000 04328nam a22004695i 4500
001 978-3-642-32914-2
003 DE-He213
005 20140220082854.0
007 cr nn 008mamaa
008 130125s2013 gw | s |||| 0|eng d
020 _a9783642329142
_9978-3-642-32914-2
024 7 _a10.1007/978-3-642-32914-2
_2doi
050 4 _aQA276-280
072 7 _aJHBC
_2bicssc
072 7 _aSOC027000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aAndreß, Hans-Jürgen.
_eauthor.
245 1 0 _aApplied Panel Data Analysis for Economic and Social Surveys
_h[electronic resource] /
_cby Hans-Jürgen Andreß, Katrin Golsch, Alexander W. Schmidt.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXV, 327 p. 31 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction: 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 _aMany 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 _aStatistics.
650 0 _aEconometrics.
650 0 _aSocial sciences
_xMethodology.
650 1 4 _aStatistics.
650 2 4 _aStatistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
650 2 4 _aMethodology of the Social Sciences.
650 2 4 _aEconometrics.
700 1 _aGolsch, Katrin.
_eauthor.
700 1 _aSchmidt, Alexander W.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642329135
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-32914-2
912 _aZDB-2-SMA
999 _c97301
_d97301