Item Infomation
Title: |
Data-driven definitions of gazelle companies that rule out chance: application for Russia and Spain |
Authors: |
Ivan, Savin Maria, Novitskaya |
Issue Date: |
2023 |
Publisher: |
Springer |
Abstract: |
The 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. |
Description: |
CC BY |
URI: |
https://link.springer.com/article/10.1007/s40821-023-00239-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7883 |
Appears in Collections |
OER - Kinh tế và Quản lý |
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