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Standard Dataset

The QoG Standard dataset is our largest dataset. It consists of approximately 2100 variables from more than 100 data sources related to Quality of Government.

Citation

When using QoG Standard Data, make sure to cite both the original source and out publication:

Teorell, Jan, Stefan Dahlberg, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon & Sofia Axelsson. 2020. The Quality of Government Standard Dataset, version Jan20. University of Gothenburg: The Quality of Government Institute, http://www.qog.pol.gu.se doi:10.18157/qogstdjan20

In the QoG Standard CS dataset, data from and around 2016 is included. Data from 2016 is prioritized, however, if no data is available for a country for 2016, data for 2017 is included. If no data exists for 2017, data for 2015 is included, and so on up to a maximum of +/- 3 years.

In the QoG Standard TS dataset, data from 1946 to 2019 is included and the unit of analysis is country-year (e.g., Sweden-1946, Sweden-1947, etc.).

In the Codebook, you can find a description of all data sources and variables. We provide a list of the variables categorized into eighteen thematic topics. Detailed descriptions of all variables are sorted by original data sources. We hope that this will facilitate your search for variables.

In 2009, the QoG Standard Dataset received the Lijphart, Przeworski, Verba Award for Best Dataset by the APSA Comparative Politics Section.

If you have problem with opening The QoG Standard datasets in Stata:

The Stata/IC has limitation in 2 047 variables. The QoG Standard datasets are bigger and therefore users of the Stata/IC cannot use these datasets in its original form. If you have access to Stata/IC, you can only open the variables in the QoG Standard dataset that you need for studies.

First, download the file in .dta format to your computer. Then, open Stata/IC in the command window to run the command:

use list of variables using "C:\linktofile\qog_std_cs_jan19"

list of variables can be any of the following:

• list of all variable names needed

• all variables of one or several data sources, you should indicate the prefix of the data source (e.g., bl_*, ciri_*)

• interval between variables (e.g., aid_cpnc – vi_ext)

Note: All lists of prefixes and variable names are presented in the codebook. We recommend you to always add and open the identification variables: cname, ccode and year (for time-series).