PASS-Literatur
Das Panel "Arbeitsmarkt und soziale Sicherung" (PASS) ist eine jährlich stattfindende Haushaltsbefragung. Mit dem PASS baut das IAB einen Datensatz für die Arbeitsmarkt-, Sozialstaats- und Armutsforschung in Deutschland auf. Durch seine Fallzahlen und die jährliche Periodizität ist PASS eine zentrale Quelle für die Untersuchung des Arbeitsmarkts, der Armut und der Situation von SGB-II-Leistungsempfängern in Deutschland.
In dieser Infoplattform finden Sie die mit PASS-Daten erstellte Forschungsliteratur, Daten- und Methodendokumentationen des PASS sowie Veröffentlichungen der methodischen Begleitforschung.
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Literaturhinweis
Panel "Arbeitsmarkt und soziale Sicherung" (PASS): Campus File (PASS-CF_0619_v1) Version 1 (2022)
Zitatform
Beste, Jonas & Corinna Frodermann (2022): Panel "Arbeitsmarkt und soziale Sicherung" (PASS). Campus File (PASS-CF_0619_v1) Version 1. (FDZ-Datenreport 07/2022 (de)), Nürnberg, 107 S. DOI:10.5164/IAB.FDZD.2207.de.v1
Abstract
"Ausschließlich für die Nutzung in der akademischen Lehre an Universitäten, Hochschulen oder Forschungsinstituten hat das Institut für Arbeitsmarkt- und Berufsforschung (IAB) einen Campus File (CF) als absolut anonymisierte Stichprobe des Panel Arbeitsmarkt und soziale Sicherung (PASS) erzeugt, das PASS-CF_0619_v1. Dieser Datenreport gibt einen kurzen Überblick über dessen Konzeption und Erstellung, sowie Möglichkeiten und Einschränkungen im Umgang mit dem Campus File." (Autorenreferat, IAB-Doku)
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Literaturhinweis
Quick start file for the panel "Labour market and social security" (PASS): analysing the PASS data using SPSS/PASW (2015)
Fuchs, Benjamin; Otto, Michael; Lödel, Sarah;Zitatform
Fuchs, Benjamin, Sarah Lödel & Michael Otto (2015): Quick start file for the panel "Labour market and social security" (PASS). Analysing the PASS data using SPSS/PASW. (FDZ-Methodenreport 08/2015 (en)), Nürnberg, 39 S.
Abstract
This FDZ-Methodenreport is meant to help users of SPSS/PASW handling the data of the Panel Study "Labour Market and Social Security" (PASS). It uses practical examples as can be found in the User Guide of PASS (Bethmann/Fuchs/Wurdack, 2013: Part II), which was written with a focus on STATA users. Therefore, it draws heavily on the work of Gebhardt/Bethmann (2013a), Gebhardt/Bethmann (2013b), Gebhardt/Bethmann (2013c) and Trappmann (2013).
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Literaturhinweis
Instruments and interview programme (2013)
Zitatform
Beste, Jonas, Johannes Eggs, Stefanie Gundert & Claudia Wenzig (2013): Instruments and interview programme. In: A. Bethmann, B. Fuchs & A. Wurdack (Hrsg.) (2013): User Guide "Panel Study Labour Market and Social Security" (PASS) : Wave 6 (FDZ-Datenreport, 07/2013 (en)), S. 23-26.
Abstract
The authors give a detailed overview over wave-specific modules of the household and personal questionnaires (waves 1 - 6). (IAB)
Weiterführende Informationen
Here you find the report. -
Literaturhinweis
User guide "Panel Study Labour Market and Social Security" (PASS): wave 6 (2013)
Bethmann, Arne ; Eggs, Johannes; Müller, Gerrit; Fuchs, Benjamin; Gundert, Stefanie ; Wurdack, Anja; Wenzig, Claudia; Beste, Jonas ; Gebhardt, Daniel; Trappmann, Mark ;Zitatform
Bethmann, Arne, Benjamin Fuchs & Anja Wurdack (Hrsg.) Beste, Jonas, Mark Trappmann, Gerrit Müller, Johannes Eggs, Stefanie Gundert, Claudia Wenzig & Daniel Gebhardt (Mitarb.) (2013): User guide "Panel Study Labour Market and Social Security" (PASS). Wave 6. (FDZ-Datenreport 07/2013 (en)), Nürnberg, 112 S.
