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Testing for economic convergence across countries has been a central issue in the literature of economic growth and development. This book introduces a modern framework to study the cross-country convergence dynamics in labor productivity and its proximate sources: capital accumulation and aggregate efficiency. In particular, recent convergence dynamics of developed as well as developing countries are evaluated through the lens of a non-linear dynamic factor model and a clustering algorithm for panel data. This framework allows us to examine key economic phenomena such as technological heterogeneity and multiple equilibria. In this context, the book provides a succinct review of the recent club convergence literature, a comparative view of developed and developing countries, and a tutorial on how to implement the club convergence framework in the statistical software Stata.
| Autorius: | Carlos Mendez |
| Serija: | SpringerBriefs in Economics |
| Leidėjas: | Springer Nature Singapore |
| Išleidimo metai: | 2020 |
| Knygos puslapių skaičius: | 80 |
| ISBN-10: | 9811586284 |
| ISBN-13: | 9789811586286 |
| Formatas: | 235 x 155 x 5 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Convergence Clubs in Labor Productivity and its Proximate Sources: Evidence from Developed and Developing Countries“
