1997
DOI: 10.1016/s0261-3794(97)00003-6
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Effective number of parties for incomplete data

Abstract: In the presence of a large lumped category of 'Other' parties the effective number of parties cannot be known exactly. Some approaches used produce large discrepancies. This note shows how the effective number still can be estimated with fair accuracy. The same issue arises with the measures of disproportionality between seats and votes.

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Cited by 90 publications
(42 citation statements)
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“…In particular, reducing a small component's share from one seat to zero might be considered more grave than a one-seat shift among large components. 10 For comparisons of D and Gh with respect to this 'lumping of residuals ' criterion, see Appendix of Taagepera (1997).…”
Section: Notesmentioning
confidence: 99%
“…In particular, reducing a small component's share from one seat to zero might be considered more grave than a one-seat shift among large components. 10 For comparisons of D and Gh with respect to this 'lumping of residuals ' criterion, see Appendix of Taagepera (1997).…”
Section: Notesmentioning
confidence: 99%
“…Fragmentation characterizes the viable number of competitors. This is not just the number of parties, but also the so-called effective number of parties, an index proposed by Taagepera (1997). It accounts for the strength of the parties, thus providing a measure of the realistic intensity of competition and number of competitors.…”
Section: Criteriamentioning
confidence: 99%
“…Effective number of parties, asymmetry, and volatility: variance analytic comparisons between regions a,b Effective number of electoral parties: according toTaagepera's (1997) measure no. 1. e Asymmetry: CDU/CSU share minus SPD share.…”
mentioning
confidence: 99%
“…The number and size of the smallest components, on which the low-a indices (a ϭ 0 and a→1, in particular) depend, may not be known because data sources lump them into an 'Others' category. This problem of indeterminacy becomes manageable only when a ϭ 2 is reached, and even then it presents problems at times (Taagepera, 1997). Table 1 shows the values of N 0 and N ϱ , in addition to N.…”
Section: The Largest Component Approachmentioning
confidence: 99%