Applied Panel Data Analysis for Economic and Social Surveys (Record no. 97301)

000 -LEADER
fixed length control field 04328nam a22004695i 4500
001 - CONTROL NUMBER
control field 978-3-642-32914-2
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220082854.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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fixed length control field 130125s2013 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642329142
-- 978-3-642-32914-2
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-642-32914-2
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA276-280
072 #7 - SUBJECT CATEGORY CODE
Subject category code JHBC
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code SOC027000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Andreß, Hans-Jürgen.
Relator term author.
245 10 - TITLE STATEMENT
Title Applied Panel Data Analysis for Economic and Social Surveys
Medium [electronic resource] /
Statement of responsibility, etc by Hans-Jürgen Andreß, Katrin Golsch, Alexander W. Schmidt.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2013.
300 ## - PHYSICAL DESCRIPTION
Extent XV, 327 p. 31 illus.
Other physical details online resource.
336 ## -
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-- computer
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-- rdamedia
338 ## -
-- online resource
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-- text file
-- PDF
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505 0# - FORMATTED CONTENTS NOTE
Formatted 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.-  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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Econometrics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Social sciences
General subdivision Methodology.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Methodology of the Social Sciences.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Econometrics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Golsch, Katrin.
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Schmidt, Alexander W.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783642329135
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-32914-2
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