Understanding Society Scientific Conference 2019

July 2nd - July 4th
University of Essex


26 Sessions

83 Speakers

94 Papers


An international conference sharing research based on longitudinal household panel studies.

Day 1

  • Employment and family
  • Political socialisation
  • Technology and well-being across the lifecourse
  • Understanding Society methods research
  • Income, employment and gender
  • Sampling, consent and retention
  • Workshop: Undertaking transparent and reproducible longitudinal data analysis
  • Workshop: Collaborating with Government

Day 2

  • Workshop: Introduction to CNEF
  • Employment and earnings
  • Understanding Brexit
  • Alternative data collection methods
  • Data consultation
  • Workshop: Introduction to CNEF
  • Partnership and employment
  • Education
  • Geography, jobs and debt
  • Ethnicity and migration
  • Role of public policies
  • Intergenerational shifts
  • Funding opportunities for Understanding Society research

Day 3

  • Neighbourhood research symposium
  • Jobs, wealth and income mobility
  • Understanding Society Policy Fellowships: building evidence for policy
  • Biomarkers and genetics
  • ESRC Data Infrastructure: maximising opportunities within the new UKRI research funding landscape
  • Event history analyses
  • Response options
  • Well-being
  • Workshop: Panel|Whiz
  • Nonresponse and representativeness (Understanding Society Methods Fellows)


Using weights in Understanding Society

How, why and when should you use weights when doing analysis with Understanding Society? This workshop will explain how weights are created, how to select the best weight for your analyses and how to create tailored weights for bespoke analysis.

Panel data econometrics using Understanding Society

In this introductory course, practical applications of panel data econometric methods will be illustrated using data from Understanding Society. There will be a strong emphasis on applied work, illustrating the use of relevant computer software with code provided for Stata.