QoG Standard Dataset - The QoG Cross-Section Dataset
SND-ID: ext0003-1.
Is part of collection at SND: Quality of Government
Access to data via
Associated documentation
Citation
Creator/Principal investigator(s)
Jan Teorell
- Stockholm University, Department of Political Science
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
... Show more..
Jan Teorell
- Stockholm University, Department of Political Science
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
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.
QoG Standard Dataset is our largest data set consisting of more than 2,000 variables from sources related to the Quality of Government.
In the QoG Standard 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 year
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 Standard Dataset is our largest data set consisting of more than 2,000 variables from sources related to the Quality of Government.
In the QoG Standard 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 Standard TS dataset, data from 1946 to 2021 is included and the unit of analysis is country-year (e.g., Sweden-1946, Sweden-1947, etc.). Show less..
Data contains personal data
No
Language
Unit of analysis
Population
Countries
Time Method
Sampling procedure
Cross-sectional 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.
Time period(s) investigated
2015 – 2021
Data format / data structure
Geographic spread
Geographic description:
Time-series dataset: 211 countries
Cross-sectional dataset: 194 countries
Responsible department/unit
Quality of Government Institute
Identifiers
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)