A Measurement Error Model of Dichotomous Democracy Status

15 Pages Posted: 4 Feb 2016  

Sean J. Taylor

Unaffiliated Authors - Independent

Jay Ulfelder

Unaffiliated Authors - Independent

Date Written: May 20, 2015

Abstract

We use a Bayesian measurement error model to derive a probabilistic measure of democracy from several existing dichotomous data sets. This approach accepts the premise that democracy may usefully be construed as a bivalent concept for certain theoretical and technical purposes, but it also makes more explicit our collective uncertainty about where some cases fall in that binary scheme. We believe the resulting data provide a firmer foundation than measures of countries' degree of democracy for studies that require a dichotomous measure of regime type.

Keywords: political science, democracy, Bayesian modeling

JEL Classification: P16, C11

Suggested Citation

Taylor, Sean J. and Ulfelder, Jay, A Measurement Error Model of Dichotomous Democracy Status (May 20, 2015). Available at SSRN: https://ssrn.com/abstract=2726962 or http://dx.doi.org/10.2139/ssrn.2726962

Sean J. Taylor

Unaffiliated Authors - Independent

No Address Available
United States

Jay Ulfelder (Contact Author)

Unaffiliated Authors - Independent ( email )

No Address Available

Register to save articles to
your library

Register

Paper statistics

Downloads
98
rank
243,656
Abstract Views
673
PlumX