Date(s) - 31/08/2022
2:00 pm - 3:30 pm
Category(ies) No Categories
IASS Webinar 20: Adjusting for Selection Bias in the Voluntary Sample of the 2021 Lithuanian Census
31 August 2022 at 2pm – 3:30pm (CET)
All are invited to the webinar, organised by the International Association for Survey Statisticians.
Please register for the IASS Webinar here:
After registering, you will receive a confirmation email containing information about joining the webinar. There will be time for questions. The webinar will be recorded and made available on the IASS and ISI web site. See below for the abstract and biography of the speakers.
The sample of the Statistical survey on population by ethnicity, native language and religion 2021 consists of the voluntary sample and the probability sample drawn from the rest of the census population. A natural post-stratified calibrated estimator underestimates minor religions and other small proportions of interest. Alternatively, to correct the selection bias of estimates based on the non-probability sample, we fit a model for propensity scores using the demographic and socioeconomic data and information from the previous complete census. Then we combine the inverse probability weighted and doubly robust estimators with post-stratified calibrated estimators. The total sample size of the survey is not sufficient to derive accurate direct estimates of the proportions in small domains like municipalities. We apply robust design-based composite estimators which exploit domain-level information on the study variables from the previous census.
Andrius Čiginas holds a Ph.D. in Mathematics from Vilnius University, where he is currently a researcher at the Institute of Data Science and Digital Technologies. Andrius also works in the Data Technology Development Group at Statistics Lithuania. His research interests are small area estimation and data integration for official statistics.
Ieva Burakauskaitė graduated from Vilnius University with a bachelor’s degree in Mathematics. After joining the Methodology and Quality Division at Statistics Lithuania, Ieva continued her studies at Vilnius Gediminas Technical University and graduated with a master’s degree in Statistics. Ieva is currently working with Big data integration and small area estimation in the Data Technology Development Group at Statistics Lithuania.