Affiliation:
1. Birkbeck College , University of London
Abstract
Abstract
Can purely predictive models be useful in investigating causal systems? I argue “yes”. Moreover, in many cases not only are they useful, they are essential. The alternative is to stick to models or mechanisms drawn from well-understood theory. But a necessary condition for explanation is empirical success, and in many cases in social and field sciences such success can only be achieved by purely predictive models, not by ones drawn from theory. Alas, the attempt to use theory to achieve explanation or insight without empirical success therefore fails, leaving us with the worst of both worlds—neither prediction nor explanation. Best go with empirical success by any means necessary. I support these methodological claims via case studies of two impressive feats of predictive modelling: opinion polling of political elections, and weather forecasting.
Reference34 articles.
1. Abramowitz, Alan. 2008. It’s about time: forecasting the 2008 Presidential Election with the time-for-change model. International Journal of Forecasting 24: 209–17.10.1016/j.ijforecast.2008.02.002
2. Alexandrova, Anna. 2008. Making models count. Philosophy of Science 75: 383–404.10.1086/592952
3. Alexandrova, Anna; and Northcott, Robert. 2009. Progress in economics. In Oxford Handbook of Philosophy of Economics. Oxford: Oxford University Press.
4. Bechtold, Peter; Koehler, Martin; Jung, Thomas; Doblas-Reyes, Francisco; Leutbecher, Martin; Rodwell, Mark; Vitart, Frederic; and Balsamo, Gianpaolo. 2008. Advances in simulating atmospheric variability with the ECMWF model: from synoptic to decadal time-scales. Quarterly Journal of the Royal Meteorological Society 134: 1337–51. (ECMWF Technical Memorandum No 556)
5. Bechtold, Peter; Bauer, Peter; Berrisford, Paul; Bidlot, Jean; Cardinali, Carla; Haiden, Thomas; Janousek, Martin; Klocke, Daniel; Magnusson, Linus; McNally, Tony; Prates, Fernando; Rodwell, Mark; Semane, Noureddine; and Vitart, Frederic. 2012. Progress in predicting tropical systems: the role of convection. ECMWF Research Department Technical Memorandum no 686.
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