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Sole Source: Support of MPE for the National Survey of College Graduates (NSCG)

General Information

Document Type:SNOTE
Posted Date:Sep 07, 2017
Category: Professional, Administrative and Management Support Services
Set Aside:N/A

Contracting Office Address

Department of Commerce, U. S. Census Bureau, Suitland, Acquisition Division, Room 3J438, Washington, District of Columbia, 20233

Description

Under the Authority of Federal Acquisition Regulations, Part 6, Subparts 6.301 and 6.302, The U.S. Census Bureau intends to contract with Dr. F. Jay Breidt, on a sole source basis to provide support for multiple panel estimateion for the National Survey of College Graduates (NSCG). The NSCG independently selects samples from multiple sampling frames each based on the American Community Survey (ACS). To combine the information from these frames, steps must be taken to identify the overlap among these frames and to adjust the surveys weights in response to the overlap. This task involves conducting research to determine an appropriate multiple frame estimation and variance methodology approach for use in future cycles of the NSCG. Multiple frame estimation can be handled by a range of methods, with different data requirements and varying estimation efficiencies. Existing methods will be evaluated for their suitability in ACS-NSCG context, and if needed, adapted specifically for NSCG. One closely related topic is the development of appropriate variance estimators that fully account for the multiple frame estimation and their implementation within the existing Successive Difference Replication framework used at the Census Bureau. Dr. Jean Opsomer is Professor and Past Chair in the Department of Statistics at Colorado State University. He has published extensively in the peer-reviewed statistical literature on survey topics and obtained several grants from the National Science Foundation related to statistical survey estimation and inference. He has served on four National Academies of Sciences panels, including one reviewing the USDAs Agriculture Resource Management Survey and another on using ACS data to estimate traffic flows for the Department of Transportation. Dr. Opsomer is a Fellow of the American Statistical Association and of the Institute of Mathematical Statistics, and an Elected Member of the International Statistical Institute. He has had contracts with several federal statistical agencies to evaluate and enhance their survey design and estimation procedures, including with NOAA National Marine Fisheries Service on the redesign of the Marine Recreational Information Program, with Census Bureau on estimation methods for the National Survey of College Graduates and with the National Science Foundation on the redesign of the Survey of Doctoral Recipients. He has also been involved in design and estimation projects for the USDAs National Resources Inventory and Forest Inventory and Analysis programs. In 2010, Dr. Opsomer provided consultation on the development of the current NSCG multiple panel estimator. In addition, Dr. Opsomer has been involved in research on other NSCG estimation topics including variance estimation in a two-phase sample design setting and the development of a reduced-variance estimator. He has published several articles on successive difference replication variance estimation with direct applications to NSCG. Since Dr. Opsomer has conducted research and published articles on the successive difference replication variance methodology, including work on the NSCGs variance methodology under a two-phase sample design setting, he is uniquely qualified to evaluate the variance impact of any proposed multiple frame estimator for the NSCG. Furthermore, his efforts to establish the current NSCG variance methodology provide him with the necessary background to conduct this research on the NSCGs multiple frame estimation and variance methodology approach. The period of performance for this requirement is Date of Award through a period of six (6) months. Any response to this notice must show clear and convincing evidence that competition would be advantageous to the Government. In doing so, interested sources must submit technical capabilities must be submitted to Lisa Safewright at email address lisa.r.safewright@census.gov by September 12, 2017. This notice is not to be considered a request for quotations or proposals. No contract will be awarded on the basis of offers received in response to this notice, but offers will be used to determine if a comparable source is available and more advantageous to the Government. If no affirmative written response is received within 15 days from the publication of this synopsis, a contract will be issued to Dr. Jean Opsomer withour further notice.

Original Point of Contact

POC Lisa R Safewright,

Place of Performance

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