scholarly journals The Application of Statistical Methods to Identify Factors Determining Employment Effectiveness in District Labour Offices in Poland

2019 ◽  
Vol 4 (343) ◽  
pp. 235-255 ◽  
Author(s):  
Iwona Bąk ◽  
Katarzyna Wawrzyniak ◽  
Maciej Oesterreich
Keyword(s):  
Regression Analysis ◽  
Labour Market ◽  
Statistical Methods ◽  
Market Institutions ◽  
Employment Services ◽  
Correlation And Regression Analysis ◽  
Factors Influencing ◽  
State Employment ◽  
Effectiveness Index ◽  
The Unemployed

In Poland, institutions that perform public tasks in the field of the labour market are state employment services, including District Labour Offices (PUPs). They try to restore the unemployed to the open labour market using active forms of their activation. The activities of PUPs in the field of customer activation are subject to annual evaluation. According to the “Act on Employment Promotion and on Labour Market Institutions”, four indicators were selected for the evaluation of the functioning of labour offices in 2015–2017. Among them, the employment effectiveness index is very important, as its level allows us to assess to what extent active forms of activation of the unemployed implemented by PUPs contribute to the return of the unemployed to employment. This assessment is so important that in Poland as well as in other countries research has been conducted on both active forms of activation of the unemployed and employment policies. The aim of the research whose results are presented in the article was to identify factors influencing the employment effectiveness index achieved by District Labour Offices (PUPs) operating in Poland in 2016. Selected statistical methods were used, including correlation and regression analysis as well as multidimensional correspondence analysis. It turned out that the methods applied did not make it possible to unambiguously identify factors which had significantly affected the employment effectiveness index calculated on the basis of all forms of activation. It may turn out that clearer relations could be identified if this indicator was considered separately for particular forms of activation.

A Study about Factors Influencing the University Performance

2013 ◽  
Vol 64 (2) ◽  
Author(s):  
Rosman Md. Yusoff ◽  
Faisal Khan ◽  
Asad Mubeen ◽  
Kamran Azam
Keyword(s):  
Regression Analysis ◽  
Empirical Relationship ◽  
Decision Makers ◽  
High Tech ◽  
Data Correlation ◽  
Correlation And Regression Analysis ◽  
Factors Influencing ◽  
University Performance ◽  
The University ◽  
The Relationship

The purpose of this study is to find out the empirical relationship and influence of Research Environment, Integration of the university with Industry, High-tech Employment and Professional & Managerial Development on the University Performance.A Questionnaire has been used to collect the data. Correlation and Regression analysis were used to determine the relationship and influence of identified dimensions over the University Performance.The findings of the study show that the identified dimensions significantly relate and influence the University Performance. This study would be helpful for the university administration while making policies to upgrade its performance. Less work has been done in Pakistan for the development of universities. This study distinctively identifies and represents the variables and their influence over the university performance. The findings increase the value of the study as it would help the decision makers at the universities to think ‘out of the box’.

Long-term unemployed in Poland during the COVID-19 pandemic

2021 ◽  
Vol 36 (3) ◽  
pp. 17-34
Author(s):  
Ewa Flaszyńska
Keyword(s):  
Labour Market ◽  
Social Services ◽  
Public Employment ◽  
Ability To Work ◽  
Employment Services ◽  
Unemployed People ◽  
The Public ◽  
High Level ◽  
The Unemployed

The COVID-19 pandemic has not significantly affected the increase in unemployment, including the change in the structure of long-term unemployment. Long-term unemployment increases with some delay after the recession. This article analyses the changes in the situation of long-term unemployed people in Poland before and during the COVID-2019 pandemic, presents actions taken at that time by employment and social services, and presents recommendations for the future, considering information collected from employees of poviat labour offices. In Poland, the reasons for the persistence of a relatively high level of long-term unemployment in general may include the following factors: registration in labour offices of people who, mainly for health reasons, are not ready to participate in processes of restoring the ability to work, a limited amount of funds allocated to activation of the unemployed activities and, finally, the lack of mechanisms rewarding the public employment services (PES) for bringing the long-term unemployed back to the labour market.

