| 书目名称 | Convergence Clubs in Labor Productivity and its Proximate Sources |
| 副标题 | Evidence from Develo |
| 编辑 | Carlos Mendez |
| 视频video | |
| 概述 | 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 |
| 丛书名称 | SpringerBriefs in Economics |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2020 |
| 关键词 | Convergence Clubs; Labor Productivity; Physical Capital; Human Capital; Total Factor Productivity; Develo |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-15-8629-3 |
| isbn_softcover | 978-981-15-8628-6 |
| isbn_ebook | 978-981-15-8629-3Series ISSN 2191-5504 Series E-ISSN 2191-5512 |
| issn_series | 2191-5504 |
| copyright | The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020 |
发表于 2025-3-21 17:35:50
