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NIST GCR
02-830
Measuring the Impact of ATP-Funded Research Consortia on
Research Productivity of Participating Firms
A
Framework Using Both U.S. and Japanese Data
Prepared
for
Economic Assessment Office
Advanced Technology Program
National Institute of Standards and Technology
Gaithersburg, MD 20899-4710
By
Mariko
Sakakibara
Anderson Graduate School of Management
University of California, Los Angeles
and
Lee Branstetter
Columbia Business School
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Grant
56SBNB760338
November 2002
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Abstract
Acknowledgments
Executive
Summary
- The Impact of Consortia
Participation on the Overall Research Productivity of Firms
- The Impact of Participation
at the Consortium Level
- The Impact of Consortia
Participation on Firm-Consortium Pairs
- Additional Work Using
Japanese Data
- Results and Implications
- Limitations of the
Study and Issues for Further Analysis
- Database Construction
1. Introduction
2. Brief
Background of Study
3. Overall
Benefits from Research Consortia
- Methodology
- Data
- Results
- Implications
4. Effects
of Consortium Characteristics on Consortium Performance
- Methodology
- Dependent Variable
- Independent Variables
- Model
- Results
- Implications
5. Firm
Characteristics and Outcomes
- Methodology
- Results
- Implications
6. Lessons
from Japanese Data
- Time Path of Benefits
from Consortia
- Consortia Characteristics
- Caveats in Applying
Japanese Lessons to U.S. Consortia
7. Conclusions
and Issues for Future Research
Appendix:
Documentation of the Data
- Mapping Projects to
Patent Classes
- Data Construction
Description
References
Related
Reading
About
the Advanced Technology Program
About
the Authors
Figures
Figure 1. ATP-Funded Research Consortia,
Total Budget by Sector
Figure 2. Japanese R&D Consortia
Total Budget by Sector
Figure 3. Alternative Specifications
of the Time Path of Benefits from Japanese Data
Figure 4. Time Path of Benefits from
Japanese Data with Confidence Interval
Tables
Table 1. Summary Statistics for Non-Participants
and Participants of ATP-Funded Consortia
Table 2. Estimation of a Patent Production
Function: Overall Effect of Participation
Table 3. Consortium-Level Analysis
Table 4. Consortium-Level Analysis:
Qualitative Characteristics of Consortia
Table 5. Firm-Consortium Level Analysis
Table 6. Firm-Consortium Level Analysis:
Comparison of Poisson and OLS Regression Models
Table 7. Subsidiary-Consortium Level
Analysis
Table 8. Firm-Consortium Level Analysis
Using Japanese Data
Table A1. Mapping of Projects to Patent
Classes
Table A2. U.S. Projects and Firms in
Our Data Sets
Date created: January 24,
2003
Last updated:
August 2, 2005
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