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dc.contributor.authorIvan, Savin-
dc.contributor.authorMaria, Novitskaya-
dc.date.accessioned2023-04-13T03:37:50Z-
dc.date.available2023-04-13T03:37:50Z-
dc.date.issued2023-
dc.identifier.urihttps://link.springer.com/article/10.1007/s40821-023-00239-2-
dc.identifier.urihttps://dlib.phenikaa-uni.edu.vn/handle/PNK/7883-
dc.descriptionCC BYvi
dc.description.abstractThe phenomenon of fast-growing companies exhibiting sustained growth and creating disproportionally many new jobs, so-called “gazelles”, has been widely analyzed in the literature. The criteria defining “gazelles”, however, lack a consensus, while it cannot be ruled out that superior performance of these companies is just good luck. We use large firm-level datasets for Russia and Spain and conduct a Monte Carlo experiment with first-order Markov chains to derive a definition of “gazelle” companies and ensure that their existence cannot be explained by chance only.vi
dc.language.isoenvi
dc.publisherSpringervi
dc.subjectData-driven definitionsvi
dc.subjectapplication for Russia and Spainvi
dc.titleData-driven definitions of gazelle companies that rule out chance: application for Russia and Spainvi
dc.typeBookvi
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