Creator/Principal investigator(s)
Jan Teorell
- Lund University, Department of Political Science
Marcus Samanni - University of Gothenburg, Department of Political Science
Sören Holmberg - University of Gothenburg, Department of Political Science
Bo Rothstein - 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 QoG Basic dataset is smaller version of the QoG Standard dataset. The purpose is to offering the most used and the most qualitative variables in terms of data from the QoG standard dataset in a more accessible package. The data is existing in both time-series (year 1946 to 2015) and cross-section (year 2012).
Purpose:
The primary aim of QoG is to conduct and promote research on corruption. One aim of the QoG
Research principal
Responsible department/unit
University of Gothenburg, Quality of Government InstituteIdentifiers
Data contains personal data
No
Unit of analysis
Population
Countries
Time Method
Sampling procedure
Cross-sectional dataset: 194 countries which are members of the United Nations as well as previous members of the UN provided that their de facto sovereignty has not changed substantially since they were members.
Time period(s) investigated
1946–2015
Geographic spread
Geographic description: Time-series dataset: 211 countries Cross-sectional dataset: 193 countries
Lowest geographic unit
Country
Highest geographic unit
Country
Research area
Government, political systems and organisations
(CESSDA Topic Classification)
Social Sciences, Political Science
(The Swedish standard of fields of research 2011)
Description
A cross-section dataset based on data from and around 2012 of QoG Basic dataset. If there was no data for 2012 on a variable, data from the year after or the year before have been used, up to +/- 3 years.Dahlberg, Stefan, Sören Holmberg, Bo Rothstein, Anna Khomenko & Richard Svensson. 2016. The Quality of Government Basic Dataset, version Jan16. University of Gothenburg: The Quality of Government Institute, http://www.qog.pol.gu.se doi:10.18157/QoGBasJan16
Data format / data structure
Numeric
Creator/Principal investigator(s)
Jan Teorell
- Lund University, Department of Political Science
Marcus Samanni - University of Gothenburg, Department of Political Science
Sören Holmberg - University of Gothenburg, Department of Political Science
Bo Rothstein - University of Gothenburg, Department of Political Science
Keywords
state control, political institutions, corruption, data, bureaucracy, public administration, government organizations
Time period(s) investigated
2012
Description
Data from 1946 to 2014. The unit of analysis is country-year (e.g. Sweden-1946).Historical countries are in most cases denoted with a do-date (e.g. Ethiopia (-1992) and a from-date (Ethiopia (1993-)).
Dahlberg, Stefan, Sören Holmberg, Bo Rothstein, Anna Khomenko & Richard Svensson. 2016. The Quality of Government Basic Dataset, version Jan16. University of Gothenburg: The Quality of Government Institute, http://www.qog.pol.gu.se doi:10.18157/QoGBasJan16
Data format / data structure
Numeric
Creator/Principal investigator(s)
Jan Teorell
- Lund University, Department of Political Science
Marcus Samanni - University of Gothenburg, Department of Political Science
Sören Holmberg - University of Gothenburg, Department of Political Science
Bo Rothstein - University of Gothenburg, Department of Political Science
Keywords
state control, political institutions, corruption, data, bureaucracy, public administration, government organizations
Time period(s) investigated
1946–2015