TELE | DOES IT PROMOTE ECONOMY AND WELL-BEING? THE IMPACT OF TELEWORKING ON ENVIRONMENT AND LABOUR MARKET OUTCOMES

Summary
This project examines the telework effects on environment and labour market outcomes. More specifically, the first aim of the project is to analyse the link between job satisfaction, labour productivity and firm performance. The second aim is to examine the effects of teleworking on labour productivity/job satisfaction and environment (e.g. traffic, air pollution). The final aim of this study is to examine how teleworking affects the labour market and housework division between men and women. Two databases are used; the Workplace Employment Relations Survey (WERS) and British Household Panel Survey (BHPS). Various econometric techniques are applied, such as Fixed Effects and Dynamic Generalized Methods of Moments (GMM) models Instrumental Variables (IV) and Generalized Latent Class Ordered Probit Models, Seemingly Unrelated Regressions (SURE) and Three Stage Least Squares (3SLS).
Unfold all
/
Fold all
More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/652938
Start date: 01-06-2015
End date: 31-05-2017
Total budget - Public funding: 168 277,20 Euro - 168 277,00 Euro
Cordis data

Original description

This project examines the telework effects on environment and labour market outcomes. More specifically, the first aim of the project is to analyse the link between job satisfaction, labour productivity and firm performance. The second aim is to examine the effects of teleworking on labour productivity/job satisfaction and environment (e.g. traffic, air pollution). The final aim of this study is to examine how teleworking affects the labour market and housework division between men and women. Two databases are used; the Workplace Employment Relations Survey (WERS) and British Household Panel Survey (BHPS). Various econometric techniques are applied, such as Fixed Effects and Dynamic Generalized Methods of Moments (GMM) models Instrumental Variables (IV) and Generalized Latent Class Ordered Probit Models, Seemingly Unrelated Regressions (SURE) and Three Stage Least Squares (3SLS).

Status

CLOSED

Call topic

MSCA-IF-2014-EF

Update Date

28-04-2024
Images
No images available.
Geographical location(s)
Structured mapping
Unfold all
/
Fold all
Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.3. EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions (MSCA)
H2020-EU.1.3.2. Nurturing excellence by means of cross-border and cross-sector mobility
H2020-MSCA-IF-2014
MSCA-IF-2014-EF Marie Skłodowska-Curie Individual Fellowships (IF-EF)