Program and presentations for Summer School in Statistics 2023

9.00 Introduction

9.15 Correcting for measurement error
Keynote speaker: Ton de Waal, Statistics Netherlands and Tilburg University
Short introduction to multisource statistics
Correcting for measurement error

10.00 Break

10.15 Correcting for selectivity
Keynote speaker: Ton de Waal, Statistics Netherlands and Tilburg University
Correcting for selection error

11.00 Break

11.15 Combining estimates from probability and nonprobability samples
Keynote speaker: Ton de Waal, Statistics Netherlands and Tilburg University
Combining probability and nonprobability samples on an aggregated Level

12.00 Lunch

13.00 Latent mixed markov models for the production of population census data on employment
Speakers: Danila Filipponi, Italian National Institute of Statistics and Roberta Varriale, La Sapienza University in Rome
Latent Mixed Markov Models for the Production of Population Census Data on Employment

13.45 Break

14.00 The integration of educational attainment data from administrative and survey data
Speakers: Sander Scholtus and Jacco Daalmans, Statistics Netherlands
The integration of educational attainment data from administrative and survey data (part 1)
The integration of educational attainment data from administrative and survey data (part 2)

14.45 Break

15.00 Application related to Implementing and Adjusting a Non-probability Web Survey: Experiences of EVENs (Survey on the Impact of COVID19 on Ethnic Minorities in the United Kingdom)
Speaker: Natalie Shlomo, University of Manchester

15.45 Closing Remarks

16.00 Breakout rooms – Opportunity for further discussions with speakers