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Alliance Behavior in Balance of Power Systems: Applying a Poisson Model to Nineteenth-Century Europe*

Published online by Cambridge University Press:  01 August 2014

Patrick J. McGowan
Affiliation:
University of South Carolina
Robert M. Rood
Affiliation:
University of Southern California

Abstract

This paper is a partial systematic test of Morton A. Kaplan's “theory” of alliance behavior in balance of power international systems first proposed in his well-known System and Process in International Politics (1957). Three hypotheses are inferred from Kaplan's writings predicting that in a stable balance of power system, (a) alliances will occur randomly with respect to time; (b) the time intervals between alliances will also be randomly distributed; and (c) a decline in systemic alliance formation rates precedes system changing events, such as general war. We check these hypotheses by applying probability theory, specifically a Poisson model, to the analysis of new data on fifty-five alliances among the five major European powers during the period 1814–1914. Because our research questions are so general, our findings should not be regarded as definitive; however, the data very strongly support our hypotheses. We conclude that Kaplan's verbal model of a balance of power international system has had its credibility enhanced as a result of this paper.

Type
Articles
Copyright
Copyright © American Political Science Association 1975

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Footnotes

*

The authors wish to thank Professors Philip L. Beardsley, William D. Coplin, Richard E. Hayes, Michael K. O'Leary, Randolph M. Siverson and several anonymous referees for their helpful criticisms of the original version of this paper.

References

1 New York: Wiley Science Editions, 1964. First published in 1957. All quotations of Kaplan in this paper are from the 1964 paperback reprint unless otherwise noted.

2 Kaplan, , System and Process, preface and pp. 27–29, 3536 Google Scholar.

3 Representative discussions may be found in: Liska, George, Nations in Alliance: The Limits of Interdependence (Baltimore: The Johns Hopkins University Press, 1962)Google Scholar; Friedman, Julian, Bladen, Christopher and Rosen, Steven, eds., Alliance in International Politics (Boston: Allyn and Bacon, 1970)Google Scholar; Claude, Inis Jr., Power and International Relations (New York: Random House, 1962)Google Scholar; Haas, Ernst B., “The Balance of Power: Prescription, Concept, or Propaganda,” World Politics, 5 (07, 1953), 442447 CrossRefGoogle Scholar and The Balance of Power as a Guide to Policy Making,” Journal of Politics, 15 (08, 1953), 370398 CrossRefGoogle Scholar; Kaplan, System and Process; and Seabury, Paul, ed., Balance of Power (San Francisco: Chandler, 1965)Google Scholar.

4 Kaplan, , System and Process, pp. 2223 Google Scholar. These rules are: “1. Act to increase capabilities, but negotiate rather than fight. 2. Fight rather than pass up an opportunity to increase capabilities. 3, Stop fighting rather than eliminate an essential national actor. 4. Act to oppose any coalition or single actor which tends to assume a position of predominance with respect to the rest of the system. 5. Act to constrain actors who subscribe to supranational organizing principles. 6. Permit defeated or constrained essential actors to re-enter the system as acceptable role partners or act to bring some previously inessential actor within the essential actor classification. Treat all essential actors as acceptable role partners.”

5 Kaplan, , System and Process, pp. 22, 2829 Google Scholar.

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8 Representative discussions are: Kaplan, , System and Process, pp. 35, 66, 115 Google Scholar; Morgenthau, Hans J., Politics Among Nations: The Struggle for Power and Peace, 3rd ed. (New York: Knopf, 1963), pp. 167223 Google Scholar; and Friedman, , “Alliance in International Politics,” p. 23 Google Scholar.

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10 These aspects of the role of alliances as a tool of foreign policy are further discussed in: Dinerstein, Herbert, “The Transformation of Alliance Systems,” American Political Science Review, 59 (09 1965), 589601 CrossRefGoogle Scholar. See also: Liska, , Nations in Alliance, p. 16 Google Scholar; Kaplan, , System and Process, p. 66 Google Scholar; Cross, J. G., “Some Theoretic Characteristics of Economic and Political Coalitions,” Journal of Conflict Resolution, 11 (06, 1967), 187 CrossRefGoogle Scholar; and Masters, Roger, “A Multibloc Model of the International System,” American Political Science Review, 55 (12, 1961), 788 CrossRefGoogle Scholar.

11 This “model” is clearly prescriptive, and hypothetically it is an accurate description and prediction of alliance politics in any balance of power system. Like other rational models, it mixes description, explanation and possible prescription, a point well made by Davis, Otto in “Notes on Strategy and Methodology for a Scientific Political Science,” in Mathematical Applications in Political Science IV, ed. Bernd, Joseph K. (Charlottesville: The University Press of Virginia, 1969), pp. 2238 Google Scholar.

