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Activity Number: 123
Type: Topic Contributed
Date/Time: Monday, July 30, 2012 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #304732
Title: Energy Consumption Surveys: Re-Energizing for an Energy- and Data-Dependent Society
Author(s): Michael L. Cohen*+ and Thomas Leckey and Eileen O'Brien*+ and William F. Eddy*+ and Jack G. Gambino*+ and Nancy Kirkendall*+
Companies: Carnegie Mellon University and Committee on National Statistics and National Academy of Sciences and Statistics Canada and U.S. Energy Information Administration
Address: Keck Center Room 1135, Washington, DC, , USA 1000 Independence Avenue, SW, Washington, DC, 20585, USA , Pittsburgh, PA, 15213, Informatics and Methodology Field, Methodology Branch, Ottawa, ON, K1A 0T6, Division of Behavioral and Social Sciences and Education, Washington, DC, 20001,
Keywords: Committee on National Statistics (CNSTAT) ; Commercial Buildings Energy Consumption Survey (CBECS) ; Residential Energy Consumption Survey (RECS) ; multi-frame ; area probability ; multi-mode

The National Academy of Sciences' Committee on National Statistics (CNSTAT) has concluded a 30-month study of the Commercial Buildings Energy Consumption Survey (CBECS) and the Residential Energy Consumption Survey (RECS). The Committee has considered "how to improve data quality, geographic coverage, timeliness of data releases, and relevance of the data for meeting user needs for energy end use information" in this decade and beyond. The RECS and CBECS currently rely on complex multiple-frame area probability sample designs, in-person Blaise-CAPI enumerations of building or housing unit energy and occupant characteristics, and follow-on multi-mode surveys with energy companies to collect consumption and expenditures for sampled units. The panel discusses topics of growing relevance to a JSM audience, including survey design, frequency, and scope alternatives, as well as survey practice and operations. This session brings broad perspectives and deep insights to survey methodology for complex topics such as energy, applicable to any program that must optimize multiple designs, frames, modes and tools in an increasingly challenging operational and budget framework.

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