Econometrics Methods for Labour Economics

This book provides an accessible presentation of the standard statistical techniques used by labor economists. It emphasises both the input and the output of empirical analysis and covers five major topics concerning econometric methods used in labor economics: regression and related methods,
choice modelling, selectivity issues, duration analysis, and policy evaluation techniques. Each of these is presented in terms of model specification, possible estimation problems, diagnostic checking, and interpretation of the output. It aims to provide guidance to practitioners on how to use the
techniques and how to make sense of the results that are produced. It covers methods that are considered to be standard tools in labor economics, but which are often given only a brief and highly technical treatment in econometrics textbooks.

It will be a useful reference for postgraduates and advanced undergraduates, researchers embarking on empirical labor market analysis, and for more experienced economists wishing to apply these techniques for the first time.


Author: Stephen Bazen
Publisher: Oxford University Press, USA
Published: 11/07/2011
Pages: 160
Binding Type: Hardcover
Weight: 0.85lbs
Size: 9.30h x 6.10w x 0.60d
ISBN: 9780199576791

About the Author

Stephen Bazen gained his PhD from the London School of Economics. Previously, he was Lecturer at the University of Kent and Professor at Universite de Bordeaux IV and Universite de Savoie. He has been Visiting Professor at the universities of Paris Pantheon-Assas, Cattolica Milan, and Geneva, and has taught econometrics and labour economics at all levels over the past 25 years. He has written numerous research articles on minimum wages, labour market flexibility, and inequality and is the author of several books including Labour Market Inequalities: Low-wage Employment in a European Perspective (edited with M. Gregory and W. Salverda, OUP, 2000), and Econometrie: des fondements a la modelisation (with M. Sabatier, Editions Vuibert, 2007).

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