Die Chancen und Risiken eines Experience rating in der Arbeitslosenversicherung

Eppel, Rainer; Mahringer, Helmut

doi:10.1515/pwp-2019-0009

Cited by 2 publications

(2 citation statements)

References 37 publications

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“…On the contrary, many employers interpret long-term unemployment as a negative signal of reduced productivity or willingness to work and are therefore even more reluctant to hire the long-term unemployed than the short-term unemployed (cf. Eppel et al 2018). For this reason, it can be assumed that the long-term unemployed would have been hired less often anyway without the subsidy.…”

Section: Resultsmentioning

confidence: 99%

Active Labour Market Policies: What Works for the Long-Term Unemployed?

Eppel,

Huemer,

Mahringer

et al. 2023

The B.E. Journal of Economic Analysis &Amp; Policy

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There is still a lack of knowledge on how to effectively help the long-term unemployed into employment. We evaluate a wide range of active labour market policies for this target group, using a dynamic matching approach. Measures vary considerably in the extent to which they improve labour market prospects. Human capital-intensive training programs that substantially enhance vocational skills and employment programs are most effective, short activating job search training the least. Our results suggest that not only wage subsidies in the private sector, but also direct job creation in the public and non-profit sectors can work, if properly designed.

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Section: Resultsmentioning

confidence: 99%

Active Labour Market Policies: What Works for the Long-Term Unemployed?

Eppel,

Huemer,

Mahringer

et al. 2023

The B.E. Journal of Economic Analysis &Amp; Policy

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“…Nüß (2018) demonstrated that prolonged periods of unemployment can result in skill decay and labour market discrimination, which in turn reduce an individual's likelihood of being re-employed in the future. This likelihood of being re-employed was estimated by Eppel et al (2018) for Austria. They find a probability of 3.0% for long-term unemployed people finding employment in the following month, compared to 14.2% for the short-term unemployed.…”

Section: Introductionmentioning

confidence: 99%

Simulating the Economic Effects of an Employer of Last Resort Program for Austria

Mayerhofer

2023

WUG

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Unemployment in Austria has increased considerably since the late 1970s, reaching its climax during the recent Covid-19 crisis with 409,639 individuals being registered unemployed in 2020. Conventional policy instruments appear insufficient to effectively address the persistent rise in unemployment over the decades. An increasingly prominent policy approach is the employer of last resort (ELR) which offers public employment at a base wage to everyone willing and able to work. The aim here is to simulate the economic effects of an ELR covering all registered unemployed people in Austria in 2020 using a static input-output model. The channel through which the ELR operates is the additional income generated by employing the unemployed. This income is assumed to translate into household consumption expenditure, ultimately spurring aggregate demand. The simulation results indicate that in a middle-bound scenario with respect to the programme wage, the ELR would raise output (Produktionswert) by 2.2% of GDP, value added by 0.9% of GDP, employee compensation by 0.4% of GDP and non-ELR employment by a total of 36,000 full-time equivalents. The results indicate that implementing an ELR programme would not only remove involuntary unemployment but also be accompanied by beneficial macroeconomic effects.

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Die Chancen und Risiken eines Experience rating in der Arbeitslosenversicherung

Cited by 2 publications

References 37 publications

Active Labour Market Policies: What Works for the Long-Term Unemployed?

Active Labour Market Policies: What Works for the Long-Term Unemployed?

Simulating the Economic Effects of an Employer of Last Resort Program for Austria

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