JSM 2004 - Toronto

Abstract #300727

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Activity Number: 79
Type: Contributed
Date/Time: Monday, August 9, 2004 : 8:30 AM to 10:20 AM
Sponsor: General Methodology
Abstract - #300727
Title: A Hybrid Estimation Approach to State-level Estimates in the Survey of Industrial Research & Development
Author(s): John G. Slanta*+ and Jeri M. Mulrow
Companies: U.S. Census Bureau and National Science Foundation
Address: Room 2225 Building 4, Washington , DC, 20233,
Keywords: small-area estimates ; synthetic estimates ; model-based estimates
Abstract:

The Census Bureau annually conducts the company-based Survey of Industrial Research and Development (R&D) in conjunction with the National Science Foundation (NSF). The survey provides national data on the amount of basic and applied research and development conducted within the United States. In addition, state-level estimates of industrial R&D are of great interest. It is estimated that between 2% and 5% of all U.S.-based companies perform R&D. A new national sample is selected each year and stability across years in the state estimates is a concern given the rare event nature of R&D. This paper explores the use of an estimator that is a hybrid between a design-based and a model-based estimate that also meets constraints required for data publication. This paper will present the estimation and variance estimation methodologies and show results from the survey.

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