Public Employment Services (PES) are identified as important institutions in the process of improving the match between supply and demand in the labor market, which, despite their importance, still do not achieve the desired efficiency. The indicated problem is partly due to the lack of appropriate evaluation methods for the applied labor market policy instruments. This paper aims to verify the possibility of using the two-stage Data Envelopment Analysis (DEA) method in measuring the efficiency of public sector entities. The authors focused on 39 PES operating in Mazovia province, Poland in 2019. In the first stage, the model of technical efficiency of local PES included six variables (four inputs and two outputs). Only seven PES obtained full efficiency. The inefficiency of analyzed PES varied from about 1% to 80%. In the second stage, the attention focuses on the relationship between true unknown efficiency and its determinants (five environmental variables, both demand and supply oriented). Then, the regression coefficients and confidence intervals showed that three out of five variables influence the efficiency results, the share of the long-term unemployed, the share of the unemployed under 30, and the share of the unemployed over 50 in the total number of unemployed.

中文翻译：

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DEA方法及其在公共部门效率评估中的应用可能性-以当地公共就业服务为例

公共就业服务（PES）被认为是改善劳动力市场供求关系过程中的重要机构，尽管它们很重要，但仍达不到预期的效率。指出的问题部分是由于缺乏适用的劳动力市场政策工具的适当评估方法。本文旨在验证使用两阶段数据包络分析（DEA）方法测量公共部门实体效率的可能性。作者主要研究了2019年在波兰Mazovia省运营的39个PES。在第一阶段，本地PES的技术效率模型包括六个变量（四个输入和两个输出）。只有七个PES获得了充分的效率。被分析的PES的无效性从大约1％到80％不等。在第二阶段 注意力集中在真正的未知效率与其决定因素（五个环境变量，既面向需求又面向供应）之间的关系。然后，回归系数和置信区间显示，五分之三的变量会影响效率结果，长期失业的份额，30岁以下的失业者的份额以及50岁以上的失业者在总失业人数中的份额。失业。