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 |
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.
Convergence Clubs in Labor Productivity and its Proximate Sources features in the following genres: Economic growth, Development economics and emerging economies, Monetary economics, Mathematical and statistical software, Probability and statistics
Convergence Clubs in Labor Productivity and its Proximate Sources is available in Paperback
Convergence Clubs in Labor Productivity and its Proximate Sources was written by Carlos Mendez and published by Springer Verlag, Singapore
Convergence Clubs in Labor Productivity and its Proximate Sources has 67 pages
Yes it is part of SpringerBriefs in Economics series
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