QoG Social Policy Dataset

This study is part of the collection Quality of Government

Overview Description Data and documentation

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, data, bureaucracy, public administration, government organizations, political systems, police corruption, political indicators, 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

Cross-sectional dataset: All countries recognized by United Nations as of year 2002, plus Taiwan and Serbia and Montenegro (both as a unit and as two separate states). Total 194 countries.

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.

Data contains personal data

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

Show related research data

Related research data in SND's catalogue

QoG Standard

QoG Expert Survey Data

Download metadata

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). If you are responsible for the catalogue entry, you can update the metadata/data description in DORIS.

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, data, 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, data, bureaucracy, public administration, government organizations, 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

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

Data format / data structure

Numeric

Time period(s) investigated

1970 — 2005

Published: 2013-07-12

Last updated: 2020-02-13