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7 - Explanatory Analysis with Varieties of Democracy Data

Published online by Cambridge University Press:  25 January 2020

Michael Coppedge ,
John Gerring ,
Adam Glynn ,
Carl Henrik Knutsen ,
Staffan I. Lindberg ,
Daniel Pemstein ,
Brigitte Seim ,
Svend-Erik Skaaning  and
Jan Teorell
With
David Altman ,
Michael Bernhard ,
Fernando Bizzarro ,
Joshua Krusell ,
Matthew Maguire ,
Kyle Marquardt ,
Kelly McMann ,
Valeriya Mechkova ,
Farhad Miri  and
Josefine Pernes
...Show all authors
Michael Coppedge
Affiliation:
University of Notre Dame, Indiana
John Gerring
Affiliation:
University of Texas, Austin
Adam Glynn
Affiliation:
Emory University, Atlanta
Carl Henrik Knutsen
Affiliation:
Universitetet i Oslo
Staffan I. Lindberg
Affiliation:
Göteborgs Universitet, Sweden
Daniel Pemstein
Affiliation:
North Dakota State University
Brigitte Seim
Affiliation:
University of North Carolina, Chapel Hill
Svend-Erik Skaaning
Affiliation:
Aarhus Universitet, Denmark
Jan Teorell
Affiliation:
Lunds Universitet, Sweden
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Summary

Four characteristics of V-Dem data present distinct opportunities and challenges for explanatory analysis: (1) the large number of democracy indicators (i.e., variables), (2) the measurement of concepts by multiple coders filtered through the V-Dem measurement model, (3) the large number of years in the data set, and 4) the ex ante potential for dependence across countries (generically referred to as spatial dependence). This chapter discusses 3 challenges and 10 opportunities that are implied by these characteristics. At the end of this chapter, we also discuss three assumptions that are implicit in most analyses of observational indicators of macro-features at the national level, which aim to draw conclusions about causal relationships.

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Varieties of Democracy
Measuring Two Centuries of Political Change
 , pp. 178 - 204
Publisher: Cambridge University Press
Print publication year: 2020

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