2002
DOI: 10.1111/1467-9248.00356
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An Empirical Comparison of the Performance of Classical Power Indices

Abstract: Power indices are general measures of the relative a priori voting power of individual members of a voting body. They are useful for both positive and normative analysis of voting bodies particularly those using weighted voting. This paper applies new algorithms for computing the rival Shapley-Shubik and Banzhaf indices for large voting bodies to shareholder voting power in a cross section of British companies. Each company is a separate voting body and there is much variation in ownership between them resulti… Show more

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Cited by 86 publications
(74 citation statements)
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References 26 publications
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“…These indices have been used in some studies of corporate governance (Leech 1988, 2002, Pohjola 1988, Rydqvist 1986, Zingales 1994, Zwiebel 1995), but have not been applied to the measurement of control rights exerted through a pyramid. The two best-known voting power indices are those developed by Shapley and Shubik (1954) and Banzhaf (1965).…”
Section: Voting Power Indicesmentioning
confidence: 99%
“…These indices have been used in some studies of corporate governance (Leech 1988, 2002, Pohjola 1988, Rydqvist 1986, Zingales 1994, Zwiebel 1995), but have not been applied to the measurement of control rights exerted through a pyramid. The two best-known voting power indices are those developed by Shapley and Shubik (1954) and Banzhaf (1965).…”
Section: Voting Power Indicesmentioning
confidence: 99%
“…In order to model family voting behaviour, it is assumed that all owners with identical last names belong to one family and that members of one family voting power as the expected payoff that an owner gets from a fixed prize that is allocated to the winning coalition. Leech (2002) finds that the Banzhaf measure reflects variations in the power of shareholders of British listed companies better than the Shapley-Shubik measure. The measure used here is a linear function of the Banzhaf measure.…”
Section: Measurement Of Potential Loss Of Controlmentioning
confidence: 97%
“…These include [35], [3], [28], [31], [8], and [6]. A survey of these methods can be found in [15,19]. Since the indices are hard to compute, the following methods have been proposed to approximate them [24]:…”
Section: Related Workmentioning
confidence: 99%