Introductory Overview Lecture on Methods of Estimation for Complex Surveys, Part II

• Activity Number: 263
• Type: Invited
• Date/Time: Tuesday, August 5, 2014 : 8:30 AM to 10:20 AM
• Sponsor: ASA
• Author(s): David Haziza*+
• Companies: Université de Montréal
• Keywords: design-based estimation ; nonresponse ; analytic inference ; calibration ; weighting ; influential units

Abstract

Survey data often arise from the efforts of institutions (like government agencies) to describe characteristics of a heterogeneous population in a cost-effective way. Typically, institutions use complex surveys with stratification, clustering, and unequal probabilities, and use various weighting adjustments to account for nonresponse and to calibrate to external data sources. This introductory overview lecture is presented in two parts. Part I describes the basics of design and model-assisted estimation for complex surveys, including introduction to regression estimation, calibration, and analytic inference. This second part of the overview lecture will introduce adjustment procedures for treating unit and item nonresponse. Part II will also address the problem of influential units in complex surveys.