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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