Data on International Election Monitoring: Three Global Datasets on Election Quality, Election Events and International Election Observation (ICPSR 31461)

Published: Aug 29, 2014

Principal Investigator(s):
Judith Kelley, Duke University

https://doi.org/10.3886/ICPSR31461.v2

Version V2

This data collection focuses on elections and election monitoring throughout the world. Dataset 1, Data on International Election Monitoring (DIEM), codes the assessement and activities of international election monitoring organizations to national-level legislative and presidential elections in 108 countries from 1980-2004. Dataset 2, Quality of Elections Data (QED), codes the quality of national-level legislative and presidential elections in 172 countries from 1978 to 2004. Dataset 3, Supplementary Election Data, includes supplementary information on all direct presidential and legislative elections in 182 countries from 1975-2004.

Kelley, Judith. Data on International Election Monitoring: Three Global Datasets on Election Quality, Election Events and International Election Observation. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2014-08-29. https://doi.org/10.3886/ICPSR31461.v2

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National Science Foundation (0550111)

Benin Papua New Guinea Angola Cambodia Paraguay Kazakhstan Solomon Islands Grenada Latvia Mongolia Morocco Mali Bosnia-Hercegovina Panama Guatemala Guyana Chile Nepal Argentina Georgia (Republic) Ukraine Tanzania Zambia Ghana Turkey Namibia Taiwan South Africa Trinidad and Tobago Jamaica Peru Yemen Fiji United States Guinea Madagascar Ivory Coast Thailand Equatorial Guinea Costa Rica Malawi Poland Nigeria Bulgaria Tunisia Croatia Sri Lanka Uruguay Kenya Spain Azerbaijan Venezuela Liberia Czech Republic Swaziland Tajikistan Estonia Cameroon Malaysia Timor Global Armenia Mozambique El Salvador Brazil Algeria Slovenia Lesotho German Democratic Republic Colombia Ecuador Hungary Moldova Belarus Mauritius Albania Senegal Honduras Macedonia Haiti Afghanistan Burundi Sierra Leone Bolivia Russia Pakistan Gambia Slovakia France Serbia Lithuania Kyrgyzstan Romania Togo Niger Philippines Rwanda Uzbekistan Bangladesh Nicaragua Botswana Democratic Republic of Congo Dominican Republic Uganda Mexico Zimbabwe Suriname Montenegro Indonesia

country

1975 -- 2004

2007 -- 2009

For more information pertaining to the variable COW in parts 2 and 3, please refer to the Correlates of War Web site.

For additional information on Data on International Election Monitoring: Three Global Datasets on Election Quality, Election Events and International Election Observation, please refer to the Project on International Election Monitoring Web site.

Users of these data are asked to include a citation to one of the following: Kelley, Judith. 2012. Monitoring Democracy: When International Election Observation Works and Why It Often Fails. Princeton, New Jersey, Princeton University Press. Kelley, Judith and Kolev, Kiril. "Election Quality and International Observation 1975-2004: Two New Datasets" (October 19, 2010).

Variable @_MERGE was changed to MERGE for compatibility with SAS.

Variables A1, SA1, and MAXA1 contained non-integer values which were changed to reflect the values provided in the supplied documentation as well as to allow labeling within STATA.

This data set codes the quality of national level legislative and presidential elections in 172 countries from 1978 to 2004

nation

aggregate data

2011-12-01

2014-08-29

2014-08-29 The P.I. has updated codes for several variables in Data Set 2, Quality of Elections Data, and Data Set 3 Supplementary Election Data. Documentation for Data Set 2, Quality of Elections Data, has also been updated.

2011-12-01 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Created variable labels and/or value labels.
  • Checked for undocumented or out-of-range codes.

The data are not weighted

Notes

  • Data in this collection are available only to users at ICPSR member institutions.

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