Econometric methods for labour economics

Başlık:

Yazar:

Bazen, Stephen.

ISBN:

9780199576791

Ek Yazar:

Bazen, Stephen.

Yayım Bilgisi:

Oxford ; New York : Oxford University Press, 2011.

Fiziksel Tanım:

xi, 148 p. : ill. ; 24 cm.

Series:

Practical econometrics

Practical econometrics.

Contents:

1. The Use of Linear Regression in Labour Economics -- 2. Further Regression Issues in Labour Economics -- 3. Dummy and Ordinal Dependent Variables -- 4. Selectivity -- 5. Duration Models -- 6. Evaluation of Policy Measures.

Konu Terimleri:

Labor market -- Econometric models.

İş piyasasi -- Ekonometrik modeller.

Labor economics -- Research -- Methodology.

Çalışma ekonomisi -- Araştırma -- Yöntem.

Econometric models.

Ekonometrik modeller.

Arbeitsmarkt. (DE-588c)4002733-8

Datenanalyse. (DE-588c)4123037-1

Statistik. (DE-588c)4056995-0

Ökonometrie. (DE-588c)4132280-0

Electronic Access:

http://scans.hebis.de/HEBCGI/show.pl?27001258_aub.html
http://scans.hebis.de/HEBCGI/show.pl?27001258_kub.html
http://scans.hebis.de/HEBCGI/show.pl?27001258_toc.html

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Library	Materyal Türü	Barkod	Yer Numarası	Durum
Searching... Pamukkale Merkez Kütüphanesi	Kitap	0066401	HD5701.6 .B39 2011	Searching... Unknown

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Özet

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.

Author Notes

Stephen Bazen gained his PhD from the London School of Economics. Previously, he was Lecturer at the University of Kent and Professor at Université de Bordeaux IV and Université de Savoie. He has been Visiting Professor at the universities of Paris Panthéon-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, labourmarket 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), andEconométrie: des fondements à la modélisation (with M. Sabatier, Editions Vuibert, 2007).

List of Figures	p. ix
List of Tables	p. x
Data Sources	p. xi
Introduction	p. 1
1 The Use of Linear Regression in Labour Economics	p. 4
1.1 The Linear Regression Model-A Review of Some Basic Results	p. 5
1.2 Specification Issues in the Linear Model	p. 10
1.3 Using the Linear Regression Model in Labour Economics-the Mincer Earnings Equation	p. 20
1.4 Concluding Remarks	p. 30
Appendix: The Mechanics of Ordinary Least Squares Estimation	p. 32
2 Further Regression Issues in Labour Economics	p. 34
2.1 Decomposing Differences Between Groups-Oaxaca and Beyond	p. 35
2.2 Quantile Regression and Earnings Decompositions	p. 42
2.3 Regression with Panel Data	p. 44
2.4 Estimating Standard Errors	p. 48
2.5 Concluding Remarks	p. 51
3 Dummy and Ordinal Dependent Variables	p. 53
3.1 The Linear Model and Least Squares Estimation	p. 53
3.2 Logit and Probit Models-A Common Set-up	p. 56
3.3 Interpreting the Output	p. 61
3.4 More Than Two Choices	p. 68
3.5 Concluding Remarks	p. 74
4 Selectivity	p. 76
4.1 A First Approach-Truncation Bias and a Pile-up of Zeros	p. 77
4.2 Sample Selection Bias-Missing Values	p. 79
4.3 Marginal Effects and Oaxaca Decompositions in Selectivity Models	p. 84
4.4 The Roy Model-The Role of Comparative Advantage	p. 87
4.5 The Normality Assumption	p. 90
4.6 Concluding Remarks	p. 91
Appendix:
1 The conditional expectation of the error term under truncation	p. 93
2 The conditional expectation of the error term with sample selection	p. 94
3 Marginal effects in the sample selection model	p. 95
4 The conditional expectation of the error terms in two equations with selectivity bias	p. 96
5 Duration Models	p. 97
5.1 Analysing Completed Durations	p. 100
5.2 Econometric Modelling of Spell Lengths	p. 102
5.3 Censoring: Complete and Incomplete Durations	p. 108
5.4 Modelling Issues with Duration Data	p. 113
5.5 Concluding Remarks	p. 117
Appendix:
1 The expected duration of completed spell is equal to the integral of the survival function	p. 119
2 The integrated hazard function	p. 119
3 The log likelihood function with discrete (grouped) duration data	p. 120
6 Evaluation of Policy Measures	p. 122
6.1 The Experimental Approach	p. 123
6.2 The Quasi-experimental Approach-A Control Group can be Defined Exogenously	p. 125
6.3 Evaluating Policies in a Non-experimental Context: The Role of Selectivity	p. 131
6.4 Concluding Remarks	p. 136
Appendix:
1 Derivation of the average treatment effect as an OLS estimator	p. 138
2 Derivation of the Wald estimator	p. 139
Conclusion	p. 141
Bibliography	p. 143
Index	p. 147

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