Unemployment rate

Labour market ◽  
2017 ◽  
Keyword(s):  
Unemployment Rate

Soft Skills among Students: A Case Study of UiTM Cawangan Kelantan

2019 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Muhammad Faizal Samat ◽  
Norazlan Annual ◽  
Raznee Atisya Md Rashidi
Keyword(s):  
Problem Solving ◽  
Unemployment Rate ◽  
Significant Influence ◽  
Education System ◽  
Communication Skill ◽  
Soft Skills ◽  
Team Building ◽  
Leadership Skill ◽  
Quality In Education

This article contributes to ongoing debates about soft skills among students. In 2017, the unemployment rate in Malaysia was at 3.42 percent as compared to 2.85 percent in 2014. Education system must aim towards employability and ensure quality in education to reduce the percentage of unemployment. Thus, this study aims to investigate the development of soft skills among students through co-curriculum activities in UiTM Cawangan Kelantan. The sample were 113 students from UiTM Cawangan Kelantan. Questionnaires adapted from previous research to measure the communication skill, problem solving skill, team building skill, leadership skill and soft development of soft skills among students through co-curriculum activities. SEM-PLS 3.0 were employed in this study. The findings revealed only team building skill has significant influence on developments of soft skills among students through co-curriculum activities. However, the study indicates that communication skill, problem solving skill and leadership skill are not significant towards development of soft skills among students through cocurriculum activities.

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.

ANALYSIS OF UNEMPLOYMENT USING FOUR-FACTOR MODEL IN EUROPEAN UNION COUNTRIES

2020 ◽  
Author(s):  
Ľubica Hurbánková ◽  
Keyword(s):  
European Union ◽  
Unemployment Rate ◽  
Economic Activity ◽  
Total Population ◽  
Factor Model ◽  
Economic Statistics ◽  
European Union Countries ◽  
Working Age ◽  
Working Age Population ◽  
Microsoft Office

The paper deals with the analysis of unemployment in European Union countries on the basis of data of the unemployment rate and the number of unemployed. The data are obtained from the Eurostat website. The aim of the paper is to find out how the number of unemployed in individual EU countries changed in 2018 compared to 2009, in which country the number of unemployed increased the most, in which the least. Appropriate tools of economic statistics are used for the analysis. Based on a four-factor model of the analysis of the number of unemployed, we find out how this indicator has changed depending on the change in the unemployment rate, the economic activity rate, the share of the working age population in the total population, and the total population. The application of statistical method is implemented through the programme Microsoft Office Excel.

Territorial Features of Application of Precision Farming Technologies

2020 ◽  
pp. 59-66
Author(s):  
E.A. Skvortsov ◽  
◽  
A.S. Gusev ◽  
Keyword(s):  
Regional Development ◽  
Unemployment Rate ◽  
Negative Correlation ◽  
Agricultural Production ◽  
Agricultural Development ◽  
Precision Farming ◽  
Production Index ◽  
Scientific Problem ◽  
Development Indicators ◽  
Production Growth

The article discusses the issues of territorial patterns in the implementation of precision farming technologies, which are insufficiently studied and constitute a significant scientific problem. The purpose of the study is to identify the territorial patterns of the introduction of precision farming technologies in conjunction with the indicators of agricultural development in the regions. The number of applied precision farming technologies was clarified, 37 regions took part in the study, 24 of them provided information on the application of these technologies. The results of correlation of regional development indicators (12 indicators in three blocks) and the amount of equipment with precision farming elements are presented. The greatest positive correlation is observed between the introduction of precision farming technologies and the agricultural production index at comparable prices (0.51) and the level of subsidies (0.37). The greatest negative correlation is observed between the introduction of these technologies and the change in the registered unemployment rate (-0.3). Based on the results obtained, it can be assumed that in regions with high values of agricultural production growth and subsidies, precision farming technologies will be most intensively introduced.

Home Equity Lines of Credit and the Unemployment Rate – What Does the Evidence Say?

2012 ◽  
Author(s):  
John Phillip Lajaunie ◽  
Norbert J. Michel ◽  
Shari Lawrence ◽  
Ronnie Fanguy
Keyword(s):  
Unemployment Rate ◽  
Home Equity ◽  
Lines Of Credit

A Hybrid Model for European Unemployment Rate Forecasting and Its Asymptotic Behavior

2019 ◽  
Author(s):  
Tanujit Chakraborty ◽  
Ashis Kumar Chakraborty ◽  
Sayak Banerjee ◽  
Shramana Bhattacharya
Keyword(s):  
Asymptotic Behavior ◽  
Hybrid Model ◽  
Unemployment Rate

The Nexus Between Johannesburg Stock Exchange and the United States Unemployment Rate Announcement: An Impulse Response Analysis

2018 ◽  
Vol 10 (3(J)) ◽  
pp. 160-168
Author(s):  
Misheck Mutize ◽  
Victor Virimai Mugobo
Keyword(s):  
United States ◽  
South African ◽  
Impulse Response ◽  
Unemployment Rate ◽  
Stock Prices ◽  
Stock Exchange ◽  
The United States ◽  
Response Analysis ◽  
Johannesburg Stock Exchange ◽  
The Us

The study explores the relationship between the unemployment rate in the United States and South Africa’s stock prices from the beginning of 2013 to the last day 2017. The objective of this paper is to examine the impact of the US unemployment rate announcement on the South African financial market. Results of Impulse Response analysis show that there is a very minimal impact from the US unemployment announcement to South Africa’s stock prices which disappears within two days of the announcement. In addition, the Johannesburg stock exchange index marginally responds to own shocks, which marginally fades away within two days. These findings imply that the changes in the US employment policies have a direct ripple effect on the South African macroeconomic environment, its investing public sentiments and corporate confidence on the future prospects of businesses.

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