Outreach Practices of Public Employment Services Targeted at NEET Youth in Poland

2021 ◽  
pp. 0044118X2110582
Author(s):  
Mateusz Smoter

This paper contributes to our understanding of whether, and if so, how public employment services in Poland are attempting to reach young NEETs, and whether they fail or succeed in their efforts. The study shows that most NEETs below 25 years of age in Poland, including rural NEETs, remain beyond the reach of the PES registers. The coverage rate is particularly low amongst those individuals who are outside the labor force. Effective outreach strategies may prevent them from moving into long-term inactivity. The study shows that the PES offices do not cooperate closely with local institutions: moreover, they use methods for approaching the hardest-to-reach individuals and residents of remote areas infrequently. The article discusses the obstacles to the effective functioning of the PES, the factors that contribute to the PES’ successes and failures, and the consequences for young NEETs of remaining outside of institutional support systems.

2021 ◽  
Vol 36 (3) ◽  
pp. 17-34
Author(s):  
Ewa Flaszyńska

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.


2021 ◽  
Author(s):  
John Körtner ◽  
Giuliano Bonoli

With the growing availability of digital administrative data and the recent advances in machine learning, the use of predictive algorithms in the delivery of labour market policy is becoming more prevalent. In public employment services (PES), predictive algorithms are used to support the classification of jobseekers based on their risk of long-term unem- ployment (profiling), the selection of beneficial active labour market programs (targeting), and the matching of jobseekers to suitable job opportunities (matching). In this chapter, we offer a conceptual introduction to the applications of predictive algorithms for the different functions PES have to fulfil and review the history of their use up to the current state of the practice. In addition, we discuss two issues that are inherent to the use of predictive algorithms: algorithmic fairness concerns and the importance of considering how caseworkers will interact with algorithmic systems and make decisions based on their predictions.


2011 ◽  
Vol 57 (3) ◽  
pp. 201-229 ◽  
Author(s):  
Paolo Naticchioni, ◽  
Silvia Loriga,

2013 ◽  
Vol 4 (2) ◽  
pp. 39-56
Author(s):  
Dominik Śliwicki

Long-term unemployment that is lasting more than twelve months,a phenomenon described by the theory of economics as a manifestation of a permanentimbalance between labor supply and demand for labor. In fact, it bringsthe same negative effects both in terms of economic, social and individual sphere.As a result, it leads to the formation of pejorative phenomena and behavior. Tocounter these negative phenomena, public employment services in its terms ofreference have the early detection of people at risk of long-term unemployment andto take preventive measures.The purpose of this article is to present logit econometric models defining thefactors which have a significant impact on long-term unemployment. These modelscan be used to predict the probability of long-term unemployment at the microlevel, ie for a single person. Due to the fact that the survey methodology are two definitions of unemployment – the first by the methodology of the Labour ForceSurvey, the second according to the law on employment promotion and labor marketinstitutions, one presented two models describing the probability of long-termunemployment and a comparative analysis.


2021 ◽  
pp. 1-18
Author(s):  
CAROLIN FREIER ◽  
MONIKA SENGHAAS

Abstract Employees of the public employment services (PES) are street-level bureaucrats who shape activation policy on the ground. This paper examines how PES staff use enhanced discretion in an innovation project carried out by the German Federal Employment Agency. Applying a bottom-up perspective, we reconstruct PES employees’ logic of action and the dilemmas they face in improving counselling and placement services. According to our findings, placement staff use enhanced discretion to promote more individualised support and an adequate matching of jobseekers and employers. The use of discretion is framed by organisational norms and reward mechanisms and by the current labour market situation. Our analyses are based on qualitative interviews and group discussions with placement staff.


Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 80
Author(s):  
Ewa Cichowicz ◽  
Ewa Rollnik-Sadowska ◽  
Monika Dędys ◽  
Maria Ekes

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.


2017 ◽  
Vol 22 ◽  
pp. 93-99
Author(s):  
Oleksandr Temchenko

The article deals with developing long-term sustainability programmes as a means of ensuring the effective functioning of mining enterprises. The authors focus on specific problems of Ukrainian mining enterprises’ activity, substantiation of implementing environmentally sustainable natural resource management. The system of strategic factors for ensuring mining enterprises’ sustainable development under unstable economic conditions is formed.


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