Ebook: Convergence Clubs in Labor Productivity and its Proximate Sources: Evidence from Developed and Developing Countries
Author: Carlos Mendez
- Tags: Economics, Economic Growth, Development Economics, Economy-wide Country Studies, Macroeconomics/Monetary Economics//Financial Economics, Statistics and Computing/Statistics Programs, Applied Statistics
- Series: SpringerBriefs in Economics
- Year: 2020
- Publisher: Springer Singapore
- Edition: 1st ed.
- Language: English
- pdf
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.