QoG Basic Dataset - Time-Series Data

SND-ID: ext0009-2.

Is part of collection at SND: Quality of Government

Access to data via

Citation

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

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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

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Research principal

University of Gothenburg - Quality of Government Institute rorId

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 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

... Show more..
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.).

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.

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.).

Historical countries are in most cases denoted with a do-date (e.g. Ethiopia (-1992) and a from-date (Ethiopia (1993-)). Show less..

Data contains personal data

No

Language

Method and outcome

Unit of analysis

Population

Countries

Sampling procedure

Total universe/Complete enumeration
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

1946 – 2021

Data format / data structure

Data collection
  • Mode of collection: Compilation/Synthesis
  • Source of the data: Geographic area
Geographic coverage

Geographic spread

Geographic description:
Time-series dataset: 211 countries

Cross-sectional dataset: 194 countries

Lowest geographic unit

Country

Highest geographic unit

Country

Administrative information

Responsible department/unit

Quality of Government Institute

Topic and keywords

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)

Publications