Regional Long-term and Short-term Unemployment and Education in Transition: The Case of Poland

Mondschean, Thomas H.; Oppenheimer, Margaret

doi:10.1016/j.jeca.2011.02.004

Cited by 8 publications

(5 citation statements)

References 40 publications

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“…Regarding education variable, we find that individuals who receive lower and higher education are more likely to stay unemployed longer than vocational education in both periods. Our results are in line with Mondschean and Oppenheimer (2011) in terms of having vocational degree education and shorter unemployment duration. Our results point out that in both periods the coefficient estimate of being married is negatively associated with the unemployment duration.…”

Section: Empirical Findingssupporting

confidence: 90%

Unemployment Benefits and Unemployment Duration in France and Poland

Doğan

2019

mjes

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This research attempts to investigate the impact of the unemployment benefits on unemployment duration in France and Poland. It is assumed that all social transfers have effect on labor supply. Therefore, vast amount of policies and reforms have been taken at the EU level. Panel of Income and Living Conditions Survey (EU-SILC) data is taken from Eurostat to conduct the empirical analyses of monthly periods over 2006-09 and 2011-14. The estimation is conducted by applying Accelerated Failure Time (AFT) model. The empirical results indicate that in both countries receiving unemployment benefits prolongs unemployment duration in both periods. The findings may be validation for the job search theory and signaling for inefficient allocation of social transfer resources and suboptimal investment in areas like education. Especially, reallocation of investment in training toward old aged individuals may be the primary policy implication to be drawn.

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Section: Empirical Findingssupporting

confidence: 90%

Unemployment Benefits and Unemployment Duration in France and Poland

Doğan

2019

mjes

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“…The more regions where citizens have higher levels of education, the better effect will be to reduce unemployment in both the region and the neighboring regions. Research conducted by Eggert et al also supports this research., (2010), Mondschean & Oppenheimer (2011), Riddell and Song (2011), Kose & Gunez (2013), Guclu (2017), Lavrinovicha et al, (2015), and Snieska et al, (2015). This fact could be due to several things, such as: First, those employment needs are widely available to those who have higher education.…”

Section: Selection Of the Best Modelmentioning

confidence: 99%

The Determinant of Regional Unemployment in Indonesia: The Spatial Durbin Models

2019

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Unemployment is a problem that occurs in many countries and often gets special attention both from policymakers and academics. This fact is because if not addressed, it will cause socio-economic problems in the country. Therefore it is necessary to formulate the causes of unemployment by involving spatial aspects to avoid biased and inefficient estimates. This study aims to find the determinants of unemployment rates in Indonesia, including calculating the direct and indirect effect of using the spatial Durbin models (SDM) in the period [2000][2001][2002][2003][2004][2005][2006][2007][2008][2009][2010][2011][2012][2013][2014][2015][2016][2017]. The results of this study indicate that the overall independent variables used significantly influence the unemployment rate in Indonesia. Besides, it turns out that the higher education variable completed by the population of a region has the most significant impact both in decreasing unemployment in a region and neighboring regions. Therefore, the policy taken should pay attention to this. Keywords: regional unemployment, spatial durbin model, direct and indirect effect AbstrakPengangguran merupakan suatu permasalahan yang banyak terjadi di berbagai negara dan sering menjadi perhatian bagi akademisi maupun pengambil kebijakan. Karena jika tidak diatasi, hal ini akan menyebabkan masalah sosial ekonomi di negara tersebut. Oleh karena itu perlu dirumuskan penyebab pengangguran dengan melibatkan aspek spasial untuk menghindari estimasi yang bias dan tidak efisien. Penelitian ini bertujuan untuk mengetahui determinan dari tingkat pengangguran di Indonesia termasuk menghitung dampak langsung dan dampak tidak langsung dengan menggunakan model spasial durbin (SDM) pada periode tahun 2000-2017. Hasil penelitian ini menunjukkan bahwa keseluruhan variabel bebas yang digunakan signifikan berpengaruh terhadap tingkat pengangguran di Indonesia. Selain itu ternyata variabel pendidikan tinggi yang di tamatkan oleh penduduk suatu wilayah memiliki dampak terbesar dalam penurunan tingkat pengangguran baik di suatu wilayah maupun di wilayah tetangganya. Oleh karena itu, kebijakan yang diambil sebaiknya memperhatikan hal tersebut.Kata Kunci: pengangguran regional, model spasial durbin, efek langsung dan tidak langsung JEL Code: C21, J64, R12

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“…According to Spermann (2015), high-risk factors of L.T.U. include a lack of professional qualifications, age, health, and family status, but the high-risk groups may vary by country (Kieselbach, 2003) and region (Mondschean & Oppenheimer, 2011). The scale of L.T.U.…”

Section: Introductionmentioning

confidence: 99%

“…may depend on the individual behaviours of unemployed people. These behaviours can be differentiated by many characteristics, including the possession of various features of human capital (Mondschean & Oppenheimer, 2011).…”

Section: Introductionmentioning

confidence: 99%

Socioeconomic aspects of long-term unemployment in the context of the ageing population of Europe: the case of Poland

Grzenda

2019

Economic Research-Ekonomska Istraživanja

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In view of the ageing populations of Europe, an important current challenge for labour markets is to increase the professional activity of those social groups whose participation in the labour market is insufficient. This work focuses on people unemployed for 12 months or more. The main purpose of this study is designation of those social groups which have the greatest problems with getting out of long-term unemployment, and assessment of the consequences of long-term unemployment, depending on its duration, in the context of the ageing society. We have investigated this problem using the example of Poland, which suffers from particularly low fertility rates. In this study, data from the Labour Force Survey (L.F.S.) for Poland have been used to model the duration of long-term unemployment. In the analysis the accelerated failure time models (A.F.T.) in the Bayesian approach have been used. Our results show, among other things, that difficulties in getting out of long-term unemployment mainly affect women and people who have children or who looked after children directly before the start of their job search. This, in consequence, may deepen the problem of the decrease in labour supply caused by the ageing population.

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Regional Long-term and Short-term Unemployment and Education in Transition: The Case of Poland

Cited by 8 publications

References 40 publications

Unemployment Benefits and Unemployment Duration in France and Poland

Unemployment Benefits and Unemployment Duration in France and Poland

The Determinant of Regional Unemployment in Indonesia: The Spatial Durbin Models

Socioeconomic aspects of long-term unemployment in the context of the ageing population of Europe: the case of Poland

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