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The prioritization and verification of IT emerging technologies using an analytic hierarchy process and cluster analysis
Lee, Sangjae; Kim, Wanki; Kim, Youngmin; Lee, Hyoung Yong; … - In: Technological forecasting & social change : an … 87 (2014), pp. 292-304
Persistent link: https://www.econbiz.de/10010481289
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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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A robust procedure to build dynamic factor models with cluster structure
Alonso, Andrés M.; Galeano, Pedro; Peña, Daniel - In: Journal of econometrics 216 (2020) 1, pp. 35-52
Persistent link: https://www.econbiz.de/10012439635
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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