Date: April 25, 2022
Time: 8:00 AM – 4:00 PM
Venue: National Bank of Poland, Regional Branch in Kraków, 20 Basztowa Street
Target group: Any interested in the course who has registered to participate in the Conference
How to register:
The number of participants is limited. Participation has to be confirmed by the organizers.
All persons interested in taking part in the course are therefore kindly requested to inform Ms. Ewa Bandurska at email@example.com.
Dr. Partha Lahiri
Professor and Director
Joint Program in Survey Methodology
Professor, Department of Mathematics
University of Maryland, College Park, USA
The demand for various socio-economic and health statistics for small geographical areas is steadily increasing at a time when survey agencies are desperately looking for ways to reduce costs to meet fixed budgetary requirements. In the current survey environment, the application of standard sample survey methods for small areas, which require a large sample, is generally not feasible when considering the costs. One of the key factors that led to the success of small area estimation (SAE) methodology is the availability of strong auxiliary variables. The accessibility of Big Data from different sources (e.g., administrative/register records, social media data, mobile phone data, sensor data, satellite date, etc.) is now bringing new opportunities for statisticians to develop innovative SAE methods. We will begin the course by presenting a brief history of small area estimation, basic concepts and issues. Then we will discuss two widely used small area models and related estimation methods for producing small area estimates. We will demonstrate the utility of SAE methodology using a real-life data example. Active participation from the attendees will be strongly encouraged.
About the Instructor:
Partha Lahiri is a Professor in the Joint Program in Survey Methodology (JPSM) and in the Department of Mathematics at the University of Maryland, College. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. Professor Lahiri is the recipient of the 2020 SAE award for his outstanding contribution to the research, application, and education of small area estimation (SAE).
08:00 – 08:30 Registration
08:30 – 09:00 Welcome by the IAOS President and the President of Statistics Poland
09:00 – 10:00 Introduction to SAE
10:00 – 10:15 Coffee break
10:15 – 11:15 Area Level Modeling
11:15 – 11:30 Coffee break
11:30 – 12:30 Unit Level Modeling
12:30 – 14:30 Lunch break
14:30 – 16:30 Data Analysis and Discussion