Skip to main content

Convergence Clubs in Labor Productivity and its Proximate Sources

Evidence from Developed and Developing Countries

  • Book
  • © 2020

Overview

  • Presents an updated empirical treatment on the issue of productivity convergence across countries
  • Provides a comparative view of developed and developing countries along multiple productivity-related variables
  • Includes data and Stata code to reproduce the main figures, tables, and analyses of the book

Part of the book series: SpringerBriefs in Economics (BRIEFSECONOMICS)

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (7 chapters)

Keywords

About this book

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.

Authors and Affiliations

  • Graduate School of International Development (GSID), Nagoya University, Nagoya-shi, Japan

    Carlos Mendez

About the author

Carlos Mendez is an associate professor of development economics at the Graduate School of International Development (GSID) in Nagoya University, Japan.  He is also the founder and director of the Quantitative Regional and Computational Science Lab (QuaRCS-lab). He has worked as a consultant for Pro-Mujer International, The World Bank, DANIDA, and JICA. He holds an M.A. and a Ph.D. in international development from Nagoya University. His research interests focus on the integration of econometrics, spatial data science, and machine learning methods to understand and inform the process of economic growth and development. In particular, his current research is in (1) the quantitative geography of development and inequality; (2) economic growth and convergence; (3) regional labor market outcomes and macroeconomic shocks; and (4) structural change and firm productivity dynamics.

 

Bibliographic Information

Publish with us