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ELECTOOL: Stata module containing toolkit to analyze electoral data

Listed author(s):
  • Antonio M. Jaime-Castillo


    (University of Granada)

ELECTOOL is a toolkit to analyze electoral data. It can be used to analyze both aggregate data and individual voting data. It includes two programs: v2seats and electind. v2seats allocates seats to parties, using different allocation methods. Majority formulas include majority and plurality. Highest average formulas include: D'Hondt, St. Laguë, modified St. Laguë, Hungarian St. Laguë, Danish method, Imperiali's divisors, Huntington method and Adams method. Largest remainder formulas include Hare, Hagenbach-Bischoff, Droop, Imperiali, and reinforced Imperiali quotas. It can be used at different aggregation levels, and allows for different electoral thresholds. Customized formulas are also available. electind computes electoral indicators, such as proportionality, electoral and parliamentary fragmentation, polarization and volatility. Proportionality indicators include: Rae, Loosemore-Hanby, Gallagher, Lijphart, St. Laguë, maximum deviation, maximum advantage ratio, Grofman index, and Cox-Shugart. Fragmentation indicators include: Rae's F, ENP, Taagepera's LC, Dunleavy-Boucek, Molinar's NP, Kesselman-Wildgen, concentration and competitiveness. Polarization is calculated using both absolute and Euclidean distances. It can be used at different aggregation levels. It also computes volatility between elections.

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Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S456973.

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Programming language: Stata
Requires: Stata version 9
Date of creation: 23 Oct 2008
Date of revision: 28 Jun 2010
Handle: RePEc:boc:bocode:s456973
Note: This module should be installed from within Stata by typing "ssc install electool". Windows users should not attempt to download these files with a web browser.
Contact details of provider: Postal:
Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA

Phone: 617-552-3670
Fax: +1-617-552-2308
Web page:

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