Abstract
"This User Guide is meant to give information on general issues of the panel study 'Labour Market and Social Security' (PASS) and to offer assistance for the work with the datasets of the scientific use file (SUF). While the data reports, which are released for every wave, inform in detail about key statistics, data editing, generated variables and the weighting of a certain wave, the User Guide offers comprehensive information that is not specific for a single wave.
Arne Bethmann, Benjamin Fuchs, Anja Wurdack: Getting started with PASS (8-10);
Mark Trappmann: PASS backround (11-12);
Mark Trappmann, Gerrit Müller; Arne Bethmann: Design of the study (13-22);
Jonas Beste, Johannes Eggs, Stefanie Gundert, Claudia Wenzig: Instruments and interview programme (23-26);
Benjamin Fuchs: Structure of the scientific use file and its datasets (27-47);
Arne Bethmann: Variable types and their names (48-51);
Daniel Gebhardt: Data editing (52-55);
Mark Trappmann: Weighting (56-66);
Daniel Gebhardt, Arne Bethmann: Key variables (68-80);
Mark Trappmann: Weights (81-99);
Daniel Gebhardt, Arne Bethmann: Generated variables (99-103);
Daniel Gebhardt, Arne Bethmann: Constant characteristics (103-107)" (Author's abstract, IAB-Doku) ((en))Beteiligte aus dem IAB
Müller, Gerrit; Gundert, Stefanie ; Wenzig, Claudia; Beste, Jonas ; Trappmann, Mark ; -
Literaturhinweis
Variable types and their names (2013)
Zitatform
Bethmann, Arne (2013): Variable types and their names. In: A. Bethmann, B. Fuchs & A. Wurdack (Hrsg.) (2013): User Guide "Panel Study Labour Market and Social Security" (PASS) : Wave 6 (FDZ-Datenreport, 07/2013 (en)), S. 48-51.
Abstract
The codebook distinguishes between three different types of variables: system variables, surveyed variables and generated variables. (IAB)
Weiterführende Informationen
Here you find the report. -
Literaturhinweis
Getting started with PASS (2013)
Zitatform
Bethmann, Arne, Benjamin Fuchs & Anja Wurdack (2013): Getting started with PASS. In: A. Bethmann, B. Fuchs & A. Wurdack (Hrsg.) (2013): User Guide "Panel Study Labour Market and Social Security" (PASS) : Wave 6 (FDZ-Datenreport, 07/2013 (en)), S. 8-10.
Abstract
"Part I gives an introduction to the PASS data, starting in chapter 1 with a first overview of the topics covered by the User Guide and the other working tools that will help users to work with PASS." (Author's abstract, IAB-Doku) ((en))
Weiterführende Informationen
Here you find the report. -
Literaturhinweis
Structure of the scientific use file and its datasets (2013)
Fuchs, Benjamin;Zitatform
Fuchs, Benjamin (2013): Structure of the scientific use file and its datasets. In: A. Bethmann, B. Fuchs & A. Wurdack (Hrsg.) (2013): User Guide "Panel Study Labour Market and Social Security" (PASS) : Wave 6 (FDZ-Datenreport, 07/2013 (en)), S. 27-47.
Abstract
"The information collected in PASS is available as scientific use file (SUF). This chapter will give an introduction on how it is organised, the different types of datasets it includes on the individual and household level and the links between them.
Therefore, the first section of this chapter will deduce the SUF's basic logic from the way households and its members are questioned in PASS. In doing so, it will be shown how the datasets of the SUF can be classified by their level (household or individual) and their type (register; cross section; weight or spell) and in which formats they are prepared (wide; long; spell).
