QoG Social Policy Dataset

This study is part of the collection Quality of Government

This data description has been automatically migrated from University of Gothenburg, Quality of Government Institute to SND’s research data catalogue. The level of documentation may therefore differ from other data descriptions in the catalogue.

Overview Description Data

Creator/Principal investigator(s):

University of Gothenburg, Quality of Government Institute

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

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 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). Show less..

Subject area:

government, political systems and organisations (CESSDA Topic Classification)
Social Sciences, Political Science (The Swedish standard of fields of research 2011)

Keywords:

fiscal policy, public opinion, state control, political institutions, corruption, political indicators, data, political systems, bureaucracy, public administration, government organizations, police corruption, time series data, political, social and economic issues

Principal organisation:

University of Gothenburg

Accessibility status:

Access to data through an external actor
Data are freely accessible

Homepage:

QOG - The Quality of Government Insitute

Responsible department/unit:

University of Gothenburg, Quality of Government Institute

Creator/Principal investigator(s):

University of Gothenburg, Quality of Government Institute

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

Identifiers:

SND-ID: EXT 0004

Description:

Time period(s) investigated:

1946 — 2009

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, Korea (the Republic of), Czech Republic, Turkey, Germany, Hungary, United States, Austria

Geographic description: Time-series datsets ("long" and "wide"): 40 countries Cross-sectional dataset: 194 countries

Lowest geographic unit:

Country

Highest geographic unit:

Country

Unit of analysis:

Geographic unit

Population:

Countries

Time Method:

Cross-section

Time series

Sampling procedure:

Total universe/Complete enumeration

Non-probability

Subject area:

government, political systems and organisations (CESSDA Topic Classification)
Social Sciences, Political Science (The Swedish standard of fields of research 2011)

Keywords:

Contact for questions about the data:

Stefan Dahlberg

Is part of collection at SND:

Quality of Government

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Publications

Link to publication list:

⇗ Articles using QoG data

If you have published anything based on these data, please notify us with a reference to your publication(s).

Dataset 1

The QoG Social Policy Cross-Section Data

Creator/Principal investigator(s):

University of Gothenburg, Quality of Government Institute

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

Description:

A cross-section dataset based on data from and around 2002 of QoG Social Policy-dataset. If there was no data for 2002 on a variable, data from the year closest year available have been used, however not further back in time than 1995.

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

Keywords:

public opinion, state control, political institutions, corruption, political indicators, data, political systems, bureaucracy, public administration, government organizations, political, social and economic issues

Data format / data structure:

Numeric

Time period(s) investigated:

2002

Dataset 2

The QoG Social Policy Long Time-Series CS Data

Creator/Principal investigator(s):

University of Gothenburg, Quality of Government Institute

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

Description:

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

Keywords:

fiscal policy, public opinion, state control, political institutions, corruption, political indicators, data, political systems, bureaucracy, public administration, government organizations, time series data, political, social and economic issues

Data format / data structure:

Numeric

Time period(s) investigated:

1946 — 2009

Dataset 3

The QoG Social Policy Wide Time-Series CS Data

Creator/Principal investigator(s):

University of Gothenburg, Quality of Government Institute

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

Description:

The dataset combining cross-sectional data and time-series data for a selection of 40 countries. The dataset is specifically tailored for the analysis of public opinion data over time, instead uses country as its unit of observation, and one variable for every 5th year from 1970-2005 (or, one per module of each public opinion data source).

Samanni, Marcus. Jan Teorell, Staffan Kumlin, Stefan Dahlberg, Bo Rothstein, Sören Holmberg & Richard Svensson. 2012. The QoG Social Policy Dataset, version

Keywords:

Data format / data structure:

Numeric

Time period(s) investigated:

1970 — 2005

Published: 2013-07-12