| Introduction: Benefits and challenges of the panel design |
|
| Outline of the book |
|
| Audience and prerequisites |
|
| Acknowledgements |
|
| Managing panel data: The nature of panel data |
|
| The basics of panel data management |
|
| Three case studies on poverty in Germany |
|
| How to represent a population with panel data?- Conclusion and further reading |
|
| Describing and modeling panel data: Some basic terminology |
|
| Measurements over time are not independent |
|
| Describing the dependent variable |
|
| Explaining the dependent variable over time: typical explanatory variables |
|
| Modeling panel data.- Estimating models for panel data |
|
| Overview of subsequent chapters |
|
| Panel analysis of continuous variables: Modeling the level of Y |
|
| Modeling the change of Y.- Conclusion and further reading |
|
| Panel analysis of categorical variables: Modeling the level of Y: Discrete response models for panel data |
|
| Modeling the change of Y: Discrete-time event history models for panel data |
|
| Conclusion and further reading |
|
| Conclusion: How to do your own panel analysis |
|
| A: Functions of random variables |
|
| B: Estimation and testing: Ordinary least squares |
|
| How to compute a regression model fitting the data?- Sampling and sampling errors |
|
| How to choose between different estimation methods?- How to estimate the parameters of an unknown population with a sample of data?- How to test parameters of an unknown population with a sample of data?- Maximum likelihood |
|
| C: Web site of the textbook |
|
| Bibliography |
|
| Index |
|
| Introduction: Benefits and challenges of the panel design |
|
| Outline of the book |
|
| Audience and prerequisites |
|
| Acknowledgements |
|
| Managing panel data: The nature of panel data |
|
| The basics of panel data management |
|