scholarly journals Models of unionism and unemployment

2011 ◽  
Vol 17 (2) ◽  
pp. 141-152 ◽  
Author(s):  
Daniele Checchi ◽  
Luca Nunziata
Keyword(s):  
Labour Market ◽  
Simultaneous Determination ◽  
Empirical Analysis ◽  
Union Density ◽  
Single Equation ◽  
Income Support ◽  
Market Institutions ◽  
The Unemployed ◽  
The Relationship

We investigate the problem of simultaneous determination of labour market institutions and outcomes in single equation multi-country estimations by presenting an empirical analysis of unemployment and union density in 20 OECD countries. When explicitly modelling potential endogeneity and heterogeneity, our results suggest that unions contribute to explaining unemployment in different ways than previously thought. In addition, the relationship between unemployment and union density is heterogeneous across countries, depending on the way in which income support for the unemployed is organized.

scholarly journals Determinants of Customer Satisfaction of Public Banks in Nepal

2019 ◽  
Vol 3 (11) ◽  
pp. 1-5
Keyword(s):  
Regression Analysis ◽  
Customer Satisfaction ◽  
Research Design ◽  
Demographic Variables ◽  
Education Level ◽  
Statistical Tools ◽  
Correlation And Regression Analysis ◽  
Factors Influencing ◽  
Analytical Research ◽  
Public Banks

The study aims to analyze the factors influencing customer satisfaction in public bank of Nepal. The customers of public banks in Nepal are the population of this study. The 150 respondents have been as sample and analytical research design has been adopted in the study. The statistical tools such as mean, correlation and regression analysis have been used to analyze the data using SPSS – 20 version software. The research paper concluded that banks should focus more on increasing tangibles, responsiveness and assurance. The demographic variables age, gender, income level and education level do not have significant differences among the responses of participants.

scholarly journals Motivations for attracting customers and their intention to participate in tourism events in Ho Chi Minh City

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Trinh Thuy Anh ◽  
Tran Kiem Viet Thang
Keyword(s):  
Regression Analysis ◽  
Quantitative Method ◽  
Great Influence ◽  
Customer Engagement ◽  
Ho Chi Minh City ◽  
Factors Affecting ◽  
Correlation And Regression Analysis ◽  
Factors Influencing ◽  
Intention To Participate ◽  
The Impact

The study examines the impact of factors influencing customers’ intention to attend a tourism event, by considering the motivation to attract customers to such an event. The authors collected 230 interview samples from different subjects, then conducted a quantitative method through factor, correlation, and regression analysis. The results show that the motivation to attract customers to tourism events has a great influence on their participating intention. In particular, factors affecting the motivation to take part in the event include influence group, communications, convenience, and content. The analysis results give several suggestions for event organizers to be able to gain more customer engagement.

scholarly journals Econometric Evaluation of Influential Factors to Increasing Labor Efficiency in Textile Enterprises

Webology ◽  
2021 ◽  
Vol 18 (SI02) ◽  
pp. 125-139
Author(s):  
Jamshid Sh. Tukhtabaev ◽  
Barno R. Tillaeva ◽  
Barno S. Razakova ◽  
Gulmira N. Ismagulova ◽  
Islom A. Achilov
Keyword(s):  
Regression Analysis ◽  
Labor Productivity ◽  
Influential Factors ◽  
Correlation And Regression Analysis ◽  
Labor Efficiency ◽  
Factors Influencing

This article analyzes the content of the concept of labor productivity in textile enterprises, the factors influencing its increase, using the methods of "correlation" and "regression" analysis, as well as the forecast indicators of labor productivity.

scholarly journals KLASYFIKACJA ŚRODKÓW PRAWNYCH PRZECIWDZIAŁANIA BEZROBOCIU – WYBRANE ZAGADNIENIA

2016 ◽  
Vol 12 (2) ◽  
pp. 127
Author(s):  
Ewa Staszewska
Keyword(s):  
Labour Market ◽  
Present Article ◽  
Legal Framework ◽  
The State ◽  
Market Institutions ◽  
Labour Law ◽  
Labour Market Institutions ◽  
The Unemployed ◽  
New Jobs

