QoG Social Policy Dataset - Long Time-Series CS Data
SND-ID: ext0004-2.
Is part of collection at SND: Quality of Government
Access to data via
Contact
Stefan Dahlberg
Creator/Principal investigator(s)
Jan Teorell
- Lund University, Department of Political Science
Richard Svensson - University of Gothenburg, Department of Political Science
Marcus Samanni - University of Gothenburg, Department of Political Science
Staffan Kumlin - University of Gothenburg, Department of Political Science
Stefan Dahlberg - University of Gothenburg, Department of Political Science
... Show more..
Jan Teorell
- Lund University, Department of Political Science
Richard Svensson - University of Gothenburg, Department of Political Science
Marcus Samanni - University of Gothenburg, Department of Political Science
Staffan Kumlin - University of Gothenburg, Department of Political Science
Stefan Dahlberg - University of Gothenburg, Department of Political Science
Bo Rothstein - University of Gothenburg, Department of Political Science
Sören Holmberg - University of Gothenburg, Department of Political Science
University of Gothenburg, Quality of Government Institute
Show less..Research principal
University of Gothenburg
- Quality of Government Institute
Description
The QoG Institute is an independent research institute within the Department of Political Science at the University of Gothenburg. Overall 30 researchers conduct and promote research on the causes, consequences and nature of Good Governance and the Quality of Government - that is, trustworthy, reliable, impartial, uncorrupted and competent government institutions.
The main objective of our research is to address the theoretical and empirical problem of how political institutions of high quality can be created and maintained. A second objective is to study the effects of Quality of Government on a number of policy areas, such as health, the environment, social policy, and poverty.
The dataset was created as part of a research project titled “Quality of Government and the Conditions for Sustainable Social Policy”. The aim of the dataset is to promote cross-national comparative research on social policy output and its correlates, with a special focus on the connection between social policy and Quality of Government (QoG).
The data comes in three versions: one cross-sectional dataset, and two
The main objective of our research is to address the theoretical and empirical problem of how political institutions of high quality can be created and maintained. A second objective is to study the effects of Quality of Government on a number of policy areas, such as health, the environment, social policy, and poverty.
The dataset was created as part of a research project titled “Quality of Government and the Conditions for Sustainable Social Policy”. The aim of the dataset is to promote cross-national comparative research on social policy output and its correlates, with a special focus on the connection between social policy and Quality of Government (QoG).
The data comes in three versions: one cross-sectional dataset, and two cross-sectional time-series datasets for a selection of countries. The two combined datasets are called “long” (year 1946-2009) and “wide” (year 1970-2005).
The data contains six types of variables, each provided under its own heading in the codebook: Social policy variables, Tax system variables, Social Conditions, Public opinion data, Political indicators, Quality of government variables.
QoG Social Policy Dataset can be downloaded from the Data Archive of the QoG Institute at http://qog.pol.gu.se/data/datadownloads/data-archive Its variables are now included in QoG Standard.
Purpose:
The primary aim of QoG is to conduct and promote research on corruption. One aim of the QoG Institute is to make publicly available cross-national comparative data on QoG and its correlates.
The aim of the QoG Social Policy Dataset is to promote cross-national comparative research on social policy output and its correlates, with a special focus on the connection between social policy and Quality of Government (QoG).
The dataset combining cross-sectional data and time-series data for a selection of 40 countries spanning the time period 1946-2009.
Samanni, Marcus. Jan Teorell, Staffan Kumlin, Stefan Dahlberg, Bo Rothstein, Sören Holmberg & Richard Svensson. 2012. The QoG Social Policy Dataset, version 4Apr12. University of Gothenburg:The Quality of Government Institute. http://www.qog.pol.gu.se Show less..
Data contains personal data
No
Unit of analysis
Population
Countries
Time Method
Sampling procedure
Non-probability
Time-serie dataset, long and wide: Selected accordning to two criteria. I) countries among the 30 most data-rich countries in the global sample, or II) is a current member of the European Union. Total 40 countries.
Time period(s) investigated
1946 – 2009
Data format / data structure
Geographic spread
Geographic location: Sweden, Australia, Belgium, Bulgaria, Cyprus, Denmark, Estonia, Finland, France, Greece, Ireland, Iceland, Israel, Italy, Japan, Canada, Latvia, Lithuania, Luxembourg, Malta, Mexico, Netherlands, Norway, New Caledonia, Poland, Portugal, Romania, Switzerland, Slovakia, Slovenia, Spain, United Kingdom, Czech Republic, Turkey, Germany, Hungary, United States, Austria, Korea, the Republic of
Geographic description:
Time-series datsets ("long" and "wide"): 40 countries
Cross-sectional dataset: 194 countries
Lowest geographic unit
Country
Highest geographic unit
Country
Responsible department/unit
Quality of Government Institute
Research area
Government, political systems and organisations (CESSDA Topic Classification)
Social sciences (Standard för svensk indelning av forskningsämnen 2011)
Political science (Standard för svensk indelning av forskningsämnen 2011)
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