An Efficiency Comparison of Regional Employment Offices Operating under Different Exogenous Conditions

Ramirez, José V.; Vassiliev, Anatoli

doi:10.1007/bf03399232

Cited by 10 publications

(2 citation statements)

References 19 publications

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“…Even though different methods have been applied across PES in the different member states of the European Union, it seems that no PES as yet has put together an integrated and comprehensive system for assessing efficiency (Ejler and Sidelmann 2015). At the same time, due to the role of PES, the methodology and the results of evaluation studies (Heckman et al 1999;Ramirez and Vassilev 2007), which indicate that active labor market programs usually have an insufficient impact on the improvement of the professional situation of people covered by support and the chance of finding a job by the unemployed, it is even more important to develop a methodology measuring the efficiency. Looking at the problem of PES efficiency, it seems that a properly selected indicator of its measurement should be included in the assessment of the economic development of socio-economic systems.…”

Section: Literature Reviewmentioning

confidence: 99%

The DEA Method and Its Application Possibilities for Measuring Efficiency in the Public Sector—The Case of Local Public Employment Services

et al. 2021

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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.

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Section: Literature Reviewmentioning

confidence: 99%

The DEA Method and Its Application Possibilities for Measuring Efficiency in the Public Sector—The Case of Local Public Employment Services

et al. 2021

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“…Clinch and O'Neill (2009) highlighted the importance of space for the evaluation of employment policies with a high level of decentralisation, as in the Andalusian case. Ramírez and Vassiliev (2007), Elhorst (2003 and2008), Elhorst and Zeilstra (2007), and Longhi and Nijkamp (2007) study the labour market at a territorial level. Some papers find a link between the size and the regional location of municipalities (Sánchez et al, 2018, Caravaca et al, 2014; the results indicate that large urban areas have the best economic, business results and a more dynamic labour market.…”

Section: Introductionmentioning

confidence: 99%

Measuring the labour efficiency in Andalusia (Spain): A DEA approach

Martínez¹,

López²,

García³

et al. 2021

IIRR-JORR

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This paper analyses the labour efficiency in Andalusia, and takes into account labour and demographic characteristics of the Andalusian municipalities. Data Envelopment Analysis (DEA) is the methodology employed. The results obtained indicate differences at the municipal level that depend on the geographical arrangement, with the provincial capitals being the least efficient. An inverse relationship is established between the size of the municipality (in terms of number of inhabitants) and its labour efficiency: the smaller the size of the municipality, the greater the efficiency. The distance to the capital is also important in establishing the efficiency: the greater the distance to the capital, the greater the efficiency.

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The efficiency of public employment services: a matching frontiers approach

Baños-Pino

Álvarez

Suárez

2019

AEA

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Purpose This paper aims to model the efficiency of labour offices belonging to the public employment services (PESs) in Spain using a stochastic matching frontier approach. Design/methodology/approach With this aim in mind, the authors apply a random parameter model approach to control for observed and unobserved heterogeneity. Findings Results indicate that when the information criteria of the estimates are analysed, it improves by controlling both, observed and unobserved heterogeneity in the inefficiency term. Also, results suggest that counsellors improve the productivity of labour offices and that the share of unemployed skilled persons, unemployed persons aged 44 or younger, as well as the share of unemployed persons in the construction sector, all affect the technical efficiency of PESs offices. Originality/value The model extends the previous specifications in the matching literature that capture only observed heterogeneity. Moreover, as far as the authors know, it is the first paper that estimates a matching frontier for the Spanish case. Finally, the database they use is at the office level and includes the work carried out by counsellors, which is a novelty in the analysis of this type of studies at the Spanish level.

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An Efficiency Comparison of Regional Employment Offices Operating under Different Exogenous Conditions

Cited by 10 publications

References 19 publications

The DEA Method and Its Application Possibilities for Measuring Efficiency in the Public Sector—The Case of Local Public Employment Services

The DEA Method and Its Application Possibilities for Measuring Efficiency in the Public Sector—The Case of Local Public Employment Services

Measuring the labour efficiency in Andalusia (Spain): A DEA approach

The efficiency of public employment services: a matching frontiers approach

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