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160 * ! Tue, 8/10/2021, 10:00 AM - 11:50 AM Virtual
Time Series Methodology: Modern Practices in Seasonal Adjustment and Software — Topic-Contributed Papers
Section for Statistical Programmers and Analysts, Government Statistics Section, Business and Economic Statistics Section
Organizer(s): James A Livsey, U. S. Census Bureau
Chair(s): Vladas Pipiras, University of North Carolina at Chapel Hill
10:05 AM Adapting the Seasonal Adjustment of Local Area Unemployment Statistics to the COVID-19 Pandemic
Richard Tiller, Bureau of Labor Statistics; Jennifer Oh, Bureau of Labor Statistics; Lizhi Liu, Bureau of Labor Statistics
10:25 AM New Seasonal Adjustment and Signal Extraction Methods in the Manufacturers’ Shipments, Inventories, and Orders (M3) Survey
James A Livsey, U. S. Census Bureau; Colt Viehdorfer, US Census Bureau
10:45 AM Toward a New Paradigm for Scanner Data Price Indices: Applying Big Data Techniques to Big Data
Jens Mehrhoff, Deutsche Bundesbank
11:05 AM Recent Advances in Count Time Series Models
Stefanos Kechagias, SAS Institute; Vladas Pipiras, University of North Carolina at Chapel Hill; James A Livsey, U. S. Census Bureau; Robert Lund, UC Santa Cruz; Yisu Jia, University of North Florida
11:25 AM Review of Available Programs for Seasonal Adjustment of Weekly Data
Thomas Evans, Bureau of Labor Statistics; Brian C Monsell, U.S. Bureau of Labor Statistics; Michael Sverchkov, Bureau of Labor Statistics
11:45 AM Floor Discussion