May 12, 2022

Virtual Event

Virtual


Description

Presenter: Dr. Carolina Franco, Principal Statistician, NORC at the University of Chicago, USA

Small area estimation (SAE) techniques can lead to greatly improved estimates relative to direct survey estimates when there is a large number of domains of interest and a limited overall sample size, which is often the case in surveys. When successfully applied, SAE can dramatically reduce measures of uncertainty and provide estimates for domains with no survey data. It can allow for publishing of official estimates at lower levels of aggregation.  We will discuss the following topics: What is small area estimation (SAE)? What are the potential benefits of SAE? Examples of real applications of small area estimation; An introduction to area-level and unit-level models;; Discussion of frequently used software.


Featured Speakers

Speaker Dr. Carolina Franco
Dr. Carolina Franco is a Principal Statistician at NORC at the University of Chicago, specializing in small area estimation (SAE).  Prior to moving to NORC last year, Dr. Franco spent many several years doing research and consulting at the US Census Bureau, where she worked on important SAE programs used …

Dr. Carolina Franco is a Principal Statistician at NORC at the University of Chicago, specializing in small area estimation (SAE).  Prior to moving to NORC last year, Dr. Franco spent many several years doing research and consulting at the US Census Bureau, where she worked on important SAE programs used for the production of official statistics, including the Small Area Income and Poverty Estimates (SAIPE) Program, and the Voting Rights Act, Section 203 determinations.   She also has extensive experience giving seminars on SAE and has taught SAE through the Joint Program in Survey Methodology at the University of Maryland.   She has published several papers on different aspects of SAE.

Full Description



Organizer

Joint CIRS-Statistics Without Borders (SWB) webinar series


Date and Time

Thu, May 12, 2022

noon - 2 p.m.
(GMT-0400) US/Eastern

Location

Virtual Event

Virtual