Analysing the relationship between unemployment benefits and unemployment duration
Bibliographic Data
| ID | 12846802 |
|---|---|
| Authors | Laura Južnik Rotar (0000-0001-9277-8810, corresponding author), Sabina Krsnik (0000-0002-9897-7623, Higher Education Centre Novo Mesto) |
| Year | 2020 |
| Volume | 42 |
| Issue | 3 |
| Pages | 280-297 |
| Publication date | 2020-06-18 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Society and Economy (JOURNAL) |
| Journal identifiers | ISSN: 1588-970X • E-ISSN: 1588-9726 |
| Publisher | Akadémiai Kiadó (PUBLISHER • HU) |
| DOI | 10.1556/204.2020.00009 |
| OpenAlex | W3036854386 |
| Language | EN |
| Citations received | 3 |
| References cited | 27 |
The aim of this paper is to analyse the relationship between unemployment benefits and durations of unemployment with respect to different approaches in social policy. The hypothesis of the research is that unemployment benefits negatively affect the duration of unemployment. An analysis of the relationship concerning unemployment benefits and duration of unemployment within the European Union Member States (EU-28) between 2006–2018 using panel data regression approach was conducted. The sample was split into sub-samples in order to get more homogeneous groups of EU-28 countries. Estimation results suggest that the more generous a social policy, the more prevalent the negative relationship between unemployment duration and unemployment benefits. Our results also revealed that the better the economic situation, the less pressure is put on unemployment benefits and on the duration of unemployment
Affect (linguistics · Demographic economics · Duration (music · Econometrics · Economic growth · Economic policy · Economics · Estimation · Eu countries · European union · Labour economics · Order (exchange · Panel data · Sample (material · Unemployment · Employment and Welfare Studies · Firm Innovation and Growth · Labor market dynamics and wage inequality · Psychology
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| Unique citing works | 3 |
|---|---|
| Citations per year | 1 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |