scholarly journals Did the labour market matching efficiency change in Poland i 2003-2008?

2017 ◽  
Vol 2 (39) ◽  
pp. 91-110
Author(s):  
Ewa Gałecka-Burdziak
2014 ◽  
Vol 64 (3) ◽  
pp. 287-312 ◽  
Author(s):  
Iva Tomić

This article investigates the efficiency of the matching process by panel stochastic frontier estimation of the matching function in Croatia. The empirical analysis is conducted on a regional level using regional office-level monthly data obtained from the Croatian Employment Service for 2000–2011. The results suggest that the efficiency of the matching process is rising over time, although with significant regional variations. In order to explore these variations, structural characteristics of the labour market together with some policy variables are included in the second-stage estimation. Various structural variables have different impact on the matching efficiency, while policy variables are mostly positively correlated with it. For instance, both active labour market programs and the number of high-skilled employees in regional employment offices positively affect matching efficiency. Additionally, when regional income per capita is included in the model, it shows positive impact on the matching efficiency, indicating that demand fluctuations predominantly affect the matching process. Finally, in order to get consistent estimates, panel stochastic frontier model transformation is applied. The obtained results show that there is no major difference in estimated mean technical efficiency coefficients in comparison to the original estimation.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pablo de Pedraza ◽  
Martin Guzi ◽  
Kea Tijdens

PurposeDi Tella et al. (2001) show that temporary fluctuations in life satisfaction (LS) are correlated with macroeconomic circumstances such as gross domestic product, unemployment and inflation. In this paper, we bring attention to labour market measures from search and matching models (Pissarides 2000).Design/methodology/approachOur analysis follows the two-stage estimation strategy used in Di Tella et al. (2001) to explore sectoral unemployment levels, labour market tightness and matching efficiency as LS determinants. In the first stage, we use a large sample of individual data collected from a continuous web survey during the 2007–2014 period in the Netherlands to obtain regression-adjusted measures of LS by quarter and economic sector. In the second-stage, we regress LS measures against the unemployment level, labour market tightness and matching efficiency.FindingsOur results are threefold. First, the negative link between unemployment and an employee's LS is confirmed at the sectoral level. Second, labour market tightness, measured as the number of vacancies per job-seeker rather than the number of vacancies per unemployed, is shown to be relevant to the LS of workers. Third, labour market matching efficiency affects the LS of workers differently when they are less satisfied with their job and in temporary employment.Originality/valueNo evidence of this relationship has been documented before. Our results give support to government interventions aimed at activating demand for labour, improving the matching of job-seekers to vacant jobs and reducing information frictions by supporting match-making technologies.


2018 ◽  
Vol 39 (8) ◽  
pp. 1010-1031 ◽  
Author(s):  
Pablo de Pedraza ◽  
Kea Tijdens ◽  
Stefano Visintin

Purpose The purpose of this paper is to explore the matching process before and after the Great Recession in the Netherlands. The Dutch case is interesting because it is characterised by increasing matching efficiency. Design/methodology/approach This paper uses data from 2001 to 2014 to study the Dutch labour market matching process accounting for the three labour market states and their heterogeneities. Findings The elasticity of hires with respect to the short-term employed was significant, positive and countercyclical, while elasticities relating to new entrants were procyclical. The matching function (MF) displays constant returns to scale (CRTS) when using an alternative labour supply (LS) measure that includes the short-term employed as jobseekers. The findings are at odds with the idea of mismatch and a shortage of skills. Search frictions for employers were lower and vacancies were filled faster. This can be related to the fact that in a loose labour market context with increasing short-term employment, employers increase their hiring of employed workers which generates negative externalities on unemployed. Originality/value The implications concern the specification of the MF and the CRTS assumption when using unemployment as a LS measure.


Author(s):  
Reinhold Kosfeld

SummaryWhen job search takes place across labour markets, the standard flow approach to labour market analysis fails to uncover the effectiveness at which workers are matched to available jobs. A spatially augmented matching function is backed by a spatial search model with endogenous search intensity. Recent studies deal with the issue of spatial externalities by assuming the process of job matching to be homogenous across space. This study shows that this supposition is not valid for the unified Germany. Particularly differences in labour mobility give reason for the existence of West-East regimes of the matching process. Spatial heterogeneity is additionally found on the level of German macroregions. Though matching efficiency is affected by labour market characteristics, its cyclical pattern is closely related to business cycle fluctuations. Variation of regional mismatch over the business cycle can only explain a relatively small fraction of matching efficiency.


2019 ◽  
Vol 24 (2) ◽  
pp. 243-263
Author(s):  
Ivan Luzardo-Luna

Abstract This article estimates the matching function of the British labour market for the period of 1921–1934. Changes in matching efficiency can explain both employment resilience during the Great Depression and the high structural unemployment throughout the interwar period. Early in the 1920s, matching efficiency improved due to the development of the retail industry. However, the econometric results show a structural break in March 1927, related to a major industrial reshuffling that reduced the demand for workers in staple industries. Since these industries were geographically concentrated, there was an increase in the average distance between the unemployed and vacancies, and matching efficiency declined.


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