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Cluster of Excellence "The Politics of Inequality" (Konstanz). Data File Version 1.0.0, https://doi.org/10.7802/2740
Abstract: The Inequality Barometer is a representative online survey first conducted in Germany in 2020. It examines individual perceptions of different aspects of inequality and s ... more
Abstract: The Inequality Barometer is a representative online survey first conducted in Germany in 2020. It examines individual perceptions of different aspects of inequality and s ... more
Availability: Free access (with registration)
Subject area: [Political Science [=] Sociology [=] Economics]
Topics: inequality, perception
Date(s) of Data Collection: 2020-09-07; 2020-09-30
Geographic coverage: [Germany / DE]
Universe: Deutschsprachige Wohnbevölkerung über 18 Jahre
Sampling Procedure: Non-probability Sample - Quota Sample
Temporal Research Design: cross-section
Mode of Data Collection: Web-based interview
Primärforschende, Institution: Bellani, Luna; University of Konstanz, Bledow, Nona; University of Konstanz, Busemeyer, Marius R.; University of Konstanz, Schwerdt, Guido; University of Konstanz
Publication year: 2024
DOI: 10.7802/2740
Study number: SDN-10.7802-2740
Contributor, Institution, Role: [Berriochoa, Kattalina; University of Konstanz (Researcher) [=] Kapteina, Mark; University of Konstanz (Researcher) [=] Beiser-McGrath, Liam; University of Konstanz (Researcher) [=] Wöhler, Thomas; University of Konstanz (Project Manager)]
Project funder: Funded by the Deutsche Forschungsgemeinschaft (DFG – German Research Foundation) under Germany‘s Excellence Strategy – EXC-2035/1 – 390681379
Publisher: Cluster of Excellence "The Politics of Inequality" (Konstanz)
Current Version: 1.0.0, https://doi.org/10.7802/2740
Publications: Bellani, L., Bledow, N., Busemeyer, M. R., & Schwerdt, G. (2021). Perception of inequality and social mobility in Germany: Evidence from the inequality barometer (No. 03). Working Paper Series., Busemeyer, M. R. (2024). Who cares for the future? Exploring public attitudes towards the needs of future generations in Germany. Journal of European Public Policy, 31(3), 680-705., Eick, G. M., & Busemeyer, M. R. (2023). Migration levels and welfare support: evidence from the local level. Journal of European Public Policy, 1-33., Bellani, L., Bledow, N., Busemeyer, M., & Schwerdt, G. (2021). When everyone thinks they’re middle-class: (Mis)-Perceptions of inequality and why they matter for social policy. Policy Paper 06: Inequality Barometer – Inequality and Social Mobility. 26. May 2021., Beiser‐McGrath, L. F., & Busemeyer, M. R. (2023). Carbon inequality and support for carbon taxation. European Journal of Political Research.
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data_inequality_barometer_wave_2020.dta
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MD5: | 14520a3cb694d133cb0b09b65a508fe4 |
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Type of file: | Research Data |
File size: | 5.44 MB |
Version number: | 1 |
Language: | German / de |
data_inequality_barometer_wave_2020_long.dta
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MD5: | e61fb4cc1470a43fdcccbcb884478bb6 |
---|---|
Type of file: | Research Data |
File size: | 17.73 MB |
Version number: | 1 |
Language: | German / de |
The download of these files requires a login at GESIS. Registration at GESIS is free of charge, open to all and gives you access to various GESIS services.
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Codebook_IB_wave_2020.pdf
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MD5: | fd6f17775380e87d89aa95622ddd877e |
---|---|
Type of file: | Codebook |
File size: | 1.15 MB |
Version number: | 1 |
Language: | German / de |
The download of these files requires a login at GESIS. Registration at GESIS is free of charge, open to all and gives you access to various GESIS services.
