Convergence Clubs in Labor Productivity and its Proximate Sources - Evidence from Developed and Developing Countries (Paperback, 1st ed. 2020)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	SpringerBriefs in Economics
Release date:	November 2020
First published:	2020
Authors:	Carlos Mendez
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	67
Edition:	1st ed. 2020
ISBN-13:	978-981-15-8628-6
Categories:	Books > Business & Economics > Economics > Development economics Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Economics > Macroeconomics > General Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Promotions
LSN:	981-15-8628-4
Barcode:	9789811586286

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