI Kota Palembang)

2020 ◽  
Vol 6 (2) ◽  
pp. 136-147
Author(s):  
Abdullah Sahroni ◽  
Maftukhatusolikhah Maftukhatusolikhah
Keyword(s):  
Unemployment Rate ◽  
Family Income ◽  
Field Research ◽  
Family Welfare ◽  
Basic Principles ◽  
Qualitative And Quantitative ◽  
Analysis Technique ◽  
Quantitative Descriptive ◽  
Motorcycle Taxi ◽  
The Impact

This research aims to discuss the increase in family income obtained by motorbike drivers in Palembang. The existence of a motorcycle taxi is one of the factors reducing the unemployment rate which will have an impact on increasing income and family welfare. Maqashid Shari'ah is used to see the impact of the phenomenon of increasing income on family welfare with five basic principles; hifz din, hifz nafs, hifz ‘aql, hifz mal and hifz nasab, with three levels of Daruriyyat, Hajiyyat and Tahsiniyyat. This research is a field research. This research is field research, the method used in this research was collaborative both qualitative and quantitative by distributed questionairre to respondents who became research's sample by some measurement cryterias with 5 assesment criteria and interview towards some informants to strenghten questionairre result. The technique of determining sample by using purposive sampling and analysis technique data questionairre by using quantitative descriptive and qualitative analysis with triangularltion approacment Magashid Suar'i. The result showed that there was an increasing income earned by the Gojek's drivers in Palembang city compare to other previous job before becoming a Gojek driver and also affecting family's prosperity

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 Institutional determinants of regional diversity of labor market in Poland

Equilibrium ◽  
2015 ◽  
Vol 10 (1) ◽  
pp. 129
Author(s):  
Beata Woźniak-Jęchorek
Keyword(s):  
Labor Market ◽  
Unemployment Rate ◽  
Gender Gap ◽  
Institutional Perspective ◽  
Regional Diversity ◽  
Institutional Determinants ◽  
The Difference ◽  
Employment Rates ◽  
And Gender ◽  
The Impact

The article focuses on regional diversity of the Polish Labor Market from institutional perspective. The Polish Labor Market is geographically diverse in terms of unemployment and employment rates, and also in terms of economic development. At the end of 2013 the difference between the lowest and the highest unemployment rate in the Polish regions was 12.1% (Wielkopolska located in the West Poland has unemployment rate of 9.6% and Warmia - Mazury in the East has unemployment of 21.7%). The question arises whether this difference comes from the structural or institutional sources. The paper describe the character of Polish Labor Market, whereas in the second part, it traces the impact of institutional variables such as real wage, Kaitz index and Gender gap on the regional unemployment rate in 2002–2012 in Poland.

scholarly journals Assessment of the impact of the employment roadmap on the unemployment rate of the Republic of Kazakhstan: synthetic control method

2021 ◽  
pp. 121-130
Author(s):  
T. S. Sokira ◽  
Z. T. Myshbayeva
Keyword(s):  
Unemployment Rate ◽  
Control Method ◽  
Action Plan ◽  
Control Group ◽  
Synthetic Control ◽  
Donor Pool ◽  
Synthetic Control Method ◽  
The Republic ◽  
The Impact ◽  
Weighted Combination

The purpose of the research is to assess the impact of the action plan of the Employment Roadmap on the unemployment rate in Kazakhstan.Methodology. Synthetic Control Method was used in this paper. The method, which compares one or more units exposed to the event and determines what would have happened if the unit had not been treated. In other words, this method creates a weighted combination of control states to create a single «synthetic» control group, in order to approach the counterfactual unit in Kazakhstan in the absence of a plan or Roadmap.The originality / value of the research based on the analysis, panel data from Kazakhstan and 13 donor pool countries for the period 2000-2019 were taken for modeling.Findings: As a result of the study, it was revealed that the unemployment rate would have been 2% higher in 2019 if Kazakhstan had not adopted an action plan in the form of an Employment Roadmap in 2009.

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