<abstract xmlns="http://www.w3.org/1999/xhtml"><bold>Research background:</bold> The efficiency of the functioning of District Employment Agencies is often assessed on the basis of the level of employment and cost-effectiveness indices. The values of these indices are influenced by various socio-economic factors, which were grouped into five areas in the paper: unemployment, demography, environment, entities and the human potential of District Employment Agencies (PUPs). The research was conducted in 340 District Employment Agencies in 2017.<bold>Purpose:</bold> The purpose of the study is to separate groups of District Employment Agencies with similar values of employment and cost-effectiveness indices, with the simultaneous identification of the level of factors that characterize the socio-economic situation and staff potential in each of the separated groups.<bold>Research methodology:</bold> One of the methods of a multidimensional statistical analysis – the regression trees method was used in the work.<bold>Results:</bold> The use of regression trees allowed the separation of groups of District Employment Agencies, which differed in terms of the level of employment and cost-effectiveness indices, and characterized these groups due to socio-economic factors and staffing potential.<bold>Novelty:</bold> The survey covers all District Employment Agencies in Poland and the obtained research results can be useful for labor market institutions to assess the efficiency of PUPs.</abstract>

Research background: The efficiency of the functioning of District Employment Agencies is often assessed on the basis of the level of employment and cost-effectiveness indices. The values of these indices are influenced by various socio-economic factors, which were grouped into five areas in the paper: unemployment, demography, environment, entities and the human potential of District Employment Agencies (PUPs). The research was conducted in 340 District Employment Agencies in 2017.Purpose: The purpose of the study is to separate groups of District Employment Agencies with similar values of employment and cost-effectiveness indices, with the simultaneous identification of the level of factors that characterize the socio-economic situation and staff potential in each of the separated groups.Research methodology: One of the methods of a multidimensional statistical analysis – the regression trees method was used in the work.Results: The use of regression trees allowed the separation of groups of District Employment Agencies, which differed in terms of the level of employment and cost-effectiveness indices, and characterized these groups due to socio-economic factors and staffing potential.Novelty: The survey covers all District Employment Agencies in Poland and the obtained research results can be useful for labor market institutions to assess the efficiency of PUPs.

Classification of District Employment Agencies in Terms of Employment and Cost-Effectiveness Using Regression Trees

Department of Application of Mathematics in Economics, Faculty of Economics

Folia Oeconomica Stetinensia

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Research background: The efficiency of the functioning of District Employment Agencies is often assessed on the basis of the level of employment and...

Classification of District Employment Agencies in Terms of Employment and Cost-Effectiveness Using Regression Trees

Online veröffentlicht: 29. Jan. 2021

Seitenbereich: 20 - 35

Eingereicht: 23. Okt. 2019

Akzeptiert: 09. Sept. 2020

DOI: https://doi.org/10.2478/foli-2020-0033

Schlüsselwörter
employment efficiency, cost-effectiveness, regression trees, District Employment Agencies

© 2020 Iwona Bąk et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Classification of District Employment Agencies in Terms of Employment and Cost-Effectiveness Using Regression Trees

Online veröffentlicht: 29. Jan. 2021

Seitenbereich: 20 - 35

Eingereicht: 23. Okt. 2019

Akzeptiert: 09. Sept. 2020

DOI: https://doi.org/10.2478/foli-2020-0033

Schlüsselwörteremployment efficiency, cost-effectiveness, regression trees, District Employment Agencies

© 2020 Iwona Bąk et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
employment efficiency, cost-effectiveness, regression trees, District Employment Agencies