ONLINE Data forum ‘Life course analysis: data and methodological challenges’

Description:

The InGRID – supported data forum on “Life course analysis: data and methodological challenges” brought together experts in life course analysis to discuss data and methodological issues. The data forum was organised in three streams: (1) data and methods for the study of intergenerational mobility, (2) use of cohort studies for life course analysis, (3) projection methods.

Growing stages vector Stages of aging men and women. People of different ages. Big vector set life stages NOT white background stock illustrations

Program

Tuesday, 6 July 2021

13.00-13.15
Introduction
Matteo Richiardi (CeMPA)

Session 1: Intergenerational mobility
Chair: Xavier Jara (CeMPA)

13:15-14:00
Trends in intergenerational home ownership and wealth transmission
Jo Blanden (University of Surrey)

14:00-14:45
A lifecycle estimator for intergenerational earnings mobility
Jan Stuhler (joint with Ursula Mello and Martin Nybom) (Universitad Carlos III)

14:45-15:00
Break

15:00-15:45
Trends in absolute intergenerational income mobility in Sweden
Makus Jantti (joint with Jesper Roine) (Stockholm University)

15:45-16:30
Contribution and challenges of studying intergenerational mobility in developing countries
Guido Neidhöfer (ZEW)

Wednesday, 7 July 2021

Session 2: Cohort and longitudinal data
Chair: Daria Popova (CeMPA)

9:00-9:45
Household income and children’s cognitive development between ages 3 and 9: Data from the Growing Up in Ireland study
Yekaterina Chzhen (Trinity College Dublin)

9:45-9:50
Break

9:50-10:35
Stratified employment trajectories, stratified outcomes: Addressing distributional questions using survey data and administrative records
Emanuela Struffolino (Humboldt-University)

10:35-10:40
Break

10:40-11:25
Examining the size of the gender wage gap within and across birth cohorts: some reflections on methodological challenges
Alex Bryson (UCL)

11:25-14:00
Break

Session 3: Projections
Chair: Matteo Richiardi (CeMPA)

14:00-14:45
A recipe for disaster: Survival modelling and extrapolation in health economic evaluation
Gianluca Baio (UCL)

14:45-14:50
Break

14:50-15:35
Combining observed and simulated data in comparing expected discounted pension benefits and contributions for cohorts born between 1910 and 1970
Nils Stolen (Statistics Norway)

15:35-15:40
Break

15:40-16:25
Economic insecurity: the role of job security, wage security, and social security. A microsimulation approach
Matteo Richiardi (joint with Patryk Bronka and Zhechun He) (CeMPA)

16:25-16:30
Conclusions
Matteo Richiardi (CeMPA)

ONLINE event
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Contact
dpopova@essex.ac.uk