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제목 [학술세미나] [학과세미나] 10월 26일(금) 11시 학과세미나 안내
작성일 2018-10-22 08:51:53
내용 [학과세미나] 10월 26일(금) 학과세미나 안내

▪제목 : Administrative Records for Survey Optimization
▪연사 : 전영일 (Mathematical Statistician for Decennial Directorate, U.S. Census Bureau)
▪일시 : 2018년 10월 26일(금) AM 11:00 – 12:00
▪장소 : 25동 405호
 
 
초 록
Administrative records have long been regarded as a way of supplementing and improving the quality and interpretability of survey statistics (Chun and Scheuren, 2011). Using administrative records may help control the rising cost of survey data collection and improve data quality. In this seminar, I will discuss fundamental issues of understanding administrative data, including their integration with sample surveys and censuses to provide information essential to official statistics. The seminar is intended to provide a review of foundation and the current state of the field in administrative records research and applications by leveraging a framework of "total administrative records error" and “total linked data error”. As such, the seminar will provide an overview of methodological issues involved in the collection and analysis of administrative records, such as data quality, cost, and data linking methodology. I will illustrate best practices and cutting-edge research on the use of administrative records over the survey life cycle, particularly with examples pertaining to the innovative use of administrative records over the 2020 U.S. Census life cycle, such as improvement in the address frame and reduction of nonresponse followup.
I will use “Administrative Records for Survey Methodology” (Edited by Chun et al., Forthcoming 2018) as a primary reference for this seminar. It is a forthcoming cutting-edge book published by Wiley, featuring leading scholars of administrative data across the Atlantic who discuss the following topics: theory and fundamentals of administrative data research and application, data quality of administrative data, administrative data processing and linking methodology, statistical use of administrative data in sample surveys and censuses, and interdisciplinary applications of administrative data for evidence building.
 
파일 세미나 안내_181026_전영일.hwp [15KB]