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

Author

Listed:
  • Bąk Iwona
  • Wawrzyniak Katarzyna

    (Department of Application of Mathematics in Economics, Faculty of Economics, West Pomeranian University of Technology, Szczecin, Janickiego 31, 71-101 Szczecin)

  • Sobolewski Antoni

    (Stowarzyszenie Czas Przestrzeń Tożsamość, Lwowska 3/1, 71-027Szczecin)

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.

Suggested Citation

  • Bąk Iwona & Wawrzyniak Katarzyna & Sobolewski Antoni, 2020. "Classification of District Employment Agencies in Terms of Employment and Cost-Effectiveness Using Regression Trees," Folia Oeconomica Stetinensia, Sciendo, vol. 20(2), pages 20-35, December.
    • Handle: RePEc:vrs:foeste:v:20:y:2020:i:2:p:20-35:n:5
    DOI: 10.2478/foli-2020-0033
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    Keywords

    employment efficiency; cost-effectiveness; regression trees; District Employment Agencies;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy

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