scholarly journals Mental Health and Labour Market Participation: Evidence from IV Panel Data Models

2010 ◽  
Author(s):  
Paul Frijters ◽  
David W. Johnston ◽  
Michael A. Shields
Keyword(s):  
Mental Health ◽  
Panel Data ◽  
Labour Market ◽  
Data Models ◽  
Panel Data Models ◽  
Market Participation ◽  
Labour Market Participation

Helpt kinderopvang de herintreding van moeders stimuleren?

2006 ◽  
Vol 22 (3) ◽  
Author(s):  
Didier Fouarge
Keyword(s):  
Panel Data ◽  
Young Children ◽  
Labour Market ◽  
Significant Role ◽  
Labour Force ◽  
Market Participation ◽  
Labour Market Participation ◽  
Regional Demand ◽  
Positive Effect ◽  
Formal Childcare

Does more childcare stimulate mothers to re-enter the labour market? Does more childcare stimulate mothers to re-enter the labour market? Previous research has shown that the supply of formal childcare facilities has a positive effect on the labour market participation of mothers with young children. When the supply of childcare facilities is higher, the probability that a female keeps on working after the birth of a child is larger. But does childcare also helps non-working mothers to join the labour force? This research shows that it is not the case. The research was carried out on administrative panel data to which data on the regional supply of childcare and the regional demand for labour were matched. It shows that the supply of childcare does not play a significant role in the re-entry in the labour market of mothers. The age of the child and the demand for labour in the region play an important role.

scholarly journals Does the timing and duration of mental health problems during childhood and adolescence matter for labour market participation of young adults?

2021 ◽  
pp. jech-2020-215994
Author(s):  
Samira de Groot ◽  
Karin Veldman ◽  
Benjamin C Amick III ◽  
Tineke A J Oldehinkel ◽  
Iris Arends ◽  
...  
Keyword(s):  
Mental Health ◽  
Young Adults ◽  
Labour Market ◽  
Young Adulthood ◽  
Mental Health Problems ◽  
Childhood And Adolescence ◽  
Market Participation ◽  
Externalising Problems ◽  
Labour Market Participation ◽  
Internalising Problems

BackgroundLittle is known about the timing and duration of mental health problems (MHPs) on young adults’ labour market participation (LMP). This life-course study aims to examine whether and how the timing and duration of MHPs between childhood and young adulthood are associated with LMP in young adulthood.MethodsLogistic regression analyses were performed with data from the Tracking Adolescents’ Individual Lives Survey (TRAILS), a Dutch prospective cohort study with 15-year follow-up (N=874). Internalising and externalising problems were measured by the Youth/Adult Self-Report at ages 11, 13, 16, 19 and 22. Labour market participation (having a paid job yes/no) was assessed at age 26.ResultsInternalising problems at all ages and externalising problems at age 13, 19 and 22 were associated with an increased risk of not having a paid job (internalising problems ORs ranging from 2.24, 95% CI 1.02 to 4.90 at age 11 to OR 6.58, CI 3.14 to 13.80 at age 22; externalising problems ORs from 2.84, CI 1.11 to 7.27 at age 13 to OR 6.36, CI 2.30 to 17.56 at age 22). Especially a long duration of internalising problems increased the risk of not having a paid job in young adulthood.ConclusionThe duration of MHPs during childhood and adolescence is strongly associated with not having paid work in young adulthood. This emphasises the necessity of applying a life-course perspective when investigating the effect of MHPs on LMP. Early monitoring, mental healthcare and the (early) provision of employment support may improve young adult’s participation in the labour market.

scholarly journals Do pensions reduce the incentive to work? Evidence from Egypt

2018 ◽  
Vol 63 (219) ◽  
pp. 33-59
Author(s):  
Nguyen Cuong ◽  
Mohamed Arouri
Keyword(s):  
Panel Data ◽  
Labour Market ◽  
Labour Supply ◽  
Fixed Effect ◽  
Market Participation ◽  
Panel Surveys ◽  
Labour Market Participation ◽  
Household Members ◽  
The Impact

In this study we investigate the impact of the receipt of contributory and social pensions on the labour supply of individuals in Egypt, using individual fixed-effect regressions and panel data from the Egypt Labour Market Panel Surveys in 2006 and 2012. The study compares the effect of social pensions and contributory pensions. We find that the receipt of contributory pensions reduces the probability of working as well as the probability of having a waged job of household members aged from 15. The receipt of social pensions has no significant effect on the probability of working for those aged 15-60. However, receiving social pensions can reduce both working and labour market participation of people aged over 60.

