Abstract
The increasing scale, complexity, and practical success of econometric modelling in recent years requires a rethinking of its foundations. Econometricians have made do with a formal description of the nature and objectives of their work which relies too heavily on the example of the experimental sciences, and thereby gives an incomplete and misleading picture. As a result, we have shown occasional confusion in judging or setting standards for empirical work. Perhaps worse, we have left ourselves open to apparently devastating criticism.
Keywords
- Probability Model
- Econometric Modeling
- Rational Expectation
- Experimental Science
- Forecast Performance
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© 1982 D. Reidel Publishing Company
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Sims, C.A. (1982). Scientific Standards in Econometric Modeling. In: Hazewinkel, M., Kan, A.H.G.R. (eds) Current Developments in the Interface: Economics, Econometrics, Mathematics. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-7933-8_28
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DOI: https://doi.org/10.1007/978-94-009-7933-8_28
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