Książki

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: Evidence from Developed and Developing Countries

1.       Introduction

2.       The Data: Productivity and Capital Differences across Countries and over Time

3.       Two Complementary Frameworks to Study Convergence Clubs

4.       Convergence Clubs in Labor Productivity

5.       Convergence Clubs in Physical and Human Capital

7.       Accounting for Convergence Clubs

8.       Conclusion