Subsequently in the second section, we will focus on the datasets themselves. After a brief overview of the content of the SUF, the datasets will be presented in more detail, starting with the different types of datasets on the household level followed by the individual level." (Author's abstract, IAB-Doku) ((en))Weiterführende Informationen
Here you find the report. -
Literaturhinweis
Data editing (2013)
Gebhardt, Daniel;Zitatform
Gebhardt, Daniel (2013): Data editing. In: A. Bethmann, B. Fuchs & A. Wurdack (Hrsg.) (2013): User Guide "Panel Study Labour Market and Social Security" (PASS) : Wave 6 (FDZ-Datenreport, 07/2013 (en)), S. 52-55.
Abstract
"The Scientific Use File (SUF) of PASS is the product of an intensive data editing process. In its course, the raw data collected by the field institute in a certain wave is checked, answers to open-ended survey questions are coded, variables are generated and the data is integrated into the datasets of the SUF. Although this process is improved and adjusted for each wave, its basic logic and the succession of its steps stay the same over time. While the wave-specific procedures are described in the data reports this section will focus on giving an overview of the important steps and their succession." (Author's abstract, IAB-Doku) ((en))
Weiterführende Informationen
Here you find the report. -
Literaturhinweis
Key variables (2013)
Zitatform
Gebhardt, Daniel & Arne Bethmann (2013): Key variables. In: A. Bethmann, B. Fuchs & A. Wurdack (Hrsg.) (2013): User Guide "Panel Study Labour Market and Social Security" (PASS) : Wave 6 (FDZ-Datenreport, 07/2013 (en)), S. 68-73.
Abstract
"Key variables are used to identify units and observations and to establish links between different datasets. These variables are essential whenever a certain research question requires information from different datasets which must therefore be combined before analyses can be carried out.
This section aims to explain the key variables of PASS and how they are put to use. In a first step, this section will explain how the key variables are connected to the structure of the scientific use file (SUF) and its datasets, which were discussed in section 5. Secondly, these variables are described in more detail. Also, an overview of the key variables included in the different datasets of the scientific use file is given. The section concludes with several practical examples illustrating the use of the key variables." (Author's abstract, IAB-Doku) ((en))Weiterführende Informationen
Here you find the report. -
Literaturhinweis
Register data (2013)
Zitatform
Gebhardt, Daniel & Arne Bethmann (2013): Register data. In: A. Bethmann, B. Fuchs & A. Wurdack (Hrsg.) (2013): User Guide "Panel Study Labour Market and Social Security" (PASS) : Wave 6 (FDZ-Datenreport, 07/2013 (en)), S. 73-76.
Abstract
In the following sections the structure and contents of the household register dataset and the person register dataset are presented and their use demonstrated using two examples. (IAB)
Weiterführende Informationen
Here you find the report. -
Literaturhinweis
Spell data (2013)
Zitatform
Gebhardt, Daniel & Arne Bethmann (2013): Spell data. In: A. Bethmann, B. Fuchs & A. Wurdack (Hrsg.) (2013): User Guide "Panel Study Labour Market and Social Security" (PASS) : Wave 6 (FDZ-Datenreport, 07/2013 (en)), S. 76-80.
Abstract
In all waves, the scientific use file of PASS included spell datasets on the household level as well as on the individual level. The authors present an overview and an example for using the cross-sectional information included in the spell datasets. (IAB)
Weiterführende Informationen
Here you find the report. -
Literaturhinweis
Generated variables (2013)
Zitatform
Gebhardt, Daniel & Arne Bethmann (2013): Generated variables. In: A. Bethmann, B. Fuchs & A. Wurdack (Hrsg.) (2013): User Guide "Panel Study Labour Market and Social Security" (PASS) : Wave 6 (FDZ-Datenreport, 07/2013 (en)), S. 99-103.
