The corrupting sea: a study of Mediterranean history by Peregrine Horden

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By Peregrine Horden

The Corrupting Sea is a historical past of the connection among humans and their environments within the Mediterranean area over a few 3,000 years. It deals a singular research of this courting by way of microecologies and the customarily wide networks to which they belong.

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In some contexts it might be appropriate to think of an infinite as opposed to a finite population. 3 below. For a brief introduction to general sampling procedures, see H. M. , McGraw-Hill, 1979. R. S. Schofield, ‘Sampling in historical research’, in E. A. ), Nineteenth-Century Society, Essays in the Use of Quantitative Methods for the Study of Social Data, Cambridge University Press, 1972, pp. 146–90, is an excellent discussion of sampling procedures in an historical context. It is not necessary to know any more about the constant e, but for those who are curious it is equal to the limiting value of the exponential expression ΂ ΃ 1ϩ 5 6 7 1 n n as n approaches infinity.

For an excellent introduction to the debate about the terms of trade see John Spraos, ‘The statistical debate on the net barter terms of trade between primary commodities and manufactures’, Economic Journal, 90, 1980, pp. 107–28.     8 9 10 11 12 13 14 Among the classic studies of business cycles are T. S. Ashton, Economic Fluctuations in England, 1700–1800, Oxford University Press, 1959; A. D. Gayer, W. W. Rostow and A. J. Schwartz, The Growth and Fluctuation of the British Economy, 1790–1850, Oxford University Press, 1953; and Arthur F.

The data are taken from Julian Hoppit, Risk and Failure in English Business, 1700–1800, Cambridge University Press, 1987, pp. 187–96. For his own de-seasonalized series Hoppit used a 61-quarter moving average, so our results are not exactly the same as his, though the differences are small. , pp. 104–21.      The final adjustment, made in row (7), also eliminates the trend, thus leaving only the irregular fluctuations in a de-trended and de-seasonalized series. Since in this case there was little movement in the trend over these years (see row (2)), the series in row (7) does not diverge much from the series in row (6).

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