QoG Standard Dataset - The QoG Time-Series Dataset

Cem Mert Dalli

QoG Standard Dataset - The QoG Time-Series 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 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.). 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.). Historical countries are in most cases denoted with a do-date (e.g. Ethiopia (-1992) and a from-date (Ethiopia (1993-)).

Citation and access

Data access level:

Data are openly accessible

Creator/Principal investigator(s):

Jan Teorell - Stockholm University - Department of Political Science
Opens a new window at orcid.org.
ORCIDOpens in a new tab
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
Opens a new window at ror.org.
ROROpens in a new tab

Research principal:

University of Gothenburg
Opens a new window at ror.org.
ROROpens in a new tab

Data contains personal data:

No

Citation:

Language:

English

Method and outcome

Unit of analysis:

Geographic unit

Population:

Countries

Time method:

Sampling procedure:

Total universe/Complete enumeration

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 well as previous members of the UN provided that their de facto sovereignty has not changed substantially since they were members.