Abstract
"The datasets of the scientific use file (SUF) of PASS include different types of variables. This section focuses on the generated variables which were created during the data editing process. They are meant to provide users a quick start or information that could not be included directly in the datasets of the scientific use file, e. g. information on the relationships between the household members. Detailed information about the generated variables can be found in the wave-specific data reports, e. g. an overview of the variables generated for a certain wave or the source variables they are based on. This chapter of the user guide will give a general introduction to the different types of generated variables and some notes on their use." (Author's abstract, IAB-Doku) ((en))
Weiterführende Informationen
Here you find the report. -
Literaturhinweis
Constant characteristics (2013)
Zitatform
Gebhardt, Daniel & Arne Bethmann (2013): Constant characteristics. In: A. Bethmann, B. Fuchs & A. Wurdack (Hrsg.) (2013): User Guide "Panel Study Labour Market and Social Security" (PASS) : Wave 6 (FDZ-Datenreport, 07/2013 (en)), S. 103-107.
Abstract
"Variables which are assumed not to change over time are only surveyed once in PASS. However, despite the constant nature of the characteristics in reality, changes in these variables are sometimes possible since, for example, incorrect entries may be corrected in subsequent interviews (e. g. in the case of gender). The following sections provide a brief overview of the constant characteristics that are available in PASS. The intention here is to show the conditions under which the variable was surveyed for the first time and to indicate the dataset in which it can be found. The key variables are disregarded here." (Author's abstract, IAB-Doku) ((en))
Weiterführende Informationen
Here you find the report. -
Literaturhinweis
PASS background (2013)
Zitatform
Trappmann, Mark (2013): PASS background. In: A. Bethmann, B. Fuchs & A. Wurdack (Hrsg.) (2013): User Guide "Panel Study Labour Market and Social Security" (PASS) : Wave 6 (FDZ-Datenreport, 07/2013 (en)), S. 11-12.
Abstract
The author describes objectives and research questions of the panel study "Labour Market and Social Security" PASS and how does PASS fit in the German microdata landscape. (IAB)
Weiterführende Informationen
Here you find the report. -
Literaturhinweis
Design of the study (2013)
Zitatform
Trappmann, Mark, Gerrit Müller & Arne Bethmann (2013): Design of the study. In: A. Bethmann, B. Fuchs & A. Wurdack (Hrsg.) (2013): User Guide "Panel Study Labour Market and Social Security" (PASS) : Wave 6 (FDZ-Datenreport, 07/2013 (en)), S. 13-22.
Abstract
"After a short introduction, in section 3.2 the reader will find information on the sampling design, while section 3.3 contains other design aspects like mode, interview languages, interviewer trainings etc.." (Author's abstract, IAB-Doku) ((en))
Weiterführende Informationen
Here you find the report. -
Literaturhinweis
Weighting (2013)
Zitatform
Trappmann, Mark (2013): Weighting. In: A. Bethmann, B. Fuchs & A. Wurdack (Hrsg.) (2013): User Guide "Panel Study Labour Market and Social Security" (PASS) : Wave 6 (FDZ-Datenreport, 07/2013 (en)), S. 56-66.
Abstract
This chapter contains information on the concept and process of constructing and calculating the weights. Information on how to use the weights can be found in section 12. (IAB)
Weiterführende Informationen
Here you find the report. -
Literaturhinweis
Weights (2013)
Zitatform
Trappmann, Mark (2013): Weights. In: A. Bethmann, B. Fuchs & A. Wurdack (Hrsg.) (2013): User Guide "Panel Study Labour Market and Social Security" (PASS) : Wave 6 (FDZ-Datenreport, 07/2013 (en)), S. 81-99.
Abstract
"All of the weights in PASS are so-called probability weights: the weight of a household or a person is equivalent to the reciprocal value of its/his/her inclusion probability (adjusted by non-response modelling and calibration). In Stata, starting with version 9, probability weights have to be set using the surveyset command (see Stata Corp 2007). However, surveyset not only has the purpose of defining the weights to be used, but also of defining the aspects of the survey design that have an impact on the standard errors." (Author's abstract, IAB-Doku) ((en))
Weiterführende Informationen
Here you find the report. -
Literaturhinweis
Variable types and their names (2011)
Zitatform
Bethmann, Arne (2011): Variable types and their names. In: A. Bethmann & D. Gebhardt (Hrsg.) (2011): User Guide "Panel Study Labour Market and Social Security" (PASS) : Wave 3 (FDZ-Datenreport, 04/2011 (en)), S. 42-45.
Abstract
"For naming the variables of the dataset we considered two main alternatives from which we had to choose one. The first option is naming the variables in accordance with their respective order in the questionnaire, as is done in the German Socio-Economic Panel (GSOEP), for example. The advantage of this type of naming convention is that the items corresponding to the variables are easy to find in the questionnaire, which significantly enhances the value of the questionnaire as a documentation instrument. The central disadvantage of this approach is that identical items are given different names due to changes in the order of questions in the questionnaire, resulting in considerable preparation being required for compiling and, if necessary, renaming the required variables even for simple trend analyses, as more and more panel waves become available. The second main alternative is allocating independent variable names, which are kept constant across waves (apart from a wave indicator if necessary). The advantages and disadvantages of this strategy are opposite to those of the first alternative: identifying the variables corresponding to an item across waves is unproblematic, whereas using the questionnaire as a documentation instrument becomes more difficult, as it is no longer possible to derive the position of an item in the questionnaire from the variable name. In our opinion, the advantages of fixed variable names clearly outweigh the disadvantages in a long-term panel study. Moreover, the decision in favour of organising the data in long format as described above requires the use of uniform variable names." (Author's abstract, IAB-Doku) ((en))
Weiterführende Informationen
Here you find the report. -
Literaturhinweis
User guide "Panel Study Labour Market and Social Security" (PASS): wave 3 (2011)
Bethmann, Arne ; Trappmann, Mark ; Gebhardt, Daniel; Müller, Gerrit; Beste, Jonas ; Eggs, Johannes; Gundert, Stefanie ;Zitatform
Bethmann, Arne & Daniel Gebhardt (Hrsg.) Trappmann, Mark, Gerrit Müller, Jonas Beste, Johannes Eggs & Stefanie Gundert (Mitarb.) (2011): User guide "Panel Study Labour Market and Social Security" (PASS). Wave 3. (FDZ-Datenreport 04/2011 (en)), Nürnberg, 111 S.
Abstract
"This User Guide is meant to give information on general issues of the panel study 'Labour Market and Social Security' (PASS) and to offer assistance for the work with the datasets of the scientific use file (SUF). While the data reports, which are released for every wave, inform in detail about key statistics, data editing, generated variables and the weighting of a certain wave, the User Guide offers comprehensive information that is not specific for a single wave." (author's abstract, IAB-Doku) ((en))
Weiterführende Informationen
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Literaturhinweis
Structure of the scientific use file and its datasets (2011)
Gebhardt, Daniel;Zitatform
Gebhardt, Daniel (2011): Structure of the scientific use file and its datasets. In: A. Bethmann & D. Gebhardt (Hrsg.) (2011): User Guide "Panel Study Labour Market and Social Security" (PASS) : Wave 3 (FDZ-Datenreport, 04/2011 (en)), S. 22-41.
Abstract
"The information collected in PASS is available as scientific use file (SUF). This chapter will give an introduction on how it is organised, the different types of datasets it includes on the individual and household level and the links between them. Therefore, the first section of this chapter will deduce the SUF's basic logic from the way households and its members are questioned in PASS. In doing so, it will be shown how the datasets of the SUF can be classified by their level (household or individual) and their type (register; cross section; weight or spell) and in which formats they are prepared (wide; long; spell). Subsequently in the second section, we will focus on the datasets themselves. After a brief overview of the content of the SUF, the datasets will be presented in more detail, starting with the different types of datasets on the household level followed by the individual level." (Author's abstract, IAB-Doku) ((en))
Weiterführende Informationen
Here you find the report.