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21 Ibid., preface.

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23 The metaphor, which comes in the middle of Kaplan's discussion of the operation of balance of power, is worth quoting in full. “Just as any particular molecule of gas in a gas tank may travel in any direction, depending upon accidental bumpings with other molecules, particular actions of national actors may depend upon chance or random conjunctions. Yet just as the general pattern of behavior of gas may represent its adjustment to pressure and temperature conditions within the tank, the set of actions of national actors may correspond to the essential rules of the system when the other variables take the appropriate specified values.

Thus, by shifting the focus of analysis from the particular event to the pattern of events, seemingly unique or accidental occurrences become part of a meaningful pattern of occurrences. In this way the historical loses its quality of uniqueness and is translated into the universal language of science” (System and Process, p. 25).

Professor Richard E. Hayes of C.A.C.I., Inc. disagrees with our reading of Kaplan's example, arguing in a personal communication that the metaphor refers to the limited predictability of social systems in general. Our disagreement illustrates the difficulties involved in deriving falsiflable hypotheses from verbal “theories” and “models” such as Kaplan's.

24 An authoritative survey is given by Feller, William, An Introduction to Probability Theory and Its Applications, 3rd ed. (New York: Wiley, 1968)Google Scholar.

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32 Ibid., pp. 35, 125.

33 Ibid., pp. 27–29, 74.

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36 See Julian Friedman et al., eds., Alliance in International Politics, for a survey of this literature.

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49 Siverson, Randolph M. and Duncan, G. T., “Stochastic Models of International Alliance Initiation, 1815–1965,” Department of Political Science University of California, Davis, mimeo, n.d. [1973?], p. 12 Google Scholar.

50 Raiffa, and Schlaifer, , Applied Statistical Decision Theory, p. 283 Google Scholar.

51 Ibid.

52 The best discussion of social scientific applications of the Poisson distribution is given in Coleman, J. S., Introduction to Mathematical Sociology, pp. 288380 Google Scholar.

53 Discussions of aspects of events data making are given in: Azar, Edward, “Analysis of International Events,” Peace Research Reviews, 4, No. 1 (1970)Google Scholar; Azar, Edward, Brody, R. A., and McClelland, C. A., International Event Interaction Analysis: Some Research Considerations, Sage Professional Paper in International Studies 02–001 (Beverly Hills and London: Sage Publications, 1972)Google Scholar; Hermann, C. F., “What is a Foreign Policy Event?” pp. 295321 Google Scholar in Comparative Foreign Policy, ed. Hanreider; Burgess, P. M. and Lawton, R. W., Indicators of International Behavior: An Assessment of Events Data Research. Sage Professional Paper in International Studies 02–010 (Beverly Hills and London: Sage Publications, 1972)Google Scholar; and McGowan, P. J., “A Bayesian Approach to the Problem of Events Data Validity,” pp. 407433 Google Scholar in Comparing Foreign Policies, ed. Rosenau, J. N. (New York: Halsted Press (a Sage Publications Book), 1974)Google Scholar.

54 Brian Healy and Arthur Stein, “The Balance of Power in International History: Theory and Reality,” Goodman, Ronald, Hart, Jeff, and Rosecrance, Richard, “Testing International Relations Theory: Methods and Data in a Situational Analysis of International Politics,” Ithaca: Cornell University Situational Analysis Project Paper No. 2, mimeo, 01, 1970 Google Scholar; and Hart, Jeff, “Symmetry and Polarization in the European International System: 1870–1879,” Ithaca: Cornell University Situational Analysis Project Paper No. 3, mimeo, (1972)Google Scholar.

55 As described in Rood, , “Agreement in the International System,” pp. 171175 Google Scholar.

56 Our sources were: Albrecht-Carrié, René, A Diplomatic History of Europe Since the Congress of Vienna (New York: Harper, 1958)Google Scholar; Gulick, E. V., Europe's Classical Balance of Power (New York: W. W. Norton, 1955)Google Scholar; Kissinger, H. A., A World Restored: Metternich, Castlereagh and the Problems of Peace, 1812–22 (Boston: Houghton Mifflin, 1957)Google Scholar; Langer, W. L., European Alliances and Alignments, 1871–1890, 2nd ed. (New York: Random House-Vintage Books, 1964)Google Scholar; Lobanov-Rostovsky, Andrei, Russia and Europe 1825–1878 (Ann Arbor: George Whar Publishing, 1954)Google Scholar; Mowat, R. B., The European States System: A Study of International Relations, 2nd ed. (London: Oxford University Press, 1929)Google Scholar; Seaman, L. C. B., From Vienna to Versailles (New York: Harper, 1963)Google Scholar; Seton-Watson, R. W., Britain in Europe, 1789–1914 (New York: Howard Fertig, 1968)Google Scholar; and Taylor, A. J. P., The Struggle for Mastery in Europe 1848–1918 (Oxford: The Clarendon Press, 1954)Google Scholar.

