Jobless Population and Employment Flows in Recession

Nestić, Danijel; Tomić, Iva

doi:10.1080/19448953.2018.1385271

Cited by 6 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Bulgaria, the analysis shows a minimal range of support programmes to tackle the diverse problems and difficulties young people face (Kovacheva & Hristozova, 2022). The vulnerability of NEETs is related to low education and poverty (Mussida & Sciulli, 2023;Nestić & Tomić, 2018;Papadakis et al, 2019;Vugt et al, 2022). Nestić and Tomić (2018) found that NEETs are slightly younger, less well-educated, and more often live in rural areas.…”

Section: The Effectiveness Of Almp For Rural Neets In Lithuaniamentioning

confidence: 99%

Active Labour Market Policies for Rural NEETs in Lithuania: A Case of Rural Municipalities

Skučienė,

Brazienė

2024

PaG

View full text Add to dashboard Cite

This article aims to analyse active labour market policy efficiency for rural young NEETs integration into the labour market in the socioeconomic context of rural municipalities in Lithuania. For the empirical analysis, the administrative data of the public employment service concerning active labour market policy measures, e.g., training and mobility support, subsidised employment, and support for establishing or adapting workplaces of 2018 and 2022, as well as Lithuanian statistics data of 2018 and 2020 are used. The socio-economic environment of rural municipalities was analysed using the economic indicators (complex index), public transport accessibility, average wage, and free vacancies indicators. The recipient’s integration into employment after six months of participation in active labour market policy measures is analysed. The data revealed poor economic indicators, undeveloped public transport, lower average salaries, and a need for more vacancies in rural municipalities. The integration into employment fell significantly in two rural municipality clusters after the Covid-19 pandemic.

show abstract

Section: The Effectiveness Of Almp For Rural Neets In Lithuaniamentioning

confidence: 99%

Active Labour Market Policies for Rural NEETs in Lithuania: A Case of Rural Municipalities

Skučienė,

Brazienė

2024

PaG

View full text Add to dashboard Cite

show abstract

“…22. Nestić and Tomić (2018) call them the "NEET adults", but we find the term "extended NEET" more appropriate. 23.…”

Section: Labour Market Situationmentioning

confidence: 99%

“…Then, the employed are considered to be participating, and the rest are considered to be not participating. In a recent paper, Nestić and Tomić (2018) extend the NEET (not in employment, education or training) concept beyond the youth population. In particular, they consider the whole population aged 20-64, and define the extended NEETs[ 22 ] as those not in employment, education, training, retirement or disability.…”

Section: Labour Market Situationmentioning

confidence: 99%

Making work pay in Croatia: An exante evaluation of two in-work benefits using miCROmod

Bezeredi¹,

Ledić²,

Rubil³

et al. 2018

IJM

View full text Add to dashboard Cite

The aim of this paper is twofold. First, we introduce miCROmod, the most recent and comprehensive tax-benefit microsimulation model for Croatia. The focus of this paper is on its behavioural component, a structural labour supply model. Unlike in the standard discrete choice models, where labour supply follows from the agent's choice of work/leisure hours only, in our model, labour supply follows from the agent's choice from a set of jobs, which are characterised by work hours and a set of non-pecuniary job attributes that are unobserved by the researcher. In addition to the budget constraint, the agent faces constraints in the form of labour market opportunities. Second, we use the behavioural tax-benefit model to simulate the effects on the labour supply of couples and the income distribution of the introduction of in-work benefits-transfers conditional on working a certain number of hours. The following two benefits are considered: a family-based benefit imported from the UK, which is income-tested at the family level, and an individual-based benefit from Slovakia, which is income-tested at the individual level. According to the results, both are redistributive towards the needy. However, while the individual-based benefit increases the labour supply, the family-based benefit reduces it, contrary to its very purpose. An implication is that countries considering introducing an in-work benefit and that have most of their social transfers income-tested at the family level should be aware that family-level income-testing of in-work benefits might not improve work incentives, or might even harm them, especially if the benefits are generous.

show abstract

“…Considering all these circumstances, there is an important risk of exclusion for youth, but is seems to be higher for the NEETs, as is proved by the data related to the EU, as is shown in Figure 3, and an overview of the total population by age in Figure 4. Academic literature points to the economic situation [8,9] and the risk of exclusion [5,10] as important factors interacting [11,12] to influence the youth's discouragement and the possible increase of the number of NEETs. Trying to locate the link among these three variables, in general, and trying to identify a causal relation is the main objective of this work.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Development, Poverty, and Risk of Exclusion for Young People in the European Union: The Case of NEETs

2018

View full text Add to dashboard Cite

The difficulties of access to the labor market remains in the post-crisis period, particularly for younger people and for those countries more affected by the crisis. The economic conditions with the precariousness of the labor market and higher unemployment taxes for youth, draws a scenario where the risk of poverty and social exclusion could influence young people and discourage them from social and economic participation, and thus the number of young people not in employment, education, or training (NEETs) will increase. The sustainable development in general and the social sustainability in particular needs to solve this important issue to get a balanced and fair social and economic scenario. In this work, the influence of socio economic variables related to the level of prosperity of the country and social protection as well as the risk of poverty and social exclusion on young NEETs is evaluated based on the EUROSTAT data for the year, 2016, for young people. The method was a structural equations model and the results confirm that the key important factors for explaining the situation of the NEETs' are more related to poverty and exclusion than to the economic environment. The main conclusion from these results is the importance of implementing some inclusive actions to prevent an increase in the number of young NEETs, and boosting, in this way, a more balanced and sustainable society.

show abstract

Jobless Population and Employment Flows in Recession

Cited by 6 publications

References 0 publications

Active Labour Market Policies for Rural NEETs in Lithuania: A Case of Rural Municipalities

Active Labour Market Policies for Rural NEETs in Lithuania: A Case of Rural Municipalities

Making work pay in Croatia: An exante evaluation of two in-work benefits using miCROmod

Sustainable Development, Poverty, and Risk of Exclusion for Young People in the European Union: The Case of NEETs

Contact Info

Product

Resources

About