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what other sciences look like

  • Symposium: Why Political Science is not Scientific Enough
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Abstract

In order to have references for discussing mathematical menus in political science, I review the most common types of mathematical formulae used in physics and chemistry, as well as some mathematical advances in economics. Several issues appear relevant: variables should be well defined and measurable; the relationships between variables may be non-linear; the direction of causality should be clearly identified and not assumed on a priori grounds. On these bases, theoretically driven equations on political matters can be validated by empirical tests and can predict observable phenomena.

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References

  • Abramowitz, A.I. (2005) ‘The time-for-change model and the 2004 presidential election: a post-mortem and a look ahead’, PS: Political Science & Politics 38(1): 31.

    Google Scholar 

  • Arrow, K. (1985) ‘Economic history: a necessary though not sufficient condition for an economist’, American Economic Review 75(2): 320–323.

    Google Scholar 

  • Campbell, J.E. (2004) ‘Introduction’, PS: Political Science & Politics 37(4): 733–735.

    Google Scholar 

  • Crease, R.P. (2004) ‘The greatest equations ever’, Physics World, 8(10): 19–23.

    Article  Google Scholar 

  • Farmelo, G. (ed.) (2002) It Must be Beautiful: Great Equations of Modern Science, New York: Granta Books.

    Google Scholar 

  • Leigh, A. and Wolfers, J. (2006) Competing approaches to forecasting elections: economic models, opinion polling and prediction markets, NBER Working Paper No. 12053.

  • Lewis-Beck, M.S. and Tien, C. (2004) ‘Jobs and the job of president: a forecast for 2004’, PS: Political Science & Politics 37(4): 753–758.

    Google Scholar 

  • Malinvaud, E. (1970) ‘The consistency of nonlinear regressions’, The Annals of Mathematical Statistics 41(3): 956–969.

    Article  Google Scholar 

  • McGregor, J.P. (1993) ‘Procrustus and the regression model: on the misuse of the regression model’, PS: Political Science & Politics 26(4): 801–804.

    Google Scholar 

  • Prachowny, M.F.J. (1993) ‘Okun's law: theoretical foundations and revised estimates’, The Review of Economics and Statistics 75(2): 331–336.

    Article  Google Scholar 

  • Sargent, T.J. (1999) The Conquest of American Inflation, Princeton: Princeton University Press.

    Google Scholar 

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Correspondence to Josep M Colomer.

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1I am very grateful to Rein Taagepera for pushing on this, as well as for fruitful exchanges with the other participants in the symposium at the ECPR Conference in Budapest, September 2005. I also acknowledge insightful hints made by José García-Montalvo, Ramon Marimon and Andreu Mas-Colell. The usual caveats regarding the author's sole responsibility apply, this time perhaps even more than usual.

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Colomer, J. what other sciences look like. Eur Polit Sci 6, 134–142 (2007). https://doi.org/10.1057/palgrave.eps.2210119

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  • DOI: https://doi.org/10.1057/palgrave.eps.2210119

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