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Econometric Methods for Labour Economics

Author

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  • Bazen, Stephen

    (Professor of Applied Econometrics, GREQAM, Universite de la Mediterranee (Aix-Marseille II))

Abstract

This book provides an accessible presentation of the standard statistical techniques used by labour economists. It emphasises both the input and the output of empirical analysis and covers five major topics concerning econometric methods used in labour 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 labour 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 labour market analysis, and for more experienced economists wishing to apply these techniques for the first time.

Suggested Citation

  • Bazen, Stephen, 2011. "Econometric Methods for Labour Economics," OUP Catalogue, Oxford University Press, number 9780199576791.
    • Handle: RePEc:oxp:obooks:9780199576791
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    Cited by:

    1. Ian G. Cahill & Michael Gager, 2014. "Explaining Canadian Regional Wage Relativities," The Review of Regional Studies, Southern Regional Science Association, vol. 44(2), pages 125-152, Summer.
    2. Michel Lubrano & Abdoul Aziz Junior Ndoye, 2014. "Bayesian Unconditional Quantile Regression: An Analysis of Recent Expansions in Wage Structure and Earnings Inequality in the US 1992–2009," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(2), pages 129-153, May.
    3. Francesca Ceccato & Marilena Angela Ciarallo & Paola Conigliaro, 2022. "Exploring earnings differences hidden behind the gender pay gap," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 76(1), pages 68-78, January-M.
    4. David L. Schaffer & Joseph M. Westenberg, 2019. "Time Flexibility, Women’s Wages, and the Gender Wage Gap," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(2), pages 217-239, June.
    5. Merike Kukk, 2014. "Distinguishing the components of household financial wealth: the impact of liabilities on assets in Euro Area countries," Bank of Estonia Working Papers wp2014-2, Bank of Estonia, revised 10 Oct 2014.
    6. Rodríguez Núñez, Juan Bautista & Guerra Salazar, Isaac Enmanuel, 2019. "Una Aplicación de la Descomposición Blinder–Oaxaca junto a regresiones por cuantiles de influencia recentrada al sector formal e informal y sus determinantes [An Application of the Blinder–Oaxaca D," MPRA Paper 115683, University Library of Munich, Germany.
    7. Liina Malk, 2013. "Relaxation of employment protection and its effects on labour reallocation," Bank of Estonia Working Papers wp2013-4, Bank of Estonia, revised 04 Jun 2013.

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