Overview
- Studies some important issues in China’s labor market, such as rural labor migration, employment and wage discrimination, the new dual labor market, and economic returns on schooling
- Uses recent, representative data and advanced estimation models
- Presents intriguing new findings
Part of the book series: SpringerBriefs in Economics (BRIEFSECONOMICS)
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Table of contents (8 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Dr. Guifu CHEN is an Associate Professor of Economics at Xiamen University in China. He received his Ph.D. from Kobe University in Japan. His main concern is labor economics and macroeconomics. He has published many papers in refereed journals, such as China Economic Review, China & World Economy, and Journal of Asian Economics.
Dr. Shigeyuki HAMORI is a Professor of Economics at Kobe University in Japan. He received his Ph.D. from Duke University and has published more than 130 papers in refereed journals. He is the author or co-author of An Empirical Investigation of Stock markets: the CCF Approach (Kluwer Academic Publishers, 2003), Hidden Markov Models: Applications to Financial Economics (Springer, 2004), Empirical Techniques in Finance (Springer, 2005), and Introduction of the Euro and the Monetary Policy of the European Central Bank (World Scientific, 2009). He is also the editor of Global Linkages and Economic Rebalancing in East Asia (World Scientific, 2012).
Bibliographic Information
Book Title: Rural Labor Migration, Discrimination, and the New Dual Labor Market in China
Authors: Guifu Chen, Shigeyuki Hamori
Series Title: SpringerBriefs in Economics
DOI: https://doi.org/10.1007/978-3-642-41109-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Economics and Finance (R0)
Copyright Information: The Author(s) 2014
Softcover ISBN: 978-3-642-41108-3Published: 12 December 2013
eBook ISBN: 978-3-642-41109-0Published: 29 November 2013
Series ISSN: 2191-5504
Series E-ISSN: 2191-5512
Edition Number: 1
Number of Pages: X, 118
Number of Illustrations: 9 b/w illustrations
Topics: Labor Economics, Social Sciences, general, Statistics for Social Sciences, Humanities, Law