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Data

Electoral democracy

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Democracy

What you should know about this indicator

We operationalize electoral democracy as a series of necessary-and-sufficient conditions arrayed in an ordinal scale. The resulting Lexical Index of Electoral Democracy (LIED). In this fashion, we arrive at an index that performs a classificatory function, each level identifies a unique and theoretically meaningful regime type, as well as a discriminating function. To generate the lexical index from the six binary variables described above, a country-year is assigned scores (0 to 6) based on the following criteria:

0: legislative_election=0 & executive_elections=0 (regime type: non-electoral autocracies)

1: legislative_elections=1 or executive_elections=1 & multi-party_legislative_elections=0 (regime type: one-party autocracies, few cases where executive elections are on track but there is no functioning elected parliament)

2: legislative_elections=1 & multi-party_legislative_elections=1 & executive_elections=0 (regime type: multiparty autocracies without elected executive – generally because a monarch influences government appointment and removal or foreign powers dominate political decision-making or has significant veto powers)

3: legislative_elections=1 & multi-party_legislative_elections=1 & executive_elections=1 & competitive_elections=0 (regime type: multiparty autocracies)

4: legislative_elections=1 & multi-party_legislative_elections=1 & executive_elections=1 & competitive_elections=1 & male_suffrage=0 (regime type: exclusive democracies)

5: legislative_elections=1 & multi-party_legislative_elections=1 & executive_elections=1 & competitive_elections=1 & male_suffrage=1 & female_suffrage=0 (regime type: male democracies)

6: legislative_elections=1 & multi-party_legislative_elections=1 & executive_elections=1 & competitive_elections=1 & male_suffrage=1 & female_suffrage=1 (regime type: electoral democracies)

Equivalent indicator: lexical_index

Electoral democracy
Identifies the political regime of a country. It distinguishes between non-electoral autocracies (score 0), one-party autocracies (score 1), multi-party autocracies without elected executive (score 2), multi-party autocracies (score 3), exclusive democracies (score 4), male democracies (score 5), electoral democracies (score 6).
Source
Skaaning et al. (2023) – processed by Our World in Data
Last updated
May 9, 2024
Next expected update
May 2025
Date range
1789–2022

Sources and processing

This data is based on the following sources

LIED is the most comprehensive dataset on democracy in terms of country-years. It covers all independent countries and most semi-sovereign polities and overseas colonies, protectorates, etc. within the 1789 to 2020 timespan. Scores have also been assigned to the units in the case of short-term foreign occupation. Scores for each indicator reflect the status of a country on the last day of the calendar year (31 December) and are not intended to reflect the mean value of an indicator across the previous 364 days. Coding decisions are based on country-specific sources.

All original coding has been done by Svend-Erik Skaaning. Svend-Erik Skaaning has developed the conceptual distinctions and cumulative logic associated with the lexical index in collaboration with John Gerring. The distinctions regarding modes of democratic transition and breakdown have been developed by Svend-Erik Skaaning, 1 who has also developed the turnover variables. Henrikas Bartusevicius was in charge of empirical analyses and the coding linked to the inter-coder reliability test presented in the dataset paper (see below).

The dataset consists of 14 original indicators and two original indices. The LIED dataset offers indicators on whether legislative elections are on track (legislative_elections), whether (direct or indirect) executive elections are on track (executive_elections), whether multiple parties are able to run for legislative elections (multi-party_legislative_elections), whether there is universal male suffrage (male_suffrage), and whether there is universal female suffrage (female_suffrage),2 whether elections are genuinely contested (competitive_elections), whether political liberties in the form of freedom of expression, assembly, and association, are respected (political_liberties), whether countries experienced democratic transition in a given year (democratic_transition), the mode of democratic transition (transition_type), whether countries experienced democratic breakdown in a given year (democratic_breakdown), the mode of democratic breakdown (breakdown_type),whether elections led to a government turnover (turnover_event), and whether a period of competitive elections has been characterized by at least one government turnover (turnover_period). Finally, the data are used to construct two indices, i.e., the Lexical Index of Electoral Democracy (lexical_index) and an extended version called Lexical Index of Electoral Democracy+ (lexical_index_plus).

Retrieved on
May 9, 2024
Retrieved from
https://ps.au.dk/en/research/research-projects/dedere/datasets
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Skaaning, Svend-Erik, John Gerring and Henrikas Bartusevičius. 2015. A Lexical Index of Electoral Democracy. Comparative Political Studies 48(12):1491-1525.

How we process data at Our World in Data

All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

Read about our data pipeline
Notes on our processing step for this indicator

Data for former USSR member states has been obtained by imputing the values of the USSR. This includes: Russia, Ukraine, Belarus, Latvia, Lithuania, Estonia, Armenia, Azerbaijan, Georgia, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan, and Moldova.

Data for former Czechoslovakia member states has been obtained by imputing the values of Czechoslovakia. This includes: Czech Republic and Slovakia.

Data for former Yugoslavia member states has been obtained by imputing the values of Yugoslavia. This includes: Slovenia, Croatia, Bosnia and Herzegovina, Serbia, Montenegro, Kosovo, and North Macedonia.

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Citations

How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: Electoral democracy”, part of the following publication: Bastian Herre, Lucas Rodés-Guirao and Esteban Ortiz-Ospina (2013) - “Democracy”. Data adapted from Skaaning et al.. Retrieved from https://ourworldindata.org/grapher/electoral-democracy-lexical [online resource]
How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

Skaaning et al. (2023) – processed by Our World in Data

Full citation

Skaaning et al. (2023) – processed by Our World in Data. “Electoral democracy” [dataset]. Skaaning et al., “Lexical Index of Electoral Democracy (LIED) v6.5” [original data]. Retrieved December 11, 2024 from https://ourworldindata.org/grapher/electoral-democracy-lexical