CLASSIFICATION OF LEGAL MEASURES TO COUNTERACT UNEMPLOYMENT: SELECTED ASPECTSSummary In order to effectively counteract unemployment the state needs to adopt and pursue an appropriate policy. The law is obviously one of the instruments which the state can use to curb unemployment. In particular, labour law regulations serve as an institutional and legal framework used by the state to achieve its goals within the area of fighting unemployment. The present article focuses on the classification of legal measures of counteracting unemployment as defined by the Polish Act of 20th April 2004 on the Promotion of Employment and Labour Market Institutions. The author defines two areas of fighting unemployment. The first area comprises measures taken by the state to assist the unemployed in finding new jobs and help them to adapt to the requirements of the labour market. The second area includes the state’s actions to create new jobs and the occupational activation of the unemployed. The author emphasises the fact that certain measures for counteracting unemployment are addressed specifically to groups whose social and demographic status puts them at greater risk of unemployment.

scholarly journals MODELS OF COST BEHAVIOUR: DETERMINATION OF FUNCTION OF METALLURGICAL PRODUCTION COSTS

2018 ◽  
pp. 270-277
Author(s):  
Alona Khmeliuk ◽  
Vasyl Halahanov
Keyword(s):  
Regression Analysis ◽  
Metallurgical Industry ◽  
Production Costs ◽  
Cost Calculation ◽  
Metallurgical Production ◽  
Correlation And Regression Analysis ◽  
Factors Influencing ◽  
Cost Behaviour ◽  
The Cost ◽  
Response Indicators

Introduction. Peculiarities of cost behaviour and specificity of their modelling in the production of metallurgical products are considered. It is established that the definition of the volume of costs and cost of metallurgical products is regulated by P (C) BO 16 "Costs" and has sectoral features that involve the application of various methods of accounting for costs and calculating the cost of production. The main external and internal factors influencing the behaviour of expenses are determined. Effective methods for study of the dynamics of expenses at the enterprises of the metallurgical industry are offered. It has been established the following factors: business functions, investigated object of cost calculation and choice of method of cost calculation influence the behaviour of expenses. The function of costs of production of metallurgical products with the help of means of economic and mathematical modelling of correlation and regression analysis is constructed. The use of such cost response indicators as factors of comparison of seasonal behaviour costs and business activity of metallurgical production output has been proved. The prospects of application of the obtained econometric model in the practical economic activity of the enterprise for making effective management decisions both in the short-term and long-term perspective are determined. Purpose. The article aims to highlight the peculiarities of formation of the accounting information about expenses at the enterprises of the metallurgical industry; to highlight the factors affecting the behaviour of costs; to investigate the behaviour of the expenses of the enterprise of metallurgical products and to develop the economic and mathematical model of total expenses; present the stages of a comprehensive study of cost behaviour. Method (methodology). Method of system analysis, methods of causal analysis, method of correlation and regression analysis, table and graphical methods, dynamic series method (chain change coefficients) have been used in this research. Results. Features of cost formation of metallurgical production have been highlighted. The factors influencing the behaviour of expenses taking into account the seasonal component have been presented. The cost function has been developed and complemented by its cost response indicators for the purpose of integrated assessment of cost behaviour and the adoption of effective managerial decisions.

Fundamentals of Biomedical Statistics

2020 ◽  
Author(s):  
Ivana Katnic ◽  
Marija Orlandic
Keyword(s):  
Regression Analysis ◽  
Statistical Inference ◽  
Statistical Methods ◽  
Biomedical Research ◽  
Descriptive Statistics ◽  
Biomedical Data ◽  
Correlation And Regression Analysis ◽  
Short Overview ◽  
Biomedical Statistics

This chapter is written in order to give students general summary of basic statistical methods, techniques, indicators and procedures. However emphasis is on the application of those that are frequently used in biomedical research. Statistics is science about data, but data that represent numbers with their context. Therefore, in this chapter the topics of population, samples, types of variables, descriptive statistics and statistical inference will be briefly covered. At the end, correlation and regression analysis will be briefly presented. The aim of this chapter is to give a very short overview of the main principles; techniques and procedures that should be used in order to obtain and understand analyzed biomedical data.

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