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.
ISBN: | 9789811586286 |
Publication date: | 6th November 2020 |
Author: | Carlos Mendez |
Publisher: | Springer Verlag, Singapore |
Format: | Paperback |
Pagination: | 67 pages |
Series: | SpringerBriefs in Economics |
Genres: |
Economic growth Development economics and emerging economies Monetary economics Mathematical and statistical software Probability and statistics |