Econometrics methods for labour economics

Online-Ressource (1 online resource (xi, 148 p.))

ill.

Includes bibliographical references (p. 143-146) and index. - Description based on print version record

Cover; Contents; List of Figures; List of Tables; Data Sources; Introduction; 1. The Use of Linear Regression in Labour Economics; 1.1 The Linear Regression Model-A Review of Some Basic Results; 1.2 Specification Issues in the Linear Model; 1.3 Using the Linear Regression Model in Labour Economics-the Mincer Earnings Equation; 1.4 Concluding Remarks; Appendix: The Mechanics of Ordinary Least Squares Estimation; 2. Further Regression Issues in Labour Economics; 2.1 Decomposing Differences Between Groups-Oaxaca and Beyond; 2.2 Quantile Regression and Earnings Decompositions

2.3 Regression with Panel Data2.4 Estimating Standard Errors; 2.5 Concluding Remarks; 3. Dummy and Ordinal Dependent Variables; 3.1 The Linear Model and Least Squares Estimation; 3.2 Logit and Probit Models-A Common Set-up; 3.3 Interpreting the Output; 3.4 More Than Two Choices; 3.5 Concluding Remarks; 4. Selectivity; 4.1 A First Approach-Truncation Bias and a Pile-up of Zeros; 4.2 Sample Selection Bias-Missing Values; 4.3 Marginal Effects and Oaxaca Decompositions in Selectivity Models; 4.4 The Roy Model-The Role of Comparative Advantage; 4.5 The Normality Assumption; 4.6 Concluding Remarks

Appendix1. The conditional expectation of the error term under truncation; 2. The conditional expectation of the error term with sample selection; 3. Marginal effects in the sample selection model; 4. The conditional expectation of the error terms in two equations with selectivity bias; 5. Duration Models; 5.1 Analysing Completed Durations; 5.2 Econometric Modelling of Spell Lengths; 5.3 Censoring: Complete and Incomplete Durations; 5.4 Modelling Issues with Duration Data; 5.5 Concluding Remarks; Appendix

1. The expected duration of completed spell is equal to the integral of the survival function2. The integrated hazard function; 3. The log likelihood function with discrete (grouped) duration data; 6. Evaluation of Policy Measures; 6.1 The Experimental Approach; 6.2 The Quasi-experimental Approach-A Control Group can be Defined Exogenously; 6.3 Evaluating Policies in a Non-experimental Context: The Role of Selectivity; 6.4 Concluding Remarks; Appendix; 1. Derivation of the average treatment effect as an OLS estimator; 2. Derivation of the Wald estimator; Conclusion; Bibliography; Index; A; B

CD; E; F; G; H; I; K; L; M; N; O; P; Q; R; S; T; U; W;

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