Applied Panel Data Analysis for Economic and Social Surveys

By Hans-Jurgen Andress, Alexander W. Schmidt, Katrin Golsch

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.

• Format: Paperback
• Language: English
• ISBN: 3642434177
• ISBN13: 9783642434174
• Release Date: July 2015
• Publisher: Springer
• Length: 327 Pages
• Weight: 1.06 lbs.
• Dimensions: 0.7" x 6.1" x 9.2"