Shortcuts
Top of page (Alt+0)
Page content (Alt+9)
Page menu (Alt+8)
Your browser does not support javascript, some WebOpac functionallity will not be available.
.
Default
.
PageMenu
-
Main Menu
-
Simple Search
.
Advanced Search
.
Journal Search
.
Refine Search Results
.
Preferences
.
Search Menu
Simple Search
.
Advanced Search
.
New Items Search
.
Journal Search
.
Refine Search Results
.
Bottom Menu
Help
Italian
.
English
.
German
.
New Item Menu
New Items Search
.
New Items List
.
Links
SISSA Library
.
ICTP library
.
Italian National web catalog (SBN)
.
Trieste University web catalog
.
Udine University web catalog
.
© LIBERO v6.4.1sp220816
Page content
You are here
:
Catalogue Display
Catalogue Display
Applied Panel Data Analysis for Economic and Social Surveys
.
Bookmark this Record
Catalogue Record 29115
.
.
Author info on Wikipedia
.
.
LibraryThing
.
.
Google Books
.
.
Amazon Books
.
Catalogue Information
Catalogue Record 29115
.
Reviews
Catalogue Record 29115
.
British Library
Resolver for RSN-29115
Google Scholar
Resolver for RSN-29115
WorldCat
Resolver for RSN-29115
Catalogo Nazionale SBN
Resolver for RSN-29115
GoogleBooks
Resolver for RSN-29115
ICTP Library
Resolver for RSN-29115
.
Share Link
Jump to link
Catalogue Information
Field name
Details
Dewey Class
519.5
Title
Applied Panel Data Analysis for Economic and Social Surveys (EB) / by by Hans-Jürgen Andreß, Katrin Golsch, Alexander W. Schmidt
Author
Andreß, Hans-Jürgen
Added Personal Name
Golsch, Katrin
Schmidt, Alexander W.
Other name(s)
SpringerLink (Online service)
Publication
Berlin, Heidelberg : Springer
, 2013.
Physical Details
XV, 327 p. 31 illus. : online resource.
ISBN
9783642329142
Summary Note
Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows how to manage, describe, and model these kinds of data. It presents models for continuous and categorical dependent variables, focusing either on the level of these variables at different points in time or on their change over time. It covers fixed and random effects models, models for change scores and event history models. All statistical methods are explained in an application-centered style using research examples from scholarly journals, which can be replicated by the reader through data provided on the accompanying website. As all models are compared to each other, it provides valuable assistance with choosing the right model' in applied research. The textbook is directed at master and doctoral students as well as applied researchers in the social sciences, psychology, business administration and economics. Readers should be familiar with linear regression and have a good understanding of ordinary least squares estimation.:
Contents note
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.-Â 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: Â 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.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
http://dx.doi.org/10.1007/978-3-642-32914-2
Links to Related Works
Subject References:
Econometrics
.
Methodology of the Social Sciences
.
Social sciences
.
Statistics
.
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
.
Authors:
Andreß, Hans-Jürgen
.
author
.
Golsch, Katrin
.
Schmidt, Alexander W.
.
Corporate Authors:
SpringerLink (Online service)
.
Classification:
519.5
.
.
ISBD Display
Catalogue Record 29115
.
Tag Display
Catalogue Record 29115
.
Related Works
Catalogue Record 29115
.
Marc XML
Catalogue Record 29115
.
Add Title to Basket
Catalogue Record 29115
.
Catalogue Information 29115
Beginning of record
.
Catalogue Information 29115
Top of page
.
Download Title
Catalogue Record 29115
Export
This Record
As
Labelled Format
Bibliographic Format
ISBD Format
MARC Format
MARC Binary Format
MARCXML Format
User-Defined Format:
Title
Author
Series
Publication Details
Subject
To
File
Email
Reviews
This item has not been rated.
Add a Review and/or Rating
29115
1
29115
-
2
29115
-
3
29115
-
4
29115
-
5
29115
-
Quick Search
Search for