Signaling Similarity in the Icelandic Labour Market: How Can Immigrants Reduce Statistical Discrimination?

2020 ◽  
Vol 17 (2) ◽  
pp. 349-356
Author(s):  
Kari Kristinsson ◽  
Margret Sigrun Sigurdardottir
Keyword(s):  
Labour Market ◽  
Qualitative Interviews ◽  
Immigrant Integration ◽  
Statistical Discrimination ◽  
Hiring Decisions ◽  
Market Participation ◽  
Job Experience ◽  
Labour Market Participation ◽  
Signal Similarity

Research on immigration has emphasized the role that statistical discrimination plays in hiring decisions. A better understanding of how immigrants overcome this type of discrimination might lead to better interventions to improve their labour market participation. In this paper, we use qualitative interviews to examine how immigrants can reduce statistical discrimination by signalling their similarity to employers in their job applications. Specifically, we find that immigrants who demonstrate signal similarity to employers in the type of education, job experience and religion tend to reduce their statistical discrimination by employers. We suggest how further research can build on these results to provide possible tools for immigrant integration.

Exploring gender digital divide and its effect on women's labour market outcomes in South Africa

2020 ◽  
Vol 9 (4) ◽  
pp. 85-108
Author(s):  
Kehinde Oluwaseun Omotoso ◽  
Jimi Adesina ◽  
Ololade G. Adewole
Keyword(s):  
South Africa ◽  
Labour Market ◽  
Married Women ◽  
Internet Usage ◽  
Market Participation ◽  
Market Outcomes ◽  
Broadband Internet ◽  
Variable Approach ◽  
Labour Market Participation ◽  
Labour Market Outcomes

Technology plays a significant role in bridging gender gap in labour market outcomes. This paper investigates gender differential in broadband Internet usage and its effects on women‘s labour market participation. Employing an instrumental variable approach, findings suggest that exogenously determined high-speed broadband internet usage leads to increases of about 14.1 and 10.6 percentage points in labour market participation for single women and married women with some level of education, respectively. Moreover, further analyses suggest that married women are generally less likely to use the Internet to search for job opportunities and this could partly explains their low labour market participation rate. The findings suggest that more policy effort is required to bridge gender differentials in digital technologies and employment opportunities in South Africa.

NONLINEAR PANEL DATA MODELS WITH DISTRIBUTION-FREE CORRELATED RANDOM EFFECTS

2021 ◽  
pp. 1-25
Author(s):  
Yu-Chin Hsu ◽  
Ji-Liang Shiu
Keyword(s):  
Panel Data ◽  
Data Model ◽  
Conditional Distribution ◽  
Unobserved Heterogeneity ◽  
Random Effect ◽  
Data Models ◽  
Panel Data Model ◽  
Panel Data Models ◽  
Likelihood Functions ◽  
Correlated Random Effects

Under a Mundlak-type correlated random effect (CRE) specification, we first show that the average likelihood of a parametric nonlinear panel data model is the convolution of the conditional distribution of the model and the distribution of the unobserved heterogeneity. Hence, the distribution of the unobserved heterogeneity can be recovered by means of a Fourier transformation without imposing a distributional assumption on the CRE specification. We subsequently construct a semiparametric family of average likelihood functions of observables by combining the conditional distribution of the model and the recovered distribution of the unobserved heterogeneity, and show that the parameters in the nonlinear panel data model and in the CRE specification are identifiable. Based on the identification result, we propose a sieve maximum likelihood estimator. Compared with the conventional parametric CRE approaches, the advantage of our method is that it is not subject to misspecification on the distribution of the CRE. Furthermore, we show that the average partial effects are identifiable and extend our results to dynamic nonlinear panel data models.

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