Produktbild: Applied Panel Data Analysis for Economic and Social Surveys

Applied Panel Data Analysis for Economic and Social Surveys

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

25.01.2013

Verlag

Springer Berlin

Seitenzahl

327

Maße (L/B/H)

24.1/16/2.5 cm

Gewicht

640 g

Auflage

2013

Sprache

Englisch

ISBN

978-3-642-32913-5

Beschreibung

Rezension

“The monograph considers contemporary statistical analysis of panel survey data with repeated in time measurements on identical individuals, households, firms, nations, or other social entities. … The monograph presents an excellent introductory textbook on the panel data … . The book can be very helpful for lecturers, graduate students, and researchers using panel survey methods.” (Stan Lipovetsky, Technometrics, Vol. 59 (1), February, 2017)

“This book is written for applied researchers in the social fields. The level of the book refers to users with some theoretical background in statistics and econometrics, but no sound knowledge is required to read the book.” (Herbert S. Buscher, zbMATH, Vol. 1276, 2014)

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

25.01.2013

Verlag

Springer Berlin

Seitenzahl

327

Maße (L/B/H)

24.1/16/2.5 cm

Gewicht

640 g

Auflage

2013

Sprache

Englisch

ISBN

978-3-642-32913-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Applied Panel Data Analysis for Economic and Social Surveys
  • 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.