QoG Basic Dataset
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.
QoG Basic Dataset, which consists of approximately the 300 most used variables from QoG Standard Dataset, is a selection of variables that cover the most important concepts related to Quality of Government.
In the QoG Basic CS dataset, data from and around 2018 is included. Data from 2018 is prioritized, however, if no data is available for a country for 2018, data for 2019 is included. If no data exists for 2019, data for 2017 is included, and so on up to a maximum of +/- 3 years.
In the QoG Basic TS dataset, data from 1946 to 2021 is included and the unit of analysis is country-year (e.g., Sweden-1946, Sweden-1947, etc.).
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.
Go to data source
Opens in a new tabhttps://doi.org/10.18157/qogbasjan24
Citation and access
Citation and access
Data access level:
Creator/Principal investigator(s):
- Stefan Dahlberg - Mid Sweden University - Department of Humanities and Social Sciences
- Aksel Sundström - 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
- Natalia Alvarado Pachon - University of Gothenburg - Department of Political Science
- Cem Mert Dalli - University of Gothenburg - Department of Political Science
Research principal:
Data contains personal data:
No
Citation:
Language:
Method and outcome
Method and outcome
Unit of analysis:
Population:
Countries
Time method:
Sampling procedure:
Description of sampling:
Time-series dataset: 194 countries which are members of the United Nations well as previous members of the UN provided that their de facto sovereignty has not changed substantially since they were members. Plus an addition of 17 historical countries. A total of 211 nations. 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:
Data format/data structure:
Data collection - Compilation/Synthesis
Data collection - Compilation/Synthesis
Mode of collection:
Compilation/Synthesis
Source of the data:
- Geographic area
Geographic coverage
Geographic coverage
Geographic description:
Time-series dataset: 211 countries Cross-sectional dataset: 194 countries
Lowest geographic unit:
Country
Highest geographic unit:
Country
Administrative information
Administrative information
Responsible department/unit:
Quality of Government Institute
Topic and keywords
Topic and keywords
CESSDA Topic Classification:
Standard för svensk indelning av forskningsämnen 2025:
Relations
Relations
Homepage:
Related research data:
Metadata
Metadata
Version 1