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58 As described in Singer and Small, “Formal Alliances, 1815–1939,” and “Formal Alliances, 1816–1965.”

59 Rood, , “Agreement in the International System,” pp. 183201. This dissertation is available from University Microfilms in Ann Arbor, Michigan Google Scholar.

60 Ibid., pp. 171–202.

61 Singer, and Small, , “Formal Alliances, 1815–1939,” pp. 2427 Google Scholar.

62 Rood, , “Agreement in the International System,” pp. 6467 Google Scholar.

63 Rosecrance, R. N., Action and Reaction in World Politics (Boston: Little, Brown, 1963), pp. 239256 Google Scholar.

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67 Feller, , An Introduction to Probability Theory, p. 156 Google Scholar, who argues that the three principal distributions are the binomial, the normal, and the Poisson, a point agreed to by Yule, and Kendall, , An Introduction to the Theory of Statistics, p. 169 Google Scholar.

68 Feller, pp. 153–164; Lindley, , An Introduction to Probability and Statistics from a Bayesian Viewpoint, pp. 6374 Google Scholar; Mendenhal, William and Scheaffer, Richard L., Mathmatical Statistics with Applications (North Scituate, Mass.: Duxbury Press, 1973), pp. 8185 Google Scholar; Raiffa, and Schlaifer, , Applied Statistical Decision Theory, pp. 221–222, 275289 Google Scholar; and Yule and Kendall, pp. 189–194.

69 Haight, F. A., Handbook of the Poisson Distribution (New York: Wiley, 1967)Google Scholar; Kitagawa, T., Tables of Poisson Distribution (Tokyo: Baifukan, 1952)Google Scholar.

70 Coleman, , An Introduction to Mathematical Sociology, pp. 288311 Google Scholar.

71 Lindley, , An Introduction to Probability and Statistics, pp. 6373 Google Scholar.

72 We give only the theorems presented by Lindley relevant to this paper.

73 Pearson, E. S. and Hartley, H. O., Biometrika Tables for Statisticians, Volume I, 3rd ed. (Cambridge: Cambridge University Press, 1966), pp. 1112 Google Scholar; Yule and Kendall, pp. 469–477.

74 That is, only when X 2 is large, so that for a given degree of freedom its probability is less than .10 or .05, is the null hypothesis rejected and the inference made that the observed distribution was not generated by a Poisson process. This is not a very conservative procedure. It unfortunately leaves open the possibility of Type II error, i.e., the inference that the null hypothesis prevails when in fact the alternate hypothesis is correct.

75 Kempthorne, and Folks, , Probability, Statistics, and Data Analysis, p. 92 Google Scholar.

76 Hayes, Richard E., “Identifying and Measuring changes in the Frequency of Event Data,” International Studies Quarterly, 17 (12, 1973), 471493 CrossRefGoogle Scholar.

77 Coleman, , An Introduction to Mathematical Sociology, pp. 291, 299 Google Scholar.

78 Kaplan, , System and Process, 1964 prefaceGoogle Scholar.

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80 Kitagawa, , Tables of Poisson Distribution, p. 65 Google Scholar.

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82 Denton, F. H., “Some Regularities in International Conflict, 1820–1949,” Background, 9 (02, 1966), 283296 CrossRefGoogle Scholar. This journal is now the International Studies Quarterly.

83 This research is under way. In a recent paper we correlated our alliance flexibility scores with the Singer and Small interstate war data for the same period of time and for our five actors only. We found strong and statistically significant evidence for the hypotheses that alliance formation (hence balance of power system flexibility) is negatively associated with the occurrence of war and war magnitude, severity and intensity ( Rood, R. M. and McGowan, P. J., “Flexibility in Balance of Power Alliance Systems and International War,” a paper delivered at the Third Annual Conference of the Southern Section of the Peace Science Society [International], Durham: Duke University, 04 4–5, 1974)Google Scholar. Our findings represent an independent replication of the well-known results of Singer and Small that alliance aggregation in the nineteenth century was negatively related to warfare; see Singer and Small, “National Alliance Commitments and War Involvement, 1815–1945,” and “Alliance Aggregation and the Onset of War, 1815–1945.”

84 Richardson, , Statistics of Deadly Quarrels, pp. 128142 Google Scholar; Singer, and Small, , The Wages of War, pp. 205206 Google Scholar.