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Beschreibung
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.
Evidence from Developed and Developing Countries
Details
| Verlag | Springer Singapore |
| Ersterscheinung | 06. November 2020 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 137 Gramm |
| Format | Softcover |
| ISBN-13 | 9789811586286 |
| Auflage | 1st ed. 2020 |
| Seiten | 67 |