Date(s) - 29/03/2022
2:00 pm - 3:30 pm
Category(ies) No Categories
All are invited to the webinar, organised by the International Association for Survey Statisticians.
Please register for the IASS Webinar at:
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.
Even though there is substantial literature on studies that pool survey data, it is still not clear which are the most efficient methodologies and sampling designs for combining data from different surveys. For example, it is important to know whether the estimates from the different surveys involved should be given equal weights in the calculation of the combined statistics or not. If they are not given equal importance, then it should be clear how they should be weighted and why. In this paper, current and proposed methods considered to combine survey data are evaluated through simulation, in the context of simple random sampling, stratified random sampling and two stage cluster random sampling from finite populations generated from a normal distribution super-population model. Simulation results suggest superpopulation variance does not influence the choice of weighting method. However, the population size appears to influence this choice. Combining samples improved the precision of estimates regardless of weighting method used for data collected under all considered sampling techniques, with stratified sampling being more precise than simple random sampling and two stage random cluster sampling.
Marcel de Toledo Vieira, born in 1976 and winner of the 2007 Cochran-Hansen Prize of the International Association of Survey Statisticians (IASS), is currently Associate Professor of Statistics, at the Department of Statistics of the Federal University of Juiz de Fora, in Brazil. He has been a member of the IASS since 2007 (Council Member between 2011 and 2015) and was elected Member of the International Statistical Institute in 2013. He took his PhD in Statistics under the supervision of Professor Chris Skinner on the Analysis of Complex Longitudinal Survey Data (University of Southampton, 2005), and has been teaching sampling design and survey methodology courses since 2006. He has designed several national and international surveys. Marcel is currently a member of several committees, including the Brazilian Census 2020/2021 Advisory Committee of the Brazilian National Official Statistics Agency (IBGE), and the Survey Sampling Methodology Advisory Committee of the Brazilian National Institute for Educational Studies and Research (INEP). He was recently appointed by the OECD as the Sampling Referee for the Programme for International Student Assessment (PISA). He has published articles in peer-reviewed journals, including the Survey Methodology Journal and the Journal of Official Statistics, is an Associate Researcher at the Centre for Mathematics Applied to Forecasting and Economic Decision (CEMAPRE) of the University of Lisbon, and has been an academic visitor or visiting professor in institutions in different countries, including the United Kingdom, Portugal, South Africa, and Mozambique