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Factsheet_IB_wave_2020.pdf
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MD5: | c45677cfa3d62d547b9a550970317dbf |
---|---|
Type of file: | Technical Report |
File size: | 92.02 KB |
Version number: | 1 |
Language: | English / en |
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2677
Other Title (type): Online Anti-Gender Equality Mobilizations and Counter Strategies (Subtitle), Anti-gender discourses online (Subtitle)
Abstract: These data were collected as part of PushBackLash's Work Package on anti-gender discourses online to analyze anti-gender equality strategies on Twitter/X to develop typol ... more
Abstract: These data were collected as part of PushBackLash's Work Package on anti-gender discourses online to analyze anti-gender equality strategies on Twitter/X to develop typol ... more
Availability: Embargo (maximum 2 years)
Embargo until: 2026-02-20
Availability after expiration of the embargo: Free access (with registration)
Subject area: [Political Science [=] Information Science [=] Mass Communication [=] Womens Studies, Feminist Studies, Gender Studies]
Topics: twitter, discourse, gender, online media, online service, social media, gender studies, inequality, mobilization
Date(s) of Data Collection: 2023-07; 2023-12
Geographic coverage: [Austria / AT [=] Germany / DE [=] Poland / PL [=] Netherlands / NL [=] Italy / IT [=] Spain / ES [=] Hungary / HU [=] United Kingdom of Great Britain and Northern Ireland / GB]
Universe: Important pro- and anti-gender equality actors in the European Union (X Users)
Sampling Procedure: Non-probability Sample - Purposive Sample
Temporal Research Design: cross-section
Mode of Data Collection: Compilation/Synthesis
Notes: On November 14th 2023 X (former Twitter) changed the developer agreement and terms. One unexpected change referred to the content redistribution. Specifically, it states: Academic researchers are permitted to distribute Post IDs and/or User IDs solely for the purposes of non-commercial research on behalf of an academic institution, and that has been approved by X in writing, or peer review or validation of such research. Only as many Post IDs or User IDs as is necessary for such research, and have been approved by X may be used.The changes impact the Tweet IDs we are allowed to deposit and share publicly. Specifically, it implies that for those tweets collected before November 14th (~27,000) the tweet IDs will be deposited with GESIS. For the tweets collected after November 14th, we ask X for permission to share them. If X agrees, we will deposit the Tweet IDs with GESIS. If X disagrees, we will not be able to deposit these tweets. We will also monitor closely any developments in case the developer agreement and terms change again in the future.
Primärforschende, Institution: Kesberg, Rebekka; University of Amsterdam, Mügge, Liza; University of Amsterdam
Publication year: 2024
DOI: 10.7802/2677
Study number: SDN-10.7802-2677
Project funder: This project has received funding from the European Union’s Horizon 2021 research and innovation programme under grant agreement N° 101061687.
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2677
GESIS, Cologne. Data File Version 2.0.0, https://doi.org/10.7802/2772
Other Title (type): Income, (Mis-)
Abstract: The SOECBIAS-COVREF data set is an output of two research projects: The interdisciplinary research project SOECBIAS, funded by the Federal Ministry of Labour and Social A ... more
Abstract: The SOECBIAS-COVREF data set is an output of two research projects: The interdisciplinary research project SOECBIAS, funded by the Federal Ministry of Labour and Social A ... more
Availability: Restricted Access
Subject area: [Volkswirtschaftslehre [=] Soziologie [=] Sozialpolitik]
Topics: inequality, attitude, income distribution, perception, redistribution, Europe, epidemic, household income, affectedness
Date(s) of Data Collection: 2020-03; 2020-03, 2020-06; 2020-07, 2021-04; 2021-04, 2022-07; 2022-10
Geographic coverage: [Deutschland / DE [=] Italien / IT [=] Polen / PL [=] Schweden / SE]
Temporal Research Design: cross-section, Longitudinal (panel study)
Mode of Data Collection: Self-administered questionnaire:CAWI(Computer-assisted web interviewing)
Primärforschende, Institution: Beblo, Miriam; Universität Hamburg , Jäger, Julian; Universität Hamburg, Lohmann, Henning; Universität Hamburg, Sattler-Bublitz, Elisabeth; Universität Hamburg, Wang, Hequn; Universität Hamburg
Publication year: 2024
DOI: 10.7802/2772
Study number: SDN-10.7802-2772
Project funder: Bundesministerium für Arbeit und Soziales, Deutsche Forschungsgemeinschaft
Publisher: GESIS, Cologne
Current Version: 2.0.0, https://doi.org/10.7802/2772
Version history:
Version number | Changes in this version |
---|---|
2.0.0 (aktuelle Version) | 2024-09-29 In dieser Version wurden die Daten mit zwei weiteren Panelwellen ergänzt. https://doi.org/10.7802/2772 |
1.0.0 | 2023-07-19 https://doi.org/10.7802/2590 |
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- Questionnaires
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Note:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
Please request access by email: Request access.
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a_soecbias_covref_data_2020-2022_w1-4_panel.dta
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MD5: | 10c5d37c19291b3f910d21282b669925 |
---|---|
Type of file: | Research Data |
File size: | 20.4 MB |
Note:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
Please request access by email: Request access.
As soon as your request has been approved, you can log in and download the data here.
Downloads:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
Please request access by email: Request access.
As soon as your request has been approved, you can log in and download the data here.
