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Classification of potential electric vehicle purchasers : a machine learning approach
Bas, Javier; Cirillo, Cinzia; Cherchi, Elisabetta - In: Technological forecasting & social change : an … 168 (2021), pp. 1-13
Persistent link: https://www.econbiz.de/10012802145
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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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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