| dc.description.abstract | This paper presents a new measure of electoral democracy, or "polyarchy", for a global sample of 173 countries from 1900 to the present based on the Varieties of Democracy (V-Dem) data, enabling us to address several deficiencies in extant measures of electoral democracy, such as Freedom House and Polity. The V-Dem data derive from expert polls of more than 2,600 country experts from around the world, with on average 5 experts rating each indicator. By measuring the five components of “Elected officials”, “Free and fair elections”, “Freedom of expression”, “Associational autonomy” and “Inclusive citizenship” separately, we anchor this new index directly in Dahl’s (1971) extremely influential theoretical framework, and can both show how well indicators match components as well as how components map the overall index. We also find that characteristics of the V-Dem country experts do not systematically predict their ratings on our indicators, nor differences between these ratings and existing measures such as FH and Polity, with which they are strongly correlated. Finally, we provide systematic measures of uncertainty (or measurement error) at every level. We showcase the usefulness of the new measure for understanding developments of electoral democracy over time, for comparing countries at a particular time point, and for understanding its relationship to economic modernization through disaggregation. | sv |
| dc.description.sponsorship | Previous versions of this paper were presented at the APSA Annual Meeting in Washington, DC, August 28-31, 2014, at the Carlos III-Juan March Institute of Social Sciences, Madrid, November 28, 2014, and at the European University Institute, Fiesole, January 20, 2016. Any remaining omissions are the sole responsibility of the authors. This research project was supported by Riksbankens Jubileumsfond, Grant M13- 0559:1, PI: Staffan I. Lindberg, V-Dem Institute, University of Gothenburg, Sweden; by Swedish Research Council, Grant C0556201, PI: Staffan I. Lindberg, V-Dem Institute, University of Gothenburg, Sweden and Jan Teorell, Department of Political Science, Lund University, Sweden; and by Knut and Alice Wallenberg Foundation to Wallenberg Academy Fellow Staffan I. Lindberg, Grant 2013.0166, V-Dem Institute, University of Gothenburg, Sweden; as well as by internal grants from the Vice-Chancellor’s office, the Dean of the College of social Sciences, and the Department of Political Science at University of Gothenburg. Jan Teorell also wishes to acknowledge support from the Wenner-Gren Foundation and the Fernand Braudel Senior Fellowship at the European University Institute, Florence, which made it possible for him to work on this paper. We performed simulations and other computational tasks using resources provided by the Notre Dame Center for Research Computing (CRC) through the High Performance Computing section and the Swedish National Infrastructure for Computing (SNIC) at the National Supercomputer Centre in Sweden. We specifically acknowledge the assistance of In-Saeng Suh at CRC and Johan Raber at SNIC in facilitating our use of their respective systems. | sv |
