an article by Dalit Contini, Marianna Filandri and Lia Pacelli (University of Torino, Italy) published in Journal of Youth Studies Volume 22 Issue 7 (2019)
Abstract
This article addresses the NEET phenomenon in a longitudinal perspective, by examining the case of Italy, a country experiencing one of the highest and increasing NEET shares in the EU.
We exploit the longitudinal sample of the 2008-2011 EU-SILC data, providing self-declared information on individuals’ educational and occupational status on a monthly basis for 4 years.
Firstly, we propose a classification of individual histories in education, employment and the NEET states. According to our estimates, more than 40% of the Italian young people report being NEET for at least 13 months out of 48, and more than 10% for (almost) the entire period.
Secondly, we examine the composition of the NEET groups and draw a long-term NEET risk profile for individuals from different sociodemographic groups.
Thirdly, we examine the longitudinal histories by distinguishing between unemployment and inactivity spells.
Our findings show that the NEET phenomenon among Italian young adults is largely an issue of unemployment. The only exception is represented by Italian older females with children, the majority of which portrays themselves as inactive. Still, a sizable portion of these women define themselves as being mainly ‘unemployed’ instead of ‘performing domestic tasks’, indicating an unsatisfied wish or need to work.
Showing posts with label inactivity. Show all posts
Showing posts with label inactivity. Show all posts
Monday, 19 August 2019
Tuesday, 22 May 2018
Long-term scarring effect of neither working nor studying
an article by Fredrik W. Andersson and Susanne Gullberg Brännstrom (Statistics Sweden, Örebro, Sweden) and Roger Mörtvik (Umeå University, Sweden) published in International Journal of Manpower Volume 39 Issue 2 (May 2018)
Abstract
Purpose
It is increasingly important to study labour market outcomes for people who are not in employment, education, or training (NEET). Where most studies focus solely on young people, the purpose of this paper is to include both younger and older NEETs to find out if there is any long-term scarring effect, and if the effect is different between these two groups.
Design/methodology/approach
This study uses a twin-based estimation method for the first time to measure the long-term effect of economic inactivity on income. The analysis is based on biological twins, in order to control for individuals’ unobservable heterogeneity. It is assumed that twins are similar to each other and the only unobservable heterogeneity is at the family level. Register-based data from Statistics Sweden is used.
Findings
The result indicates a significant negative income effect for those who have been in NEET, and is larger for those who have been in NEET for several consecutive periods of time. Individuals who were in NEET during 2001-2003 had on average 62 per cent lower income compared with their twin in 2011. The corresponding number for individuals who were in NEET for just one period was 33 per cent. Hence, time in NEET reduces income. The results show that the long-term scarring effect is not affected by age.
Originality/value
This study utilises for the first time a twin-based estimation method to measure the long-term effect of inactivity. Most studies focus solely on young people, but the authors also include an older group of people.
JEL Classification: J20, J24, J30, J60
Abstract
Purpose
It is increasingly important to study labour market outcomes for people who are not in employment, education, or training (NEET). Where most studies focus solely on young people, the purpose of this paper is to include both younger and older NEETs to find out if there is any long-term scarring effect, and if the effect is different between these two groups.
Design/methodology/approach
This study uses a twin-based estimation method for the first time to measure the long-term effect of economic inactivity on income. The analysis is based on biological twins, in order to control for individuals’ unobservable heterogeneity. It is assumed that twins are similar to each other and the only unobservable heterogeneity is at the family level. Register-based data from Statistics Sweden is used.
Findings
The result indicates a significant negative income effect for those who have been in NEET, and is larger for those who have been in NEET for several consecutive periods of time. Individuals who were in NEET during 2001-2003 had on average 62 per cent lower income compared with their twin in 2011. The corresponding number for individuals who were in NEET for just one period was 33 per cent. Hence, time in NEET reduces income. The results show that the long-term scarring effect is not affected by age.
Originality/value
This study utilises for the first time a twin-based estimation method to measure the long-term effect of inactivity. Most studies focus solely on young people, but the authors also include an older group of people.
JEL Classification: J20, J24, J30, J60
Friday, 29 December 2017
How 15-Minute Boredom Sessions Can Help You Manage Stress and Emotions
a post by Derek Beres for the Big Think blog
If you want to know the state of a nation, we generally look no further than online. A proper portrait, that does not yield. Look, instead, at the line in front of you, waiting for a cappuccino or to pay for groceries. Look into the cars surrounding you at a red light. Look around anywhere in the public space, except at your phone. Then you’ll get a sense of where our heads are at.
Our heads are down, perpetually angled at the screen, whenever a moment of potential boredom arises. Waiting for a meal? Barista taking too long? Or even the proper amount of time – those 30 seconds are crushingly dull. Caffeine is a secondary stimulation, a little jolt to turn your attention so that it can immediately be pulled into the innumerable waves of inattention on Instagram.
Where did boredom go? What happens when we stop allowing ourselves the habit of staring into space, letting our minds wander? Instead of a deluge of constant information, can we, as Michael Harris writes in The End of Absence, “engineer scarcity in our communications, in our interactions, and in the things we consume?”
Continue reading
If you want to know the state of a nation, we generally look no further than online. A proper portrait, that does not yield. Look, instead, at the line in front of you, waiting for a cappuccino or to pay for groceries. Look into the cars surrounding you at a red light. Look around anywhere in the public space, except at your phone. Then you’ll get a sense of where our heads are at.
Our heads are down, perpetually angled at the screen, whenever a moment of potential boredom arises. Waiting for a meal? Barista taking too long? Or even the proper amount of time – those 30 seconds are crushingly dull. Caffeine is a secondary stimulation, a little jolt to turn your attention so that it can immediately be pulled into the innumerable waves of inattention on Instagram.
Where did boredom go? What happens when we stop allowing ourselves the habit of staring into space, letting our minds wander? Instead of a deluge of constant information, can we, as Michael Harris writes in The End of Absence, “engineer scarcity in our communications, in our interactions, and in the things we consume?”
Continue reading
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