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W1_Fragebogen_de.pdf
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MD5: | 4741c60cbdc6ccd15904ceb0e858c9b2 |
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Type of file: | Questionnaire |
File size: | 584.74 KB |
W1_questionnaire_en.pdf
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MD5: | 276a4de502cba3368f7f047235011d0d |
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Type of file: | Questionnaire |
File size: | 713.22 KB |
W1_questionnaire_screenshots_it.pdf
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MD5: | 8f5ab5e1cfddc75d8c515d1ac2936507 |
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Type of file: | Questionnaire |
File size: | 1.29 MB |
W1_questionnaire_screenshots_pl.pdf
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MD5: | fd8f9ba60a5f5b6a3f794c9edf0d07a4 |
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Type of file: | Questionnaire |
File size: | 1.36 MB |
W1_questionnaire_screenshots_se.pdf
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MD5: | 9850761cb59656ec9b11372a8ec214d4 |
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Type of file: | Questionnaire |
File size: | 1.25 MB |
W2_Fragebogen_de.pdf
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MD5: | 1b9df5e1393ea51971fb07f3a2a3104e |
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Type of file: | Questionnaire |
File size: | 370.16 KB |
W2_questionnaire_en.pdf
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MD5: | 2845ea320992017165a641390638c71b |
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Type of file: | Questionnaire |
File size: | 352.43 KB |
W3_Fragebogen_de.pdf
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MD5: | 3689875a72a9789858cefd2553e6026c |
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Type of file: | Questionnaire |
File size: | 371.92 KB |
W3_questionnaire_en.pdf
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MD5: | 85c19aba34aa7bae5756d445edc20444 |
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Type of file: | Questionnaire |
File size: | 344.92 KB |
W4_Fragebogen_de.pdf
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MD5: | b7404fabcc3f68558c893b64554ab162 |
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Type of file: | Questionnaire |
File size: | 542.11 KB |
W4_questionnaire_en.pdf
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MD5: | 506ce56fe038baf9ebee9eca848a90e2 |
---|---|
Type of file: | Questionnaire |
File size: | 528.43 KB |
Note:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
Please request access by email: Request access.
As soon as your request has been approved, you can log in and download the data here.
Downloads:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
Please request access by email: Request access.
As soon as your request has been approved, you can log in and download the data here.
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Method_report.pdf
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MD5: | 34904f2977bd22176c7dc3bb12894405 |
---|---|
Type of file: | Methods Report |
File size: | 449.37 KB |
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2566
Abstract: Es handelt sich um Zusatzmaterial zu einem voraussichtlich Ende 2023 erscheinenden Beitrag zum Sammelband von: Garsztecki, Stefan; Laux, Thomas; Nebelin Marian (Hrsg.): B ... more
Abstract: Es handelt sich um Zusatzmaterial zu einem voraussichtlich Ende 2023 erscheinenden Beitrag zum Sammelband von: Garsztecki, Stefan; Laux, Thomas; Nebelin Marian (Hrsg.): B ... more
Availability: Free access (with registration)
License: CC BY-NC-SA 4.0: Namensnennung - Nicht kommerziell – Weitergabe unter gleichen Bedingungen (https://creativecommons.org/licenses/by-nc-sa/4.0/deed.de)
Subject area: [Soziologie [=] politische Willensbildung, politische Soziologie, politische Kultur [=] Allgemeine Soziologie, Makrosoziologie, spezielle Theorien und Schulen, Entwicklung und Geschichte der Soziologie]
Topics: right-wing extremist party, regional comparison, election to the Bundestag, social milieu, inequality
Date(s) of Data Collection: 2022-08; 2022-10
Geographic coverage: Germany / DE
Geographic coverage (free): [Sachsen, Bayern]
Universe: 401 Landkreise und kreisfreie Städte in Deutschland
Primärforschende, Institution: Polenz, Julian; Otto-Friedrich-Universität Bamberg
Publication year: 2023
DOI: 10.7802/2566
Study number: SDN-10.7802-2566
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2566
Publications: Julian Polenz (zur Publikation angenommen, voraussichtlich 2023): Die Wahlmobilisierung der AfD in Sachsen und Bayern - Milieus, Framing und Koalitionen mit der »neuen« Rechten im regionalen Vergleich. In: Garsztecki, Stefan; Laux, Thomas; Nebelin Marian (Hrsg.):
Brennpunkte der »neuen« Rechten. Globale Entwicklungen und die Lage in Sachsen. Bielefeld: transcript.
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Kreisdaten_unterdurchschnittlich.csv
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MD5: | 21fcc1b0a36084c60e94a87b77ca0996 |
---|---|
Type of file: | Research Data |
File size: | 13.76 KB |
Version number: | 1 |
Version date: | 2023-05-03 |
Language: | German / de |
Number of variables: | 9 |
Number of units: | 240 |
Source | https://regionalatlas.statistikportal.de/; https://www.inkar.de/; https://www.regionalstatistik.de/genesis/online |
Software and Version | R-Studio |
Additional information about the file | Die Datei enthält alle Landkreise und kreisfreien Städte, in denen die AfD bei der Bundestagswahl 2021 Wahlergebnisse ≤ 10,3 Prozent erzielte. Die Datei kann eigelesen werden mit dem Skript Clusteranalyse_Julian Polenz.R |
Geographical location - State, Country (according to ISO-3166): | Germany / DE |
Geographical location - Region: | Landkreise und kreisfreie Städte |
Universe: | 401 Landkreise und kreisfreie Städte in Deutschland |
Kreisdaten_überdurchschnittlich.csv
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MD5: | dc0f7d252698f55fd4bf6ad0af50dac5 |
---|---|
Type of file: | Research Data |
File size: | 9.16 KB |
Version number: | 1 |
Version date: | 2023-05-03 |
Language: | German / de |
Number of variables: | 9 |
Number of units: | 155 |
Source | https://www.inkar.de/,https://regionalatlas.statistikportal.de/,https://www.regionalstatistik.de/genesis/online |
Software and Version | R-Studio |
Additional information about the file | Die Datei enthält die Landkreise und kreisfreien Städte, in denen die AfD bei der Bundestagswahl 2021 ein Wahlergebnis > 10,3 Prozent erzielte. Aufgrund fehlender Werte zu den Kirchenmitgliedschaften (Variable Kirche) sind folgende Kreise nicht im Datensatz enthalten: Ludwigslust-Parchim, Mecklenburgische Seenplatte, Nordwestmecklenburg, Rostock, Vorpommern-Greifswald und Vorpommern-Rügen. Die Einheiten und exakten Variablenbezeichnungen sind im Artikel enthalten. Die Datei kann eigelesen werden mit dem Skript Clusteranalyse_Julian Polenz.R |
Geographical location - Region: | Landkreis |
Universe: | 401 Landkreise und kreisfreie Städte Deutschlands |
Data collection mode: | Other |
QCA_Rohdaten_22.csv
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MD5: | b4ae90078570dc313128257cb6bf82d8 |
---|---|
Type of file: | Research Data |
File size: | 1.26 KB |
Version number: | 1 |
Version date: | 2023-05-03 |
Language: | German / de |
Number of variables: | 9 |
Number of units: | 22 |
Additional information about the file | Die Datei enthält die Rohdaten der QCA (Clustermittelwerte). Der Datensatz kann eingelesen werden über das Skript QCA_Julian Polenz.R |
Geographical location - State, Country (according to ISO-3166): | Germany / DE |
Geographical location - Region: | Cluster aus Landkreisen |
Purpose of use:
The download of these files requires a login at GESIS. Registration at GESIS is free of charge, open to all and gives you access to various GESIS services.
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Downloads:
Clusteranalyse_Julian Polenz.R
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MD5: | 1c41500aec69360597cb5bafb780ef5f |
---|---|
Type of file: | Syntax |
File size: | 4.55 KB |
Version number: | 2 |
Version date: | 2023-05-26 |
Language: | German / de |
Software and Version | R-Studio |
Additional information about the file | Die Datei enthält das R-Skript zur Clusternalyse. Als Datensätze müssen die beiden Dateien "Kreisdaten_unterdurchschnittlich.csv" und "Kreisdaten_überdurchschnittlich.csv" eingelesen werden |
QCA_Julian Polenz.R
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MD5: | f85a734d14e000c8313233fe4d0b3f21 |
---|---|
Type of file: | Syntax |
File size: | 7.43 KB |
Version number: | 1 |
Version date: | 2023-05-26 |
Language: | German / de |
Software and Version | R-Studio |
Additional information about the file | Die Datei enthält den R-Code der QCA. Als Datensatz muss die Datei "QCA_Rohdaten_22.csv" eingelesen werden. |
The download of these files requires a login at GESIS. Registration at GESIS is free of charge, open to all and gives you access to various GESIS services.
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Zusatzmaterial_Julian Polenz_Die Wahlmobilisierung der AfD in Sachsen und Bayern.pdf
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MD5: | 888976841fbdba71c4fa4611f7f2a04d |
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Type of file: | Methods Report |
File size: | 1.38 MB |
Version number: | 3 |
Version date: | 2023-05-26 |
Language: | German / de |
Additional information about the file | Die Datei enthält methodische Anmerkungen. |
Busemeyer, Marius R.; Diehl, Claudia; Bellani, LunaKoos, Sebastian; Schmelz, Katrin; Selb, Peter; Hinz, Thomas
Cluster of Excellence "The Politics of Inequality" (Konstanz). Data File Version 1.0.0, https://doi.org/10.7802/2456
Other Title (type): COVID-19 and Social Inequality - May 2021 (Alternative title)
Abstract: To develop a better understanding of how people in Germany handle the social and political consequences of the Corona (COVID-19) crisis, the Cluster of Excellence "The Po ... more
Abstract: To develop a better understanding of how people in Germany handle the social and political consequences of the Corona (COVID-19) crisis, the Cluster of Excellence "The Po ... more
Availability: Free access (with registration)
License: CC BY 4.0: Attribution (https://creativecommons.org/licenses/by/4.0/deed.de)
Subject area: [Political Science [=] Sociology [=] Psychology [=] Economics]
Date(s) of Data Collection: 2021-05; 2021-05
Geographic coverage: [Germany / DE]
Universe: Wohnbevölkerung über 18 Jahre
Sampling Procedure: Non-probability Sample - Quota Sample
Temporal Research Design: cross-section
Mode of Data Collection: Web-based interview
Primärforschende, Institution: Busemeyer, Marius R.; Universität Konstanz, Diehl, Claudia; Universität Konstanz, Bellani, Luna; Universität Konstanz, Koos, Sebastian; Universität Konstanz, Schmelz, Katrin; Universität Konstanz, Selb, Peter; Universität Konstanz, Hinz, Thomas; Universität Konstanz
Publication year: 2023
DOI: 10.7802/2456
Study number: SDN-10.7802-2456
Contributor, Institution, Role: [Wöhler, Thomas; Universität Konstanz (Project Manager) [=] Mozer, Konstantin; Universität Konstanz (Data Collector)]
Project funder: Funded by the Deutsche Forschungsgemeinschaft (DFG – German Research Foundation) under Germany‘s Excellence Strategy – EXC-2035/1 – 390681379
Publisher: Cluster of Excellence "The Politics of Inequality" (Konstanz)
Current Version: 1.0.0, https://doi.org/10.7802/2456
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COVID-19 and Social Inequality A - Welle 3.dta
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MD5: | aed5a55cca12058226f8d4890d3efa48 |
---|---|
Type of file: | Research Data |
File size: | 1.46 MB |
Version number: | 1 |
Language: | German / de |
Number of variables: | 186 |
Number of units: | 4027 |
Software and Version | Stata 16.0 |
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Codebook COVID-19 and Social Inequality A - Welle 3.pdf
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MD5: | 4578edc827759aecf42007b68a4bfdf9 |
---|---|
Type of file: | Codebook |
File size: | 1.87 MB |
Version number: | 1 |
Language: | German / de |
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Factsheet COVID-19 and Social Inequality A - Welle 3.pdf
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MD5: | 3a1bfadb793158e14fcbffff32ba0e48 |
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Type of file: | Technical Report |
File size: | 541.94 KB |
Language: | English / en |
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2590
Other Title (type): Socioeconomic Data on Income (Mis-)
Abstract: This dataset is usually no longer distributed.
Please use the latest data set of the study (see "versions" below).
The SOECBIAS data set is an output of the interdiscip ... more
Abstract: This dataset is usually no longer distributed.
Please use the latest data set of the study (see "versions" below).
The SOECBIAS data set is an output of the interdiscip ... more
Availability: Restricted Access
Subject area: [Volkswirtschaftslehre [=] Soziologie]
Date(s) of Data Collection: 2020-03; 2020-03, 2020-06; 2020-07
Geographic coverage: [Deutschland / DE [=] Italien / IT [=] Polen / PL [=] Schweden / SE]
Temporal Research Design: cross-section, Longitudinal (panel study)
Primärforschende, Institution: Beblo, Miriam; Universität Hamburg, Bublitz, Elisabeth; Universität Hamburg, Jäger, Julian; Universität Hamburg, Lohmann, Henning; Universität Hamburg, Wang, Hequn; Universität Hamburg
Publication year: 2023
DOI: 10.7802/2590
Study number: SDN-10.7802-2590
Project funder: Bundesministerium für Arbeit und Soziales
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2590
Version history:
Version number | Changes in this version |
---|---|
2.0.0 (aktuelle Version) | 2024-09-29 In dieser Version wurden die Daten mit zwei weiteren Panelwellen ergänzt. https://doi.org/10.7802/2772 |
1.0.0 | 2023-07-19 https://doi.org/10.7802/2590 |
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soecbias_data_2020_w1_2_panel.dta
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MD5: | 6151728d94dcd7116d40b945bbc39270 |
---|---|
Type of file: | Research Data |
File size: | 15 MB |
Note:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
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SOECBIAS_Fragebogen_Haupterhebung_de.pdf
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MD5: | 725391d5eb214eaf092943c9d501b8fa |
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Type of file: | Questionnaire |
File size: | 587.34 KB |
SOECBIAS_Fragebogen_Nacherhebung_de.pdf
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MD5: | 31f8fdf58e48dc4a8ffec25a72eb2516 |
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Type of file: | Questionnaire |
File size: | 366.89 KB |
SOECBIAS_questionnaire_follow_up_survey_en.pdf
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MD5: | 0f776ebea77865ba885c138e4eb99965 |
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Type of file: | Questionnaire |
File size: | 354.13 KB |
SOECBIAS_questionnaire_main_survey_en.pdf
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MD5: | f6ea2c145a0c3bfce7252630534900af |
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Type of file: | Questionnaire |
File size: | 717.34 KB |
SOECBIAS_questionnaire_main_survey_screenshots_it.pdf
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MD5: | c64fe35b7331479f3e922b3d92de19e6 |
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Type of file: | Questionnaire |
File size: | 1.29 MB |
SOECBIAS_questionnaire_main_survey_screenshots_pl.pdf
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MD5: | c10625e71f4a2ac0078fbd1655c71180 |
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Type of file: | Questionnaire |
File size: | 1.36 MB |
SOECBIAS_questionnaire_main_survey_screenshots_se.pdf
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MD5: | 40fa8a0f53ac9ae5353fa30f4d0742a1 |
---|---|
Type of file: | Questionnaire |
File size: | 1.25 MB |
Note:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
Please request access by email: Request access.
As soon as your request has been approved, you can log in and download the data here.
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Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
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SOECBIAS_Method_report.pdf
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MD5: | 3c24822c945cc436dcc5529b468fd018 |
---|---|
Type of file: | Methods Report |
File size: | 600.96 KB |
Note:
Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
Please request access by email: Request access.
As soon as your request has been approved, you can log in and download the data here.
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Access to this dataset will be granted only for scientific purposes upon request. Attribution is required. Redistribution is not allowed.
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Information__ber_das_Einholen_einer_informierten_Einwilligung_I.pdf
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MD5: | 9db6c0de26e4192a77f0fa9bc50d269c |
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Type of file: | Other Documents |
File size: | 128.41 KB |
Information__ber_das_Einholen_einer_informierten_Einwilligung_II.pdf
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MD5: | ef26c809189aea80c79308af30a942dc |
---|---|
Type of file: | Other Documents |
File size: | 239.24 KB |
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2367
Abstract: Eine detaillierte Beschreibung des replication packages befindet sich in der Zip-Datei "Replication_package.zip", welches aus den Daten (data), Ergebnissen (output) und C ... more
Abstract: Eine detaillierte Beschreibung des replication packages befindet sich in der Zip-Datei "Replication_package.zip", welches aus den Daten (data), Ergebnissen (output) und C ... more
Availability: Free access (with registration)
Subject area: [Political Science [=] Macroeconomics [=] Economic theory and methodology]
Date(s) of Data Collection: 1970; 2016
Universe: 20 Industrieländer mit jährlichen Beobachtungen
Temporal Research Design: Longitudinal (panel study)
Mode of Data Collection: Compilation/Synthesis
Primärforschende, Institution: Pena, Juan; Otto-Friedrich-Universität Bamberg, Proaño, Christian; Otto-Friedrich-Universität Bamberg, Saalfeld, Thomas; Otto-Friedrich-Universität Bamberg
Publication year: 2022
DOI: 10.7802/2367
Study number: SDN-10.7802-2367
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2367
Publications: Proaño, C., Peña, J. C., & Saalfeld, T. (2022). Inequality, Macroeconomic Performance and Political Polarization: A Panel Analysis of 20 Advanced Democracies, Review of Social Economy.
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Replication_package.zip
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MD5: | 609ba18343062219d3ece8e7d257bb12 |
---|---|
Type of file: | Research Data |
File size: | 294.62 KB |
Number of variables: | 21 |
Number of units: | 20 |
Source | Die README-Datei enthält eine detaillierte Beschreibung der Quellen |
Software and Version | Stata 15 |
Cluster of Excellence "The Politics of Inequality" (Konstanz). Data File Version 1.0.0, https://doi.org/10.7802/2486
Abstract: “Fair: Arbeiten in Deutschland” is a web-based survey conducted by researchers from the Cluster of Excellence “The Politics of Inequality” at the University of Konstanz i ... more
Abstract: “Fair: Arbeiten in Deutschland” is a web-based survey conducted by researchers from the Cluster of Excellence “The Politics of Inequality” at the University of Konstanz i ... more
Availability: Free access (without registration)
Embargo until: 2024-12-31
License: CC BY-SA 4.0: Namensnennung – Weitergabe unter gleichen Bedingungen (https://creativecommons.org/licenses/by-sa/4.0/deed.de)
Subject area: [Soziologie [=] Wirtschaftswissenschaften]
Date(s) of Data Collection: 2021-05-06; 2021-08-19
Geographic coverage: Germany / DE
Universe: Beschäftigte in Deutschland (aus Betrieben mit mind. 100 Beschäftigten)
Sampling Procedure: Probability Sample – Multistage Sample
Temporal Research Design: cross-section
Mode of Data Collection: Web-based interview
Primärforschende, Institution: Strauß, Susanne; Universität Konstanz, Hinz, Thomas; Universität Konstanz, Zubanov, Nick; Universität Konstanz, Brüggemann, Ole; Universität Konstanz, Lang, Julia; Institut für Arbeitsmarkt- und Berufsforschung
Publication year: 2022
DOI: 10.7802/2486
Study number: SDN-10.7802-2486
Project funder: Funded by the Deutsche Forschungsgemeinschaft (DFG – German Research Foundation) under Germany‘s Excellence Strategy – EXC-2035/1 – 390681379
Publisher: Cluster of Excellence "The Politics of Inequality" (Konstanz)
Current Version: 1.0.0, https://doi.org/10.7802/2486
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Fair_Arbeiten in Deutschland - Vignetten.dta
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MD5: | b95a3218adccfca7ab4672398c2ac556 |
---|---|
Type of file: | Research Data |
File size: | 2.79 MB |
Language: | German / de,English / en |
Number of variables: | 32 |
Number of units: | 37800 |
Software and Version | Stata 16 |
Fair_Arbeiten in Deutschland.dta
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MD5: | b2e2042834d9bf2962fd15f60ad51003 |
---|---|
Type of file: | Research Data |
File size: | 1.36 MB |
Language: | German / de,English / en |
Number of variables: | 94 |
Number of units: | 7867 |
Software and Version | Stata 16 |
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Fair_Arbeiten in Deutschland_Stata Do-File - Merge of survey and vignette data.do
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MD5: | 88e5e54365ae3554e81a87abccac35d0 |
---|---|
Type of file: | Syntax |
File size: | 1.29 KB |
Language: | English / en |
Software and Version | Stata 16 |
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Codebook_Fair_Arbeiten in Deutschland_DE.pdf
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MD5: | acf541564170010b627fb33e20f210e1 |
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Type of file: | Codebook |
File size: | 888.74 KB |
Language: | German / de |
Codebook_Fair_Arbeiten in Deutschland_EN.pdf
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MD5: | 9c0d931326675bce55e6866478d04f00 |
---|---|
Type of file: | Codebook |
File size: | 888.1 KB |
Language: | English / en |
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Field report_Fair_Arbeiten in Deutschland_DE.pdf
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MD5: | c97444b01b069ddf8e189868336529fe |
---|---|
Type of file: | Methods Report |
File size: | 3.81 MB |
Language: | German / de |
Field report_Fair_Arbeiten in Deutschland_EN.pdf
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MD5: | 451036ac11e6d9d33a0a0cdad6a35d95 |
---|---|
Type of file: | Methods Report |
File size: | 3.93 MB |
Language: | English / en |
Busemeyer, Marius R.; Diehl, Claudia; Bellani, LunaKoos, Sebastian; Schmelz, Katrin; Selb, Peter; Hinz, Thomas
Cluster of Excellence "The Politics of Inequality" (Konstanz). Data File Version 1.0.0, https://doi.org/10.7802/2335
Abstract: To develop a better understanding how people in Germany handle the social and political consequences of the Corona (COVID-19) crisis, the Cluster of Excellence "The Polit ... more
Abstract: To develop a better understanding how people in Germany handle the social and political consequences of the Corona (COVID-19) crisis, the Cluster of Excellence "The Polit ... more
Availability: Free access (with registration)
Subject area: [Politikwissenschaft [=] Soziologie [=] Wirtschaftswissenschaften [=] Psychologie]
Date(s) of Data Collection: 2020-10; 2020-11
Geographic coverage: Germany / DE
Universe: Wohnbevölkerung über 18 Jahre
Sampling Procedure: Nicht-WahrscheinlichkeitsauswahI - Quotenstichprobe
Temporal Research Design: cross-section
Mode of Data Collection: Web-based interview
Primärforschende, Institution: Busemeyer, Marius R.; Universität Konstanz, Diehl, Claudia; Universität Konstanz, Bellani, Luna; Universität Konstanz, Koos, Sebastian; Universität Konstanz, Schmelz, Katrin; Universität Konstanz, Selb, Peter; Universität Konstanz, Hinz, Thomas; Universität Konstanz
Publication year: 2021
DOI: 10.7802/2335
Study number: SDN-10.7802-2335
Contributor, Institution, Role: [Wöhler, Thomas; Universität Konstanz (Projektmanager/in) [=] Kling, Philipp; Universität Konstanz (Datenerheber/in)]
Project funder: Funded by the Deutsche Forschungsgemeinschaft (DFG – German Research Foundation) under Germany‘s Excellence Strategy – EXC-2035/1 – 390681379
Publisher: Cluster of Excellence "The Politics of Inequality" (Konstanz)
Current Version: 1.0.0, https://doi.org/10.7802/2335
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COVID-19 and Social Inequality B (Wave 2).dta
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MD5: | 1b41b8fedecd24ec43db6f1eda760cf2 |
---|---|
Type of file: | Research Data |
File size: | 3.02 MB |
Version number: | 1 |
Version date: | 2021-11-29 |
Language: | German / de |
Number of variables: | 191 |
Number of units: | 3282 |
Software and Version | Stata 16.0 |
Related ID | https://doi.org/10.7802/2118 (This upload continues) |
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Codebuch Covid-19 and Social Inequality B - Welle 2.pdf
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MD5: | 87841a535435c2e6b6e6c8038ea1a28d |
---|---|
Type of file: | Codebook |
File size: | 1.59 MB |
Version number: | 1 |
Version date: | 2021-11-29 |
Language: | German / de |
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Factsheet - COVID-19 and Social Inequality B - Wave 2.pdf
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MD5: | 26128c0f5d43c6c3cf307ea2735c07a7 |
---|---|
Type of file: | Technical Report |
File size: | 565.49 KB |
Version number: | 1 |
Version date: | 2021-11-29 |
Language: | English / en |
Cluster of Excellence "The Politics of Inequality" (Konstanz). Data File Version 1.0.0, https://doi.org/10.7802/2345
Abstract: Economic inequality at the local level has been shown to be an important predictor of people's political perceptions and preferences. However, research on these questions ... more
Abstract: Economic inequality at the local level has been shown to be an important predictor of people's political perceptions and preferences. However, research on these questions ... more
Availability: Free access (without registration)
Subject area: [Politikwissenschaft [=] Wirtschaftswissenschaften]
Topics: inequality
Primärforschende, Institution: Theunissen, Gerlinde; Universität Konstanz / Politik-, Verwaltungswissenschaft, Weidmann, Nils B.; Universität Konstanz / Politik-, Verwaltungswissenschaft
Publication year: 2021
DOI: 10.7802/2345
Study number: SDN-10.7802-2345
Project funder: Funded by the Deutsche Forschungsgemeinschaft (DFG – German Research Foundation) under Germany‘s Excellence Strategy – EXC-2035/1 – 390681379
Publisher: Cluster of Excellence "The Politics of Inequality" (Konstanz)
Current Version: 1.0.0, https://doi.org/10.7802/2345
Publications: Weidmann, N.B.; Theunissen, G. Estimating Local Inequality from Nighttime Lights. Remote Sens. 2021, 13, 4624.
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dhs_nightlights.csv
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MD5: | 3a79977af51644f423bf1aae7a854ee1 |
---|---|
Type of file: | Research Data |
File size: | 6.91 MB |
Language: | English / en |
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analysis.R
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MD5: | bbba2d00f32b2779478bc0451c10e577 |
---|---|
Type of file: | Syntax |
File size: | 34.41 KB |
Language: | English / en |
Software and Version | R Version 1.4.1106 |
datamanagement.R
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MD5: | d2e099e5c8af78beb8dfd801b405614d |
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Type of file: | Syntax |
File size: | 4.5 KB |
Language: | English / en |
Software and Version | R Version 1.4.1106 |
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