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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.
This text investigates the application of standard statistical and econometric techniques specifically tailored to the empirical analysis of labour market data. Author Stephen Bazen provides a structured framework for researchers and students to navigate the complexities of labour economics, focusing on the practical implementation of models rather than purely theoretical derivations. The book bridges the gap between general econometrics textbooks and the specific needs of labour market practitioners by emphasizing model specification, diagnostic checking, and the interpretation of empirical results.
What You Will Find
Scope Limits
Experts and academics identify this work as a practical resource for postgraduates and researchers who require a bridge between abstract econometric theory and applied labour market analysis. Readers frequently note that the text is particularly useful for its focus on diagnostic checking and the interpretation of output, which are often overlooked in more generalized statistical manuals.
Page Count:
0
Publication Date:
1900-01-01
Publisher:
Oxford University Press
ISBN-10:
0191618101
ISBN-13:
9780191731136
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