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Collaborative networks and technology clusters : the case of nanowire
Ozcan, Sercan; Islam, Nazrul - In: Technological forecasting & social change : an … 82 (2014), pp. 115-131
Persistent link: https://www.econbiz.de/10010404611
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Randomization inference for difference-in-differences with few treated clusters
MacKinnon, James G.; Webb, Matthew - In: Journal of econometrics 218 (2020) 2, pp. 435-450
Persistent link: https://www.econbiz.de/10012483166
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Asymptotic theory and wild bootstrap inference with clustered errors
Djogbenou, Antoine A.; MacKinnon, James G.; Nielsen, … - In: Journal of econometrics 212 (2019) 2, pp. 393-412
Persistent link: https://www.econbiz.de/10012304028
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Establishing open innovation culture in cluster initiatives : the role of trust and information asymmetry
Nestle, Volker; Täube, Florian; Heidenreich, Sven; … - In: Technological forecasting & social change : an … 146 (2019), pp. 563-572
Persistent link: https://www.econbiz.de/10012135224
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Cluster-robust inference : a guide to empirical practice
MacKinnon, James G.; Nielsen, Morten Ørregaard; Webb, … - In: Journal of econometrics 232 (2023) 2, pp. 272-299
Persistent link: https://www.econbiz.de/10014339912
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Testing for the appropriate level of clustering in linear regression models
MacKinnon, James G.; Nielsen, Morten Ørregaard; Webb, … - In: Journal of econometrics 235 (2023) 2, pp. 2027-2056
Persistent link: https://www.econbiz.de/10014471443
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A hybrid recommendation model for successful R&D collaboration : mixing machine learning and discriminant analysis
Jun, Seung-Pyo; Yoo, Hyoung Sun; Hwang, Jeena - In: Technological forecasting & social change : an … 170 (2021), pp. 1-18
Persistent link: https://www.econbiz.de/10012806100