1 / 16

27 th Voorburg Group Meeting Warsaw, Poland Operational Efficiency Strategies Session

27 th Voorburg Group Meeting Warsaw, Poland Operational Efficiency Strategies Session (Survey Design Considerations for Supporting Industry-by-Product Estimates for the Service Annual Survey). presented by Mark E. Wallace Chief, Service Sector Statistics Division U.S. Census Bureau

pierce
Download Presentation

27 th Voorburg Group Meeting Warsaw, Poland Operational Efficiency Strategies Session

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 27th Voorburg Group Meeting Warsaw, Poland Operational Efficiency Strategies Session (Survey Design Considerations for Supporting Industry-by-Product Estimates for the Service Annual Survey) presented by Mark E. Wallace Chief, Service Sector Statistics Division U.S. Census Bureau mark.e.wallace@census.gov October 1–5, 2012

  2. Agenda • Introduction, Background, and Challenge • Meeting the Challenge - 3 Different Phases • Outcome • Conclusion and Next Steps • Questions

  3. Introduction, Background, and Challenge • Requests for industry-by-product detail for service industries since the 1980s, primarily from the Bureau of Economic Analysis (BEA) • The 2007 Economic Census included the first-time collection of a rich variety of service industry-by-product detail • Expansion of industry coverage in the SAS (began for 2009 and expanded industry-by-product coverage began for 2011) • Pre-expansion and Post-expansion service industries in the Service Annual Survey

  4. Pre-Expansion and Post-Expansion Service Industries in the Service Annual Survey

  5. Pre-Expansion and Post-Expansion Service Industries in the Service Annual Survey (continued) Total of Pre-expansion NAICS (30% of GDP) and Post-expansion NAICS (25% of GDP) = 55% of GDP

  6. Introduction, Background, and Challenge (continued) • It was necessary for the Census Bureau and BEA to determine priorities for specific industry-by-product combinations due to the availability of limited resources • Sample selection for prior SAS samples (e.g., 2000, 2006) did not account for industry-by-product combinations, resulting in: • High CVs • High imputation rates • 2007 Economic Census included 2,000 new products across more than 350 service industries and would serve as important input into developing potentially collectable and publishable industry-by-product combinations for the 2011 SAS onward • Funding for current service expansion received in 2009 made it possible to carry out the expansion • New sample for SAS selected for 2011 data year, with work beginning in 2009

  7. Introduction, Background, & Challenge (continued) • Design a sample that will meet target CVs • For the first time use product CVs in the sample design • Design a sample for products & industries never collected in the SAS • Limit sample size to approximately 70,000 units to accommodate resource and funding constraints

  8. Meeting the Challenge3 Distinct Phases Phase 1: Working with BEA to get initial list of industry-by-product priorities prior to feasibility research Phase 2: Researching the feasibility of BEA’s industry-by-product priorities Phase 3: Working with BEA to get a final list of industry-by-product priorities

  9. Meeting the Challenge (continued)Phase 1-Working with BEA to Get Initial List of Industry-by-Product Priorities Prior to Feasibility Research • Obtaining a list of industry-by-product combinations BEA was requesting for the pre-expansion industries and for the post-expansion industries • Initially, obtained additional industry-by-product combinations without identifying any existing industry-by-product combinations that could be eliminated from the SAS forms (due to non-reportability, high coefficients of variation, high imputation rates, or lack of economic significance-not enough companies could report a specific product) • Begin focus on pre-expansion industry-by-product combinations, and determine whether they would require additional sampling units (for those that had CVs higher than 20%) • See Attachment B of paper for the industry-by-product combinations identified during Phase 1 for the pre-expansion industries, along with an indication of whether they would require additional sampling units

  10. Excerpt of Attachment B from Paper: Industry-by-Product Combinations Identified During Phase 1 for NAICS 51721, Wireless Telecommunications Carriers (except Satellite)

  11. Meeting the ChallengePhase 2 – Researching the Feasibility of BEA’s Industry-by-Product Priorities • Researching reportabilityof products for pre-expansion industries (e.g., contacting companies for record keeping and reporting practices • Using industry-by-product data from the Economic Census • Using prior (2005-2008) SAS estimates for pre-expansion industries • See Attachment C of paper for the industry-by-product combinations previously identified by BEA in Phase 1 (see Attachment B) that were subsequently designated to be dropped • Examining products for post-expansion industries • See Attachment D of paper for industry-by-product combinations that could be added for post-expansion industries without requiring additional sampling units

  12. Meeting the ChallengePhase 3 – Working with BEA to Get a Final List of Industry-by-Product Priorities • Discuss results of Phase 1 and Phase 2 with BEA • Present “Cost” of pre-expansion industry-by-product combinations where sample size would need to increase • Provide a mechanism for BEA to prioritize industry-by-product combinations to be included in the Service Annual Survey • See Attachment E of paper for the spreadsheet tool provided to BEA by the Census Bureau for prioritizing industry-by-product combinations to be included in the Service Annual Survey

  13. Phase 3 - Mechanism for BEA Making Selections

  14. Outcome • BEA’s choices resulted in being 1150 sampling units under budget • Extra available sampling units allowed us to expand the sample size for a few health industries, resulting in the Center for Medicare and Medicaid Studies receiving estimates of source of funding for additional industries

  15. Conclusion and Next Steps • The 2012 Business Sample Revision achieved its goal of considering industry-by-product combinations in the design of the SAS sample • A carefully planned and implemented three-phase approach produced an outcome that maximized the usefulness of SAS industry-by-product data for BEA, while maintaining sustainable workload and resource levels • Next steps will be to: • Evaluate the results of the 2011 SAS • For expansion industries, determine what possible additional industry level estimates to provide to BEA • Make necessary adjustments to future SAS forms based on: • Ongoing BEA needs • Reporting issues • Consistency with the Economic Census products • Sample size & burden considerations • Research how to incorporate the 2012 Economic Census results into future sample designs

  16. Questions

More Related