Abstract
The form of competition policy which concerns us in this study is that which has been operated under the 1956 Restrictive Trade Practices Act (and subsequent amending legislation). This set up the Restrictive Practices Court and required the registration of restrictive agreements. Firms who were parties to these agreements either defended them in the Court against the presumption that they were contrary to the public interest, or abandoned them. Abandonment might be complete; but frequently the firms simply removed the restrictive sections of the agreements, a procedure known as ‘filleting’. We were not, except peripherally where its work overlapped with that of the Court, and those serving it, concerned with the effects of the work of the Monopolies Commission.1
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Chapter 1
See J. D. Gribbin, ‘Recent Antitrust Developments in the United Kingdom’, Antitrust Bulletin 20 (1975) pp. 388–410; see also the work cited in. Note 3 as Competition p. 73.
See D. Swann, D. P. O’Brien, W. P. J. Maunder and W. S. Howe, Competition in British Industry: Restrictive Practices Legislation in Theory and Practice (London: Allen and Unwin, 1974) (cited as Competition); and by the same authors, Competition in British Industry: Case Studies of the Effects of Restrictive Practices Legislation (Loughborough: Loughborough University, 1974) (cited as Case Studies).
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A. Jacquemin, ‘Firme dominante et politique antitrust’, in J. A. Van Damme (ed.) La Réglementation du comportement des monopoles et enterprises dominantes en droit communautaire (Bruges: De Tempel, 1977) pp. 7–28, p. 10.
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The distinction between parametric and non-parametric tests, and the use of the term ‘distribution-free tests’ are not regarded as unambiguous by the professional statistician. See W. J. Conover, Practical Nonparametric Statistics (London: John Wiley, 1971) p. 93;
and J. V. Bradley, Distribution-Free Statistical Tests (Englewood Cliffs: Prentice-Hall, 1968) p. 15. However, we will adopt conventional usage and employ ‘nonparametric’ and ‘distribution-free’ interchangeably to indicate the class of tests on nominal or ordinal characteristics of the data.
S. Siegel, Nonparametric Statistics for the Behavioural Sciences (New York: McGraw-Hill, 1956; Kogakusha International Student ed., n.d.) p. 19.
Skewness and kurtosis were calculated using the expessions given on p. 185 of the S.P.S.S. Manual (2nd. ed.). See N. H. Nie, C. H. Hull, J. G. Jenkins, K. Steinbrenner and D. H. Bent, Statistical Package for the Social Sciences, 2nd ed (New York: McGraw-Hill, 1975).
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J. Creedy, ‘The Principle of Transfers and the Variance of Logarithms’, Oxford Bulletin of Economics and Statistics, 39 (1977) pp. 151–8.
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© 1979 D. P. O’Brien, W. S. Howe and D. M. Wright with R. J. O’Brien
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O’Brien, D.P., Howe, W.S., Wright, D.M., O’Brien, R.J. (1979). Introduction. In: Competition Policy, Profitability and Growth. Palgrave Macmillan, London. https://doi.org/10.1007/978-1-349-04483-2_1
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DOI: https://doi.org/10.1007/978-1-349-04483-2_1
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