Consequences and risk factors of young people not in education, employment or training (NEET)

Fiona McLean Cox; Zhiqiang Feng; Dawn Everington; Kevin Ralston; Christopher John Lloyd Dibben; Gillian Mary Raab; Elspeth Forbes Graham

Consequences and risk factors of young people not in education, employment or training (NEET)

Fiona McLean Cox, Zhiqiang Feng, Dawn Everington, Kevin Ralston, Christopher John Lloyd Dibben, Gillian Mary Raab, Elspeth Forbes Graham

Research output: Other contribution

Abstract

In this project we explore consequences and risk factors of young people not in education, employment or training (NEET) over the past two decades. The project uses the Scottish Longitudinal Study (SLS) which links anonymised individual records from the 1991, 2001 and 2011 Censuses and a wide range of data from administrative sources. We find that being NEET is associated with adverse socioeconomic and health outcomes over the following 20-years. Individual, family, school and area-level factors are found to predict the likelihood of being NEET.

Original language	English
Type	Research Brief
Media of output	PDF via website
Publisher	CALLS-Hub
Number of pages	2
Publication status	Published - 18 Apr 2016

Publication series

Name	Research Briefs
Publisher	CALLS Hub
No.	3

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

http://calls.ac.uk/wp-content/uploads/CALLS-Research-Brief-3-Feng-Everington.pdf

Extension to Longitudinal Studies Centre: Extension for the Longitudinal Studies Centre - Scotland from 2012 to 2017
Findlay, A. M. (PI), Findlay, A. M. (PI), Dibben, C. J. L. (CoI) & Feng, Z. (CoI)
Economic & Social Research Council
1/08/12 → 31/07/17
Project: Standard
Longitudinal Study Development HUB: UK Census Longitudinal Study Development Hub
Cox, F. M. (PI), Findlay, A. M. (PI) & Kulu, H. (CoI)
Economic & Social Research Council
1/08/12 → 14/08/18
Project: Standard

Cite this

@misc{9955d92d186f412897c0b57c6a03f944,

title = "Consequences and risk factors of young people not in education, employment or training (NEET)",

abstract = "In this project we explore consequences and risk factors of young people not in education, employment or training (NEET) over the past two decades. The project uses the Scottish Longitudinal Study (SLS) which links anonymised individual records from the 1991, 2001 and 2011 Censuses and a wide range of data from administrative sources. We find that being NEET is associated with adverse socioeconomic and health outcomes over the following 20-years. Individual, family, school and area-level factors are found to predict the likelihood of being NEET.",

author = "Cox, {Fiona McLean} and Zhiqiang Feng and Dawn Everington and Kevin Ralston and Dibben, {Christopher John Lloyd} and Raab, {Gillian Mary} and Graham, {Elspeth Forbes}",

year = "2016",

month = apr,

day = "18",

language = "English",

series = "Research Briefs",

publisher = "CALLS-Hub",

number = "3",

type = "Other",

}

TY - GEN

T1 - Consequences and risk factors of young people not in education, employment or training (NEET)

AU - Cox, Fiona McLean

AU - Feng, Zhiqiang

AU - Everington, Dawn

AU - Ralston, Kevin

AU - Dibben, Christopher John Lloyd

AU - Raab, Gillian Mary

AU - Graham, Elspeth Forbes

PY - 2016/4/18

Y1 - 2016/4/18

N2 - In this project we explore consequences and risk factors of young people not in education, employment or training (NEET) over the past two decades. The project uses the Scottish Longitudinal Study (SLS) which links anonymised individual records from the 1991, 2001 and 2011 Censuses and a wide range of data from administrative sources. We find that being NEET is associated with adverse socioeconomic and health outcomes over the following 20-years. Individual, family, school and area-level factors are found to predict the likelihood of being NEET.

AB - In this project we explore consequences and risk factors of young people not in education, employment or training (NEET) over the past two decades. The project uses the Scottish Longitudinal Study (SLS) which links anonymised individual records from the 1991, 2001 and 2011 Censuses and a wide range of data from administrative sources. We find that being NEET is associated with adverse socioeconomic and health outcomes over the following 20-years. Individual, family, school and area-level factors are found to predict the likelihood of being NEET.

M3 - Other contribution

T3 - Research Briefs

PB - CALLS-Hub

ER -

Consequences and risk factors of young people not in education, employment or training (NEET)

Abstract

Publication series

UN SDGs

Access to Document

Fingerprint

Projects

Extension to Longitudinal Studies Centre: Extension for the Longitudinal Studies Centre - Scotland from 2012 to 2017

Longitudinal Study Development HUB: UK Census Longitudinal Study Development Hub

Cite this