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  • Search: subject:"R&D data"
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Year of publication
Subject
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R&D data 1 Science 1 Technology and Innovation (STI) R&D Data Indicators Economic Measurement Statistics 1 clustering 1 forecast 1 missing data 1 nowcast 1 panel data 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 1 Book / Working Paper 1
Language
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Undetermined 2
Author
All
Freeman, Christopher 1 MOUCHART, Michel 1 ROMBOUTS, Jeroen 1 Soete, Luc 1
Institution
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Center for Operations Research and Econometrics (CORE), École des Sciences Économiques de Louvain 1
Published in...
All
CORE Discussion Papers 1 Research Policy 1
Source
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RePEc 2
Showing 1 - 2 of 2
Cover Image
Clustered panel data models: an efficient approach for nowcasting from poor data
MOUCHART, Michel; ROMBOUTS, Jeroen - Center for Operations Research and Econometrics (CORE), … - 2003
Nowcasting regards the inference on the present realization of random variables, on the basis of information available until a recent past. This paper proposes a modelling strategy aimed at a best use of the data for nowcasting based on panel data with severe deficiencies, namely short times...
Persistent link: https://www.econbiz.de/10005008511
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Cover Image
Developing science, technology and innovation indicators: What we can learn from the past
Freeman, Christopher; Soete, Luc - In: Research Policy 38 (2009) 4, pp. 583-589
The science-technology-innovation system is one that is continuously and rapidly evolving. The dramatic growth over the last 20 years in the use of science, technology and innovation (STI) indicators appears first and foremost to be the result of a combination of, on the one hand, the ease of...
Persistent link: https://www.econbiz.